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Research papers/topics in computer engineering, enhancing personalization and sales conversion in e-commerce: the role of ai in the app shop experience.

A shopping application that can be easily designed and built using the Flutter framework. “Shop AI” offers customers a good platform and efficient shopping experience in terms of convenience and functionality. this report focusing on the design and development framework. It explores application architecture and shows how Flutter’s versatility helps developers create cross-platform, responsive, and visually appealing user interfaces. Discover the main features of ”Shop AI” by searchi...

Algorithms and Data Structures Part 4: Searching and Sorting (Wikipedia Book 2014)

Searching 1 Search algorithm 1 Linear search 3 Binary search algorithm 6 Sorting 14 Sorting algorithm 14 Bubble sort 25 Quicksort 31 Merge sort 43 Insertion sort 52 Heapsort 59 References Article Sources and Contributors 66 Image Sources, Licenses and Contributors 68

E-Store Project Software Requirements Specification Version <4.0>

  Introduction The introduction of the Software Requirements Specification (SRS) provides an overview of the entire SRS with purpose, scope, definitions, acronyms, abbreviations, references and overview of the SRS. The aim of this document is to gather and analyze and give an in-depth insight of the complete Marvel Electronics and Home Entertainment software system by defining the problem statement in detail. Nevertheless, it also concentrates on the capabilities required by stakeholders and...

Skin Cancer Diagnostics with a Smartphone App

Melanoma is one of the deadliest types of skin cancer and can be difficult to treat when it's advanced. To reduce mortality rates, early detection is key. In order to do this, computer-aided systems have been developed to help dermatologists diagnose the condition. To make it more accessible to the public, researchers are working on creating portable, at-home diagnostic systems. An Android-based smartphone application utilizing image capture, preprocessing, and segmentation was developed to e...

Design Control and Monitoring System Of Water Distribution Networks

ABSTRACT  Nowadays, water distribution network automation is becoming more and more popular day by day due to its numerous advantages, an internet-based water distribution network system focuses on monitoring and controlling water distribution network instance. Water distribution network face wastage of water due to improper water supply management, non-monitoring in real time, this caused scarcity of water, scarcity of water consider mainly problem in cities. water distribution network auto...

2D Radar Antenna Orientation and Control

ABSTRACT The RADAR system is the first step and much more important and it has much more effect than the other step in the RADAR system works. The RADAR is used in different applications and systems, almost of these applications need high precision, and it's depending on the accuracy of RADAR ANTENNA orientation. Much research has been done and different systems designed to obtain a result within a permissible range. Design RADAR ANTENNA orientation and control system using FPGA and stepper m...

Design and Optimization of W-Tailored Optical Fiber

ABSTRACT  This research work studies the temperature effects in W-shaped core refractive index optical fiber. The work designs an optimized W-tailored optical fiber (OWTOF) that checks the effect of rising temperatures in W-tailored optical fiber (WTOF) for better communication. Initially, an introduction to the general concept of optical fibers including tailored optical fibers (TOF), temperature effects and models is presented as a background. This is followed by studies on existing litera...

Design of Digital Image Enhancement System Using Noise Filtering Techniques

ABSTRACT  Noise Reduction in digital image is one of the most important and difficult techniques in image research. The aim of Noise Reduction in digital image is to improve the visual appearance of an image, or to provide a better transform representation for another automated image processing. Many images like medical images, satellite images, aerial images and even real-life photographs suffer from viewing, removing blurring and noise, increasing contrast, etc. Reducing noise from the dig...

Design And Implementation Of An Automated Inventory Management System Case Study: Smart Shoppers Masaka

ABSTRACT The general purpose was to develop an efficient Inventory Management System (IMS) that improves service delivery at Smart shoppers’ Masaka. The main objectives were to collect and analyze user requirements that provide the researchers with enough information of what the system users want the system to accomplish, to design an Automated Inventory Management System, to implement a prototype and to test and validate the designed prototype. The methodology used includes Interviews, Que...

Inspired Safari Adventures Official Website

ABSTRACT This project is aimed to work as one of the marketing procedures and cores for Inspired Safari Adventures which acts as a general online website were the all public can view and understand more about the company. The users of this website are generally all the people who want to know about Inspired Safari Adventures in reference to the website components for example understanding the company location activities and so much more as illustrated in the website. The other users include i...

Performance Analysis Of A Single -Server Queue Communication System On A Local Area Network: Case Study: Sharing Youth Centre Cyber Cafe

ABSTRACT This study is primarily focused on investigation of major causes of performance bottlenecks on the respective Organization's Internet Cafe Local Area Network. This investigation is based primarily on analysis of a single-server queue which the system utilizes. The server queue perfotmance is analyzed using various measures of performance, the applications of which are highly referenced from published literature. The study also encompasses other minor elements of performance in the sy...

Design and Implementation of Two-Way Authentication System Using Rapsberry Pi

TABLE OF CONTENTSDECLARATION..........................................................................................................iiACKNOWLEDGEMENTS............................................................................................. iiiAPPROVAL...............................................................................................................ivTABLE OF CONTENTS ...............................................................................................vABBREVIATIONS...

Design & Implementation of Raspberry Pi Based Security System.

TABLE OF CONTENTSDECLARATION................................................................................................................................iAPPROVAL ...................................................................................................................................... iiACKNOWLEDGEMENT................................................................................................................ iiiTABLE OF CONTENTS ................................................

DESIGN AND IMPLEMENTATION OF AN ONLINE PRISON MANAGEMENT SYSTEM (A CASE STUDY OF NIGERIA PRISON SERVICE ENUGU)

ABSTRACTPrisoners’ management in Nigeria has long been a neglected area and has only recently been included in the 20-20 vision document under the e-governance. Currently, prisoner’s records are maintained in a very rudimentary way in the form of manual files and registers. This method of data management often results in human error, delay to retrieve information etc. Thus, An Online Prison Management System was designed and implemented to manage prisoner’s records for the Nigerian pris...

Computer Based Scrabble Game

CHAPTER ONE INTRODUCTION 1.1Background of the Project Scrabble is an old classic board game, with game rules that are not very complicated. Compared to other classic board games, such as Chess, there are more factors to take into consideration when making a move in Scrabble. Apart from anagramming and generating words, there are other crucial decisions to make. A player would probably find several legal moves in one round, and then would have to decide which one to place. Choosing the move th...

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

IT & Computer Science Research Topics

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

  • Algorithms & data structures
  • Artificial intelligence ( AI )
  • Computer networking
  • Database systems
  • Human-computer interaction
  • Information security (IS)
  • Software engineering
  • Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

  • An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
  • A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
  • An evaluation of machine learning algorithms used for recommender systems in streaming services
  • A review of approximation algorithm approaches for solving NP-hard problems
  • An analysis of parallel algorithms for high-performance computing of genomic data
  • The influence of data structures on optimal algorithm design and performance in Fintech
  • A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
  • A comparison of streaming algorithm performance for the detection of elephant flows
  • A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
  • Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
  • Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
  • A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
  • A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
  • Exploring the feasibility of applying information theory to feature extraction in retail datasets.
  • Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

  • Applying deep learning algorithms for speech recognition in speech-impaired children
  • A review of the impact of artificial intelligence on decision-making processes in stock valuation
  • An evaluation of reinforcement learning algorithms used in the production of video games
  • An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
  • An analysis of the ethical and social implications of artificial intelligence-based automated marking
  • The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
  • An examination of the use of artificial intelligence in orthopaedic surgery
  • The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
  • An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
  • A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Research topic idea mega list

Topics & Ideas: Networking

  • An analysis of the impact of 5G technology on internet penetration in rural Tanzania
  • Assessing the role of software-defined networking (SDN) in modern cloud-based computing
  • A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
  • Exploring the influence of cloud computing on security risks in fintech.
  • An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
  • Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
  • An evaluation of the challenges and opportunities in 6G wireless network adoption
  • The role of network congestion control algorithms in improving network performance on streaming platforms
  • An analysis of network coding-based approaches for data security
  • Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

  • An analysis of big data management systems and technologies used in B2B marketing
  • The impact of NoSQL databases on data management and analysis in smart cities
  • An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
  • Exploring the role of data warehousing and business intelligence in global consultancies
  • An analysis of the use of graph databases for data modelling and analysis in recommendation systems
  • The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
  • An examination of the challenges and opportunities of distributed databases in supply chain management
  • Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
  • An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
  • Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

  • An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
  • An exploration of how artificial intelligence is changing human-computer interaction patterns in children
  • An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
  • Assessing the influence of virtual and augmented reality on consumer purchasing patterns
  • An examination of the use of gesture-based interfaces in architecture
  • Exploring the impact of ease of use in wearable technology on geriatric user
  • Evaluating the ramifications of gamification in the Metaverse
  • A systematic review of user experience (UX) design advances associated with Augmented Reality
  • A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
  • Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

  • A bibliometric review of current trends in cryptography for secure communication
  • An analysis of secure multi-party computation protocols and their applications in cloud-based computing
  • An investigation of the security of blockchain technology in patient health record tracking
  • A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
  • A systematic review of secure data storage solutions used for cloud computing in the fintech industry
  • An analysis of intrusion detection and prevention systems used in the healthcare sector
  • Assessing security best practices for IoT devices in political offices
  • An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
  • A comparative study of digital signature schemes adoption in property transfers
  • An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

  • A study of agile software development methodologies and their impact on project success in pharmacology
  • Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
  • A study of the impact of DevOps practices on software development and delivery in the healthcare sector
  • An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
  • A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
  • An investigation of software testing techniques and methodologies for subscription-based offerings
  • A review of software security practices and techniques for protecting against phishing attacks from social media
  • An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
  • Exploring the impact of software development outsourcing on project success in multinational contexts
  • An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

  • An array-based optimization framework for query processing and data analytics (Chen, 2021)
  • Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
  • Embedding constructural documentation in unit tests (Nassif, 2019)
  • PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
  • Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
  • Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
  • Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
  • Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
  • Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
  • Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
  • Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
  • A state-based approach to context modeling and computing (Yue, 2019)
  • A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
  • HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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Computing Engineering Dissertation Topics

Published by Jamie Walker at January 10th, 2023 , Revised On August 18, 2023

Over a period of time, dissertations have become an inherent component of higher education studies. They are not only entrenched within the master or a PhD. Degree but also in undergraduate programmes. Computer engineering dissertations allow the researchers to choose a topic of particular interest to them and research further into the topic to add to the current body of literature.

However, choosing a topic from an extensive list of topics is always easier than working on the first topic you find interesting.

To help you get started with brainstorming for computer topic ideas, we have developed a list of the latest computer engineering dissertation topics that can be used for writing your computer engineering dissertation.

These topics have been developed by PhD-qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting  a brief research proposal  from our writers on any of these topics, which includes an  introduction  to the problem,  research questions , aim and objectives ,  literature review  along with the proposed  methodology  of research to be conducted.  Let us know  if you need any help in getting started.

Check our  example dissertations  to get an idea of  how to structure your dissertation .

You can review step by step guide on how to write your dissertation  here.

View our free dissertation topics database.

Computer Engineering Dissertation Topics

Computers are the greatest innovation of the modern era and have done wonders for mankind. There is only one language that computers understand; the binary. But there are various high-level coding languages that even computers do not understand and therefore use a compiler for translation.

Computing refers to computer hardware or software coding development technology and covers all aspects of computer technologies. It is the practical and scientific study of the implementation of computing information. Computing is also interchangeably known as computer sciences.

A computing engineer or a computer scientist specializes in practical work, the theory of computing, and the design of computational systems. Essentially, it is the study of structure, expression, mechanization, and feasibility of algorithms (logical procedures) that cause processing, communication, representation, access of information, and acquisition in a computer. This area has a wide range of topics, some of which have been listed below:

  • Risk calculation in the application and development process.
  • Generation of the java application.
  • Implementing a behavioural based approach to detect cheating in online games.
  • Analysis of coding environment of different applications.
  • Identification of different languages used for coding.
  • Identification of stake holder’s interest in App development process.
  • Role of visualization in complex hierarchal structures of computing.
  • Analysing the requirements of Inventory Management Software.
  • Development of single-player simulation game.
  • Investigation of web teaching aid system.
  • Development of online based library management system.
  • Implementation of Electronic banking system.

2022 Computing Engineering Dissertation Topics

Topic 1: an investigation of the blockchain's application on the energy sector leading towards electricity production and e-mobility..

Research Aim: This study aims to investigate the applications of blockchain within the energy sector. This study will identify how blockchain can be used to produce electricity from the comfort of home. Moreover, this study aims to introduce the concept of e-mobility through blockchain, according to which blockchain can be used to share the car ride with the other commuters residing at nearby places. Another objective of this research is to develop a framework that could assess blockchain’s use for the consumers staying within a budget and letting them assess how much money they have been spending so far.

Topic 2: Investigating the Issues that Impact Data Security in Cloud-Based Blockchain Technology: An Global Tourism Industry Case Study

Research Aim: This research focuses on a significant shift in trend found in the worldwide tourist business, which is the usage of the cloud for data and services. It attempts to supply the requirements for this implementation owing to the demand for ease, saving, and improved service providing. Furthermore, it will also focus on the limits of traditional blockchain technology primitives and assess control models. These constraints are related to security issues involving data in a cloud environment in the global tourism industry.

Topic 3: Is Digital Technology overtaking Human Interactions in the Medical Fields? An Examination of the Use of Computational biology and Machine Leaning in Patient Diagnosis and Treatment.

Research Aim: The current study seeks to examine how digital technology is replacing human interactions in the medical industry in the importance of computational biology and machine learning in patient diagnosis and treatment. This study will set forth the theoretical foundations and significance of computational biology and machine learning and will also make recommendations for further enhancement.

Topic 4: Evaluating the use of databases and information retrieval systems in the perspective of the United States National security policy.

Research Aim: The current study aims to evaluate the use of databases and information retrieval systems from the perspective of United States national security policy. This study addresses the databases and information retrieval system to provide a clear understanding. It will also focus on specific elements d criteria in the united state’s national security and highlights the benefits and drawbacks of employing them to enhance national security strategy in the united states.

Topic 5: Development of growing infusion of computer technology in the area of medicine- examining NHS policies.

Research Aim: This research aims to examine the development of the growing infusion of computer technology in the area of medicine by evaluating existing NHS policy. The study will provide a theoretical framework for the application of computer science technologies in medicine and will also set out the benefits of using contemporary computer technology as well as analyse the drawbacks that have occurred as a result of the growth of this new technology in this field. It will also focus on the policies employed by NHS to assist the development of technologies in the UK healthcare sector.

Computer Engineering Dissertation Topics for 2021

A 3-d visualization system for ultrasound images.

Research Aim: This research will focus on the visualization of 3-D ultrasound images and their medical therapy benefits.

Reliable and realistic study of remote communication systems in telephony and multipath faded systems

Research Aim: This research’s primary emphasis is on telephony’s practical implementation in a remote communication system.

Establishing a Neural Network Device

Research Aim: In terms of energy efficiency, the human brain is much greater than any modern supercomputer. A whole new generation of energy-efficient, brain-like computers is being designed for this study.

Methods for Artifact EEG Brain function study, caused by sugar, salt, fat, and their replacements

Research Aim: This study relies on the procedure for calculating sweetness taste is developed and validated. Part of the project includes modern electrode technologies to capture the purest possible brain signal from EEG equipment.

Find 100s of dissertation topics in your other academic subjects in our free topics database.

The impact of Covid-19 on tech spends in 2021

Research Aim: This research aims to study the impact of Covid-19 on tech spends in 2021.

Analysis of information system built for e-learning

Research Aim: This research aims to analyze the information system built for e-learning

Advantages and disadvantages of an information system

Research Aim: This research aims to address the advantages and disadvantages of an information system.

Covid-19 Computer Engineering Research Topics

Research to study the effects of coronavirus on it industries.

Research Aim: This research will focus on the impacts of COVID-19 on the growth of IT industries highlighting the issues responsible for it and the possible solutions to overcome them.

Research to identify the impact of Coronavirus on the computer science research community

Research Aim: Coronavirus has infected thousands of people and has been responsible for the deaths of several innocent people worldwide. This study will focus on identifying the effects of this pandemic on the computer science research community.

Research to study the impacts of COVID-19 on tech spends in 2021

Research Aim: As a result of COVID-19, the economy of the entire world has been disrupted. The purpose of this research is to know the tech expenditures after COVID-19 became widespread. How are the tech industries dealing with the challenging situation created by COVID-19?

Research to identify the contribution of computer science to control the spread of Coronavirus pandemic

Research Aim: This research aims at identifying the contributions and efforts made by computer engineers to control the pandemic. What is the role of computer scientists during the pandemic?

Research to identify the unemployment of computer engineers after the Coronavirus pandemic

Research Aim: This research will focus on identifying the increased unemployment issues raised after the COVID-19 pandemic and finding out the possible solutions to overcome the reduced unemployment of computer engineers.

Hardware, Network and Security Dissertation Topics

Network security is very crucial for any organisation. It is dependent upon a well-managed network through the implementation of policies drafted by network administrators to manage the access of the organisational information. Network security provides stability, safety, integrity, reliability, and utility of data and network.

It works efficiently with the latest hardware equipment and updated software. Network security offers many advantages to businesses, such as protection against any disruption to keep employees motivated, energetic, regular, and productive.

In certain instances, a virus may break into the network security. However, the network administrator generally uses an anti-virus program to prevent this sort of attack.

Therefore, it will be fair to say that network security plays a vital role in maintaining a business’s reputation and operations which is the most important asset to any organisation. Below is a list of topics that you can base your dissertation on:

  • Performance analysis of transmission control protocol over Ethernet LAN.
  • Gateway usage for the intrusion detection system.
  • Impact of security machinimas in online transactions.
  • Investigation of smart card specification.
  • Importance of router placement in the network.
  • Level of customer’s trust in E-banking.
  • Role of antivirus in a shared network.
  • Application of database technologies for data network management.
  • Network worm: A headache to networking.
  • Implementation of various tools in programming language.
  • Study of retroactive data structures.
  • Role of Voice over Internet Protocol over Ethernet LAN.
  • The usefulness of data transfer security over Wi-Fi Network.
  • Influence of signal strength of Wi-Fi upon data transfer.
  • Analysis of tree inclusion complexities.
  • Analysis of the implementation of the set procedure.
  • Analysis of the application of programming tools.
  • Implementation of File Sharing System in Network.
  • Study of virus behaviours in the secured programming environment.
  • Investigation of issues of user’s security and data protection over the network.
  • Benefits of network security to customers.
  • Improvements of mobile data service for future usage.
  • Study of Asymmetry k-center variant.
  • Analysis of issues in emerging 4G networks.
  • Role of dynamic proxies in a mobile environment to support Remote method Invocation.

Software, Programming and Algorithm Dissertation Topics

In layman language, the software is collectively known as the “combination of operating information and all the programs that are being used by the computer.” It is a set of instructions to direct computers to perform a specific task depending upon thususer’s instructions.

The software can be written in both high and low-level languages. Low-level language is also known as machine code and is faster because it doesn’t require any compiler and directly communicates with the computer. A high-level language is pretty similar to a human language, and therefore can be easily understood by the developers. High-level language requires the compiler to translate commands to the computer.

Programming and algorithms can be termed as commands given to the computer to perform actions. Programming leads to executable programs from a computing problem and involves developing, generating, and analysing algorithms. Algorithms refer to an act done involving a step-by-step process to solve a problem. It is a set of logic written in software.

There are two types of software; operating software that helps in operation and system software necessary to run a system. Operating software can be rewritten and changed according to demand, but system software cannot be altered. If developers require any alterations, they would have to develop new software.

There are various topics that can be considered for  research dissertation purposes  under this theme, a list of which is given below.

  • Application of algorithms.
  • Importance of approximation algorithms on graphs.
  • Critical analysis of data structures on trees.
  • Evaluation and implementation of new algorithms.
  • System software: A link to communicate hardware.
  • Difference between binary dispatching and multiple dispatching.
  • Analysis of plan sweep techniques.
  • Investigation of software support to drivers of devices.
  • Intelligent interface for database systems.
  • Analysis of function and types of union-find.
  • The usefulness of different coding languages.
  • Application of basic hardware knowledge and math skills.
  • Analysis of the design of converter based on new moduli.
  • Analysis of information travelling via software.
  • Evaluation and implementation of heuristic algorithms.
  • Development of applications using Java.
  • Analysis of fault tolerance in a network by using simulation.
  • Importance of system software for computers.
  • Effects of larger integer module operations.
  • Consequences of wrong commands in coding.
  • Investigation of the coding language of system software.
  • Analysis of feasibility environment of platform.
  • Evaluation of heuristic algorithms for generating clusters.
  • Critical analysis of fixed control variable.
  • Analysis of design of converter with large dynamic range.
  • Ways to recover corrupted software.
  • Analysis of fault tolerance of sorting network.
  • Analysis of the difference between LAN and WAN.
  • Development of an algorithm for a one-way hashing system.
  • Relation between dynamic access and fixed values.
  • Importance of right language selection while coding.
  • Study of optimization problems.
  • Analysis of security frameworks for web services.
  • Investigating algorithms techniques.
  • Partial persistence of algorithms vs others.
  • Study of time and space problems of algorithmic functions.
  • Effects of linear and logarithmic factors over programming.
  • Discussion about union-find with deletion.
  • Importance of data structure for bridge core problems.
  • Consequences of fault in interconnected networks.
  • Difference between rooted and unrooted tree.

Information Systems Dissertation Topics

Information systems refer to a group of people and computers that are being used for the interpretation of all kinds of information. Computer-based information systems are a very interesting topic for research. It includes all information regarding decision making, management support, and operations and can also be used to access the database.

There is an obvious difference between computer systems, information systems, and business processes. The information system provides the tools to manage businesses successfully.

An information system can be said to be a workstation where humans and machines work together towards the success of a business. One such example is Wal-Mart. The company is entirely based on information systems and has connected its suppliers, vendors, customers and together.

It deals with a large number of data and consists of hardware, software, network, and telecommunications of the operation. Below is a list of research topics in the field of information systems for you to base your dissertation  on:

  • Analysis of challenges in building information systems for any organisation.
  • Impact of cyberinfrastructure on the customer.
  • Role of information system in scientific innovations.
  • The usefulness of information systems for businesses.
  • Advantages of information systems.
  • Access to information systems by employees anywhere in the world.
  • Preparation of a database management system.
  • Analysis and solution of database management systems.
  • Study of support of information system to hardware.
  • Managing information systems of big stores, The case of Walmart.
  • Analysis of information system built for E-learning.
  • Critical analysis of the changing nature of the web.
  • Role of information system in decision making of disruptions.
  • Examine customer response through the information system.
  • Investigate the impact of a virus in the network
  • Relationship between I.T education and an organization.
  • Role of information system in global warming.
  • Investigate the reason for adopting green information systems.
  • Analysis of the between social networks and information systems.
  • Role of information system in dealing with complex business problems.

Important Notes:

As a computing engineering student looking to get good grades, it is essential to develop new ideas and experiment with existing computing engineering theories – i.e., to add value and interest in your research topic.

The field of computing engineering is vast and interrelated to so many other academic disciplines like civil engineering , finance , construction ,  law ,  healthcare , mental health , artificial intelligence , tourism , physiotherapy , sociology , management , marketing and nursing . That is why it is imperative to create a project management dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, there is a possibility that the study is not viable.

This impacts your time and efforts in  writing your dissertation  as you may end up in the cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best computing engineering dissertation topics that fulfill your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample computing engineering dissertation topics to get an idea for your own dissertation.

How to Structure your Dissertation on Computing Engineering

A well-structured   dissertation can help students   to achieve a high overall academic grade.

  • A Title Page
  • Acknowledgements
  • Declaration
  • Abstract: A summary of the research completed
  • Table of Contents
  • Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation  can also be added to this chapter.
  • Literature Review :  This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic, in light of  research questions  to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. Break down of the topic, and key terms can have a positive impact on your dissertation and your tutor.
  • Methodology:  The  data collection  and  analysis  methods and techniques employed by the researcher are presented in the Methodology chapter which usually includes  research design,  research philosophy, research limitations, code of conduct, ethical consideration, data collection methods and  data analysis strategy .
  • Findings and Analysis:  Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include  graphs , charts, and   tables in this chapter to identify meaningful trends and relationships.
  • Discussion  and  Conclusion: The researcher presents his interpretation of results in this chapter, and states whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regards to implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
  • References:  This should be completed in accordance with your University’s requirements
  • Bibliography
  • Appendices:  Any additional information, diagrams, graphs that were used to  complete the  dissertation  but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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How to find dissertation topics about computing engineering.

To find computing engineering dissertation topics:

  • Explore emerging technologies.
  • Investigate industry challenges.
  • Review recent research papers.
  • Consider AI, cybersecurity, IoT.
  • Brainstorm software/hardware innovations.
  • Select a topic aligning with your passion and career aspirations.

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Need interesting and manageable Twitter Marketing dissertation topics? Here are the trending Twitter Marketing dissertation titles so you can choose the most suitable one.

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How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2023-2024

  • Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
  • Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
  • Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
  • Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

  • Machine learning driven design
  • Generative models for structured discrete objects
  • Approximate inference in probabilistic models
  • Accelerating solutions to partial differential equations
  • Innovative uses of automatic differentiation
  • Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

  • Research Areas: Formal methods, programming languages, compilers, computer security.
  • Software verification (for which taking COS 326 / COS 510 is helpful preparation)
  • Game theory of poker or other games (for which COS 217 / 226 are helpful)
  • Computer game-playing programs (for which COS 217 / 226)
  •  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

  • Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
  • Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
  • Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
  • Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
  • Any topic in theoretical computer science.

David August, Room 221

  • Research Areas: Computer Architecture, Compilers, Parallelism
  • Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
  • Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
  • Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

Available for Spring 2024 single-semester IW, only

  • Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
  • Topics in computational and communication complexity.
  • Applications of information theory in complexity theory.
  • Algorithms for problems under real-life assumptions.
  • Game theory, network effects
  • Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

  • Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
  • Methods for collaborative and continual learning.
  • Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

  • Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
  • Natural algorithms (flocking, swarming, social networks, etc).
  • Sublinear algorithms
  • Self-improving algorithms
  • Markov data structures

Danqi Chen, Room 412

Not available for IW or thesis advising, 2023-2024

  • My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
  • Representation learning for text and knowledge bases
  • Pre-training and transfer learning
  • Question answering and reading comprehension
  • Information extraction
  • Text summarization
  • Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Available for single-semester and senior thesis advising, 2023-2024

  • Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)

Jia Deng, Room 423

Available for Fall 2023 single-semester IW, only

  •  Research Areas: Computer Vision, Machine Learning.
  • Object recognition and action recognition
  • Deep Learning, autoML, meta-learning
  • Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

  • Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

  • Research Areas:  Software engineering; software engineering education.
  • Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
  • In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Not available for IW or thesis advising, 2023-2024.

  • Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
  • Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

  • Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
  • Using RL algorithms to applications in science and engineering.
  • Emergent behavior of RL algorithms on high-fidelity robotic simulators.
  • Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

No longer available for single-term IW and senior thesis advising, 2023-2024

  • Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
  • Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
  • Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
  • Quantitative approaches to theoretical linguistics questions
  • Extensions and interfaces for WordNet (English and WN in other languages),
  • Applications of WordNet(s), including:
  • Foreign language tutoring systems,
  • Spelling correction software,
  • Word-finding/suggestion software for ordinary users and people with memory problems,
  • Machine Translation 
  • Sentiment and Opinion detection
  • Automatic reasoning and inferencing
  • Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

  • Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

No longer available for single-semester IW and senior thesis advising, 2023-2024

  • Networking and telecommunications
  • Learning, perception, and intelligence, artificial and otherwise;
  • Human-computer interaction and computer-supported cooperative work
  • Online education, especially in Computer Science Education
  • Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
  • Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

  • Research Areas: Distributed systems, security, networking
  • Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

  • Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
  • Develop a technique for understanding AI models
  • Design a AI model that is interpretable by design
  • Build a paradigm for detecting and/or correcting failure points in an AI model
  • Analyze an existing AI model and/or dataset to better understand its failure points
  • Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
  • Develop a software package for explainable AI
  • Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

  • Research Areas: Formal methods, program analysis, logic decision procedures
  • Finding bugs in open source software using automatic verification tools
  • Software verification (program analysis, model checking, test generation)
  • Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

  • Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
  • Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
  • Implementation and algorithm engineering for control, reinforcement learning and robotics
  • Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

  • Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
  • Optical Neural Networks
  • Hardware-in-the-loop Holography
  • Zero-shot and Simulation-only Learning
  • Object recognition in extreme conditions
  • 3D Scene Representations for View Generation and Inverse Problems
  • Long-range Imaging in Scattering Media
  • Hardware-in-the-loop Illumination and Sensor Optimization
  • Inverse Lidar Design
  • Phase Retrieval Algorithms
  • Proximal Algorithms for Learning and Inference
  • Domain-Specific Language for Optics Design

Kyle Jamieson, Room 306

  • Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
  • See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

  • Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
  • Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
  • Software visualization tools for education
  • Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

  • Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
  • Application-oriented languages, scripting languages.
  • Tools; user interfaces
  • Digital humanities

Zachary Kincaid, Room 219

  • Research areas: programming languages, program analysis, program verification, automated reasoning
  • Independent Research Topics:
  • Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
  • Design a domain-specific programming language, or prototype a new feature for an existing language.
  • Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

Available for single-term IW and senior thesis advising, 2023-2024

  • Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Amit Levy, Room 307

  • Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
  • Distributed hardware testing infrastructure
  • Second factor security tokens
  • Low-power wireless network protocol implementation
  • USB device driver implementation

Kai Li, Room 321

  • Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
  • Fast communication mechanisms for heterogeneous clusters.
  • Approximate nearest-neighbor search for high dimensional data.
  • Data analysis and prediction of in-patient medical data.
  • Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

  • Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
  • Explore new statistical retrieval models for document retrieval and question answering.
  • Apply AI in various fields.
  • Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
  • Any interesting project related to AI, machine learning, and data analysis.

Wyatt Lloyd, Room 323

  • Research areas: Distributed Systems
  • Caching algorithms and implementations
  • Storage systems
  • Distributed transaction algorithms and implementations

Margaret Martonosi, Room 208

  • Quantum Computing research, particularly related to architecture and compiler issues for QC.
  • Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
  • Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
  • Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

  • Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
  • Assessing the effects of government policies, both in the public and private sectors.
  • Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
  • Developing new tools to improve government processes and offer policy alternatives.

Andrés Monroy-Hernández, Room 405

  • Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
  • Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
  • Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

  • Research areas: Distributed systems, high-throughput computing, computer science/engineering education
  • Expansion, improvement, and evaluation of open-source distributed computing software.
  • Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
  • Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
  • Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

  • Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

  • Research areas: Natural Language Processing, Reinforcement Learning
  • Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
  • Transfer learning/generalization in NLP
  • Techniques for generating natural language
  • Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

  • Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
  • Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
  • Possible research topics include:

1.   Quantum algorithms and circuits:

  • i. Design or simulation quantum circuits implementing quantum algorithms.
  • ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

  • i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
  • ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
  • iii. Necessary and sufficient conditions for tractability of Weighted problems.
  • iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

  • i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

  • Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
  • Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

  • Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
  • Implementation and application of algorithms to infer evolutionary processes in cancer
  • Identifying correlations between combinations of genomic mutations in human and cancer genomes
  • Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
  • Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

  • Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
  • Constructing a new method to explain a model / create an interpretable by design model
  • Analyzing a current model / dataset to understand bias within the model/dataset
  • Proposing new fairness evaluations
  • Proposing new methods to train to improve fairness
  • Developing synthetic datasets for fairness / interpretability benchmarks
  • Understanding robustness of models

Ran Raz, Room 240

  • Research Area: Computational Complexity
  • Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

  • Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
  • Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
  • Investigate approaches to robust 3D scan matching
  • Model and compensate for imperfections in 3D printing
  • Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

  • Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
  • Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
  • Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
  • Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

  • Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
  • Gamification of neuroscience (EyeWire  2.0)
  • Semantic segmentation and object detection in brain images from microscopy
  • Computational analysis of brain structure and function
  • Neural network theories of brain function

Jaswinder Pal Singh, Room 324

  • Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
  • Develop a startup company idea, and build a plan/prototype for it.
  • Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
  • Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
  • Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
  • Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

  • Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
  • Whole and cross-genome methods for predicting protein function and protein-protein interactions.
  • Analysis and prediction of biological networks.
  • Computational methods for inferring specific aspects of protein structure from protein sequence data.
  • Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Available for single-semester IW and senior thesis advising, 2022-2023

  • Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
  • Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
  • Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

  • Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
  • Implement and evaluate one or more gene expression analysis algorithm.
  • Develop algorithms for assessment of performance of genomic analysis methods.
  • Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

  • Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
  • Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

  • Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

  • Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
  • Design and implement computer visualizations of algorithms or data structures.
  • Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
  • Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

  • Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
  • Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
  • Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

  • data structures
  • streaming algorithms
  • design and analyze data structures / streaming algorithms
  • prove impossibility results (lower bounds)
  • implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

No longer available for single-term IW  and senior thesis advising, 2023-2024

Opportunities outside the department

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

  • Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

  • Documentation of historic structures
  • Cyber physical systems for structural health monitoring
  • Developing virtual and augmented reality applications for documenting structures
  • Applying machine learning techniques to generate 3D models from 2D plans of buildings
  •  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

  • Consumer protection
  • Content regulation
  • Competition law
  • Economic development
  • Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

  • Design of reliable hardware systems
  • Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

  • Internet security and privacy 
  • Social Networks
  • Privacy technologies, anonymous communication
  • Network Science
  • Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
  • Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
  • Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

  • Research Areas: Memory, the brain and computation 
  • Lab:  Princeton Computational Memory Lab

Potential research topics

  • Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
  • Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

  • Apply game theory to sustainability challenges
  • Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
  • How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

  • Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
  • Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

  • Instrument Princeton's Green (HPCRC) data center
  • Investigate power utilization on an processor core implemented in an FPGA
  • Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
  • Other topics in parallel computer architecture or operating systems

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Home » 500+ Computer Science Research Topics

500+ Computer Science Research Topics

Computer Science Research Topics

Computer Science is a constantly evolving field that has transformed the world we live in today. With new technologies emerging every day, there are countless research opportunities in this field. Whether you are interested in artificial intelligence, machine learning, cybersecurity, data analytics, or computer networks, there are endless possibilities to explore. In this post, we will delve into some of the most interesting and important research topics in Computer Science. From the latest advancements in programming languages to the development of cutting-edge algorithms, we will explore the latest trends and innovations that are shaping the future of Computer Science. So, whether you are a student or a professional, read on to discover some of the most exciting research topics in this dynamic and rapidly expanding field.

Computer Science Research Topics

Computer Science Research Topics are as follows:

  • Using machine learning to detect and prevent cyber attacks
  • Developing algorithms for optimized resource allocation in cloud computing
  • Investigating the use of blockchain technology for secure and decentralized data storage
  • Developing intelligent chatbots for customer service
  • Investigating the effectiveness of deep learning for natural language processing
  • Developing algorithms for detecting and removing fake news from social media
  • Investigating the impact of social media on mental health
  • Developing algorithms for efficient image and video compression
  • Investigating the use of big data analytics for predictive maintenance in manufacturing
  • Developing algorithms for identifying and mitigating bias in machine learning models
  • Investigating the ethical implications of autonomous vehicles
  • Developing algorithms for detecting and preventing cyberbullying
  • Investigating the use of machine learning for personalized medicine
  • Developing algorithms for efficient and accurate speech recognition
  • Investigating the impact of social media on political polarization
  • Developing algorithms for sentiment analysis in social media data
  • Investigating the use of virtual reality in education
  • Developing algorithms for efficient data encryption and decryption
  • Investigating the impact of technology on workplace productivity
  • Developing algorithms for detecting and mitigating deepfakes
  • Investigating the use of artificial intelligence in financial trading
  • Developing algorithms for efficient database management
  • Investigating the effectiveness of online learning platforms
  • Developing algorithms for efficient and accurate facial recognition
  • Investigating the use of machine learning for predicting weather patterns
  • Developing algorithms for efficient and secure data transfer
  • Investigating the impact of technology on social skills and communication
  • Developing algorithms for efficient and accurate object recognition
  • Investigating the use of machine learning for fraud detection in finance
  • Developing algorithms for efficient and secure authentication systems
  • Investigating the impact of technology on privacy and surveillance
  • Developing algorithms for efficient and accurate handwriting recognition
  • Investigating the use of machine learning for predicting stock prices
  • Developing algorithms for efficient and secure biometric identification
  • Investigating the impact of technology on mental health and well-being
  • Developing algorithms for efficient and accurate language translation
  • Investigating the use of machine learning for personalized advertising
  • Developing algorithms for efficient and secure payment systems
  • Investigating the impact of technology on the job market and automation
  • Developing algorithms for efficient and accurate object tracking
  • Investigating the use of machine learning for predicting disease outbreaks
  • Developing algorithms for efficient and secure access control
  • Investigating the impact of technology on human behavior and decision making
  • Developing algorithms for efficient and accurate sound recognition
  • Investigating the use of machine learning for predicting customer behavior
  • Developing algorithms for efficient and secure data backup and recovery
  • Investigating the impact of technology on education and learning outcomes
  • Developing algorithms for efficient and accurate emotion recognition
  • Investigating the use of machine learning for improving healthcare outcomes
  • Developing algorithms for efficient and secure supply chain management
  • Investigating the impact of technology on cultural and societal norms
  • Developing algorithms for efficient and accurate gesture recognition
  • Investigating the use of machine learning for predicting consumer demand
  • Developing algorithms for efficient and secure cloud storage
  • Investigating the impact of technology on environmental sustainability
  • Developing algorithms for efficient and accurate voice recognition
  • Investigating the use of machine learning for improving transportation systems
  • Developing algorithms for efficient and secure mobile device management
  • Investigating the impact of technology on social inequality and access to resources
  • Machine learning for healthcare diagnosis and treatment
  • Machine Learning for Cybersecurity
  • Machine learning for personalized medicine
  • Cybersecurity threats and defense strategies
  • Big data analytics for business intelligence
  • Blockchain technology and its applications
  • Human-computer interaction in virtual reality environments
  • Artificial intelligence for autonomous vehicles
  • Natural language processing for chatbots
  • Cloud computing and its impact on the IT industry
  • Internet of Things (IoT) and smart homes
  • Robotics and automation in manufacturing
  • Augmented reality and its potential in education
  • Data mining techniques for customer relationship management
  • Computer vision for object recognition and tracking
  • Quantum computing and its applications in cryptography
  • Social media analytics and sentiment analysis
  • Recommender systems for personalized content delivery
  • Mobile computing and its impact on society
  • Bioinformatics and genomic data analysis
  • Deep learning for image and speech recognition
  • Digital signal processing and audio processing algorithms
  • Cloud storage and data security in the cloud
  • Wearable technology and its impact on healthcare
  • Computational linguistics for natural language understanding
  • Cognitive computing for decision support systems
  • Cyber-physical systems and their applications
  • Edge computing and its impact on IoT
  • Machine learning for fraud detection
  • Cryptography and its role in secure communication
  • Cybersecurity risks in the era of the Internet of Things
  • Natural language generation for automated report writing
  • 3D printing and its impact on manufacturing
  • Virtual assistants and their applications in daily life
  • Cloud-based gaming and its impact on the gaming industry
  • Computer networks and their security issues
  • Cyber forensics and its role in criminal investigations
  • Machine learning for predictive maintenance in industrial settings
  • Augmented reality for cultural heritage preservation
  • Human-robot interaction and its applications
  • Data visualization and its impact on decision-making
  • Cybersecurity in financial systems and blockchain
  • Computer graphics and animation techniques
  • Biometrics and its role in secure authentication
  • Cloud-based e-learning platforms and their impact on education
  • Natural language processing for machine translation
  • Machine learning for predictive maintenance in healthcare
  • Cybersecurity and privacy issues in social media
  • Computer vision for medical image analysis
  • Natural language generation for content creation
  • Cybersecurity challenges in cloud computing
  • Human-robot collaboration in manufacturing
  • Data mining for predicting customer churn
  • Artificial intelligence for autonomous drones
  • Cybersecurity risks in the healthcare industry
  • Machine learning for speech synthesis
  • Edge computing for low-latency applications
  • Virtual reality for mental health therapy
  • Quantum computing and its applications in finance
  • Biomedical engineering and its applications
  • Cybersecurity in autonomous systems
  • Machine learning for predictive maintenance in transportation
  • Computer vision for object detection in autonomous driving
  • Augmented reality for industrial training and simulations
  • Cloud-based cybersecurity solutions for small businesses
  • Natural language processing for knowledge management
  • Machine learning for personalized advertising
  • Cybersecurity in the supply chain management
  • Cybersecurity risks in the energy sector
  • Computer vision for facial recognition
  • Natural language processing for social media analysis
  • Machine learning for sentiment analysis in customer reviews
  • Explainable Artificial Intelligence
  • Quantum Computing
  • Blockchain Technology
  • Human-Computer Interaction
  • Natural Language Processing
  • Cloud Computing
  • Robotics and Automation
  • Augmented Reality and Virtual Reality
  • Cyber-Physical Systems
  • Computational Neuroscience
  • Big Data Analytics
  • Computer Vision
  • Cryptography and Network Security
  • Internet of Things
  • Computer Graphics and Visualization
  • Artificial Intelligence for Game Design
  • Computational Biology
  • Social Network Analysis
  • Bioinformatics
  • Distributed Systems and Middleware
  • Information Retrieval and Data Mining
  • Computer Networks
  • Mobile Computing and Wireless Networks
  • Software Engineering
  • Database Systems
  • Parallel and Distributed Computing
  • Human-Robot Interaction
  • Intelligent Transportation Systems
  • High-Performance Computing
  • Cyber-Physical Security
  • Deep Learning
  • Sensor Networks
  • Multi-Agent Systems
  • Human-Centered Computing
  • Wearable Computing
  • Knowledge Representation and Reasoning
  • Adaptive Systems
  • Brain-Computer Interface
  • Health Informatics
  • Cognitive Computing
  • Cybersecurity and Privacy
  • Internet Security
  • Cybercrime and Digital Forensics
  • Cloud Security
  • Cryptocurrencies and Digital Payments
  • Machine Learning for Natural Language Generation
  • Cognitive Robotics
  • Neural Networks
  • Semantic Web
  • Image Processing
  • Cyber Threat Intelligence
  • Secure Mobile Computing
  • Cybersecurity Education and Training
  • Privacy Preserving Techniques
  • Cyber-Physical Systems Security
  • Virtualization and Containerization
  • Machine Learning for Computer Vision
  • Network Function Virtualization
  • Cybersecurity Risk Management
  • Information Security Governance
  • Intrusion Detection and Prevention
  • Biometric Authentication
  • Machine Learning for Predictive Maintenance
  • Security in Cloud-based Environments
  • Cybersecurity for Industrial Control Systems
  • Smart Grid Security
  • Software Defined Networking
  • Quantum Cryptography
  • Security in the Internet of Things
  • Natural language processing for sentiment analysis
  • Blockchain technology for secure data sharing
  • Developing efficient algorithms for big data analysis
  • Cybersecurity for internet of things (IoT) devices
  • Human-robot interaction for industrial automation
  • Image recognition for autonomous vehicles
  • Social media analytics for marketing strategy
  • Quantum computing for solving complex problems
  • Biometric authentication for secure access control
  • Augmented reality for education and training
  • Intelligent transportation systems for traffic management
  • Predictive modeling for financial markets
  • Cloud computing for scalable data storage and processing
  • Virtual reality for therapy and mental health treatment
  • Data visualization for business intelligence
  • Recommender systems for personalized product recommendations
  • Speech recognition for voice-controlled devices
  • Mobile computing for real-time location-based services
  • Neural networks for predicting user behavior
  • Genetic algorithms for optimization problems
  • Distributed computing for parallel processing
  • Internet of things (IoT) for smart cities
  • Wireless sensor networks for environmental monitoring
  • Cloud-based gaming for high-performance gaming
  • Social network analysis for identifying influencers
  • Autonomous systems for agriculture
  • Robotics for disaster response
  • Data mining for customer segmentation
  • Computer graphics for visual effects in movies and video games
  • Virtual assistants for personalized customer service
  • Natural language understanding for chatbots
  • 3D printing for manufacturing prototypes
  • Artificial intelligence for stock trading
  • Machine learning for weather forecasting
  • Biomedical engineering for prosthetics and implants
  • Cybersecurity for financial institutions
  • Machine learning for energy consumption optimization
  • Computer vision for object tracking
  • Natural language processing for document summarization
  • Wearable technology for health and fitness monitoring
  • Internet of things (IoT) for home automation
  • Reinforcement learning for robotics control
  • Big data analytics for customer insights
  • Machine learning for supply chain optimization
  • Natural language processing for legal document analysis
  • Artificial intelligence for drug discovery
  • Computer vision for object recognition in robotics
  • Data mining for customer churn prediction
  • Autonomous systems for space exploration
  • Robotics for agriculture automation
  • Machine learning for predicting earthquakes
  • Natural language processing for sentiment analysis in customer reviews
  • Big data analytics for predicting natural disasters
  • Internet of things (IoT) for remote patient monitoring
  • Blockchain technology for digital identity management
  • Machine learning for predicting wildfire spread
  • Computer vision for gesture recognition
  • Natural language processing for automated translation
  • Big data analytics for fraud detection in banking
  • Internet of things (IoT) for smart homes
  • Robotics for warehouse automation
  • Machine learning for predicting air pollution
  • Natural language processing for medical record analysis
  • Augmented reality for architectural design
  • Big data analytics for predicting traffic congestion
  • Machine learning for predicting customer lifetime value
  • Developing algorithms for efficient and accurate text recognition
  • Natural Language Processing for Virtual Assistants
  • Natural Language Processing for Sentiment Analysis in Social Media
  • Explainable Artificial Intelligence (XAI) for Trust and Transparency
  • Deep Learning for Image and Video Retrieval
  • Edge Computing for Internet of Things (IoT) Applications
  • Data Science for Social Media Analytics
  • Cybersecurity for Critical Infrastructure Protection
  • Natural Language Processing for Text Classification
  • Quantum Computing for Optimization Problems
  • Machine Learning for Personalized Health Monitoring
  • Computer Vision for Autonomous Driving
  • Blockchain Technology for Supply Chain Management
  • Augmented Reality for Education and Training
  • Natural Language Processing for Sentiment Analysis
  • Machine Learning for Personalized Marketing
  • Big Data Analytics for Financial Fraud Detection
  • Cybersecurity for Cloud Security Assessment
  • Artificial Intelligence for Natural Language Understanding
  • Blockchain Technology for Decentralized Applications
  • Virtual Reality for Cultural Heritage Preservation
  • Natural Language Processing for Named Entity Recognition
  • Machine Learning for Customer Churn Prediction
  • Big Data Analytics for Social Network Analysis
  • Cybersecurity for Intrusion Detection and Prevention
  • Artificial Intelligence for Robotics and Automation
  • Blockchain Technology for Digital Identity Management
  • Virtual Reality for Rehabilitation and Therapy
  • Natural Language Processing for Text Summarization
  • Machine Learning for Credit Risk Assessment
  • Big Data Analytics for Fraud Detection in Healthcare
  • Cybersecurity for Internet Privacy Protection
  • Artificial Intelligence for Game Design and Development
  • Blockchain Technology for Decentralized Social Networks
  • Virtual Reality for Marketing and Advertising
  • Natural Language Processing for Opinion Mining
  • Machine Learning for Anomaly Detection
  • Big Data Analytics for Predictive Maintenance in Transportation
  • Cybersecurity for Network Security Management
  • Artificial Intelligence for Personalized News and Content Delivery
  • Blockchain Technology for Cryptocurrency Mining
  • Virtual Reality for Architectural Design and Visualization
  • Natural Language Processing for Machine Translation
  • Machine Learning for Automated Image Captioning
  • Big Data Analytics for Stock Market Prediction
  • Cybersecurity for Biometric Authentication Systems
  • Artificial Intelligence for Human-Robot Interaction
  • Blockchain Technology for Smart Grids
  • Virtual Reality for Sports Training and Simulation
  • Natural Language Processing for Question Answering Systems
  • Machine Learning for Sentiment Analysis in Customer Feedback
  • Big Data Analytics for Predictive Maintenance in Manufacturing
  • Cybersecurity for Cloud-Based Systems
  • Artificial Intelligence for Automated Journalism
  • Blockchain Technology for Intellectual Property Management
  • Virtual Reality for Therapy and Rehabilitation
  • Natural Language Processing for Language Generation
  • Machine Learning for Customer Lifetime Value Prediction
  • Big Data Analytics for Predictive Maintenance in Energy Systems
  • Cybersecurity for Secure Mobile Communication
  • Artificial Intelligence for Emotion Recognition
  • Blockchain Technology for Digital Asset Trading
  • Virtual Reality for Automotive Design and Visualization
  • Natural Language Processing for Semantic Web
  • Machine Learning for Fraud Detection in Financial Transactions
  • Big Data Analytics for Social Media Monitoring
  • Cybersecurity for Cloud Storage and Sharing
  • Artificial Intelligence for Personalized Education
  • Blockchain Technology for Secure Online Voting Systems
  • Virtual Reality for Cultural Tourism
  • Natural Language Processing for Chatbot Communication
  • Machine Learning for Medical Diagnosis and Treatment
  • Big Data Analytics for Environmental Monitoring and Management.
  • Cybersecurity for Cloud Computing Environments
  • Virtual Reality for Training and Simulation
  • Big Data Analytics for Sports Performance Analysis
  • Cybersecurity for Internet of Things (IoT) Devices
  • Artificial Intelligence for Traffic Management and Control
  • Blockchain Technology for Smart Contracts
  • Natural Language Processing for Document Summarization
  • Machine Learning for Image and Video Recognition
  • Blockchain Technology for Digital Asset Management
  • Virtual Reality for Entertainment and Gaming
  • Natural Language Processing for Opinion Mining in Online Reviews
  • Machine Learning for Customer Relationship Management
  • Big Data Analytics for Environmental Monitoring and Management
  • Cybersecurity for Network Traffic Analysis and Monitoring
  • Artificial Intelligence for Natural Language Generation
  • Blockchain Technology for Supply Chain Transparency and Traceability
  • Virtual Reality for Design and Visualization
  • Natural Language Processing for Speech Recognition
  • Machine Learning for Recommendation Systems
  • Big Data Analytics for Customer Segmentation and Targeting
  • Cybersecurity for Biometric Authentication
  • Artificial Intelligence for Human-Computer Interaction
  • Blockchain Technology for Decentralized Finance (DeFi)
  • Virtual Reality for Tourism and Cultural Heritage
  • Machine Learning for Cybersecurity Threat Detection and Prevention
  • Big Data Analytics for Healthcare Cost Reduction
  • Cybersecurity for Data Privacy and Protection
  • Artificial Intelligence for Autonomous Vehicles
  • Blockchain Technology for Cryptocurrency and Blockchain Security
  • Virtual Reality for Real Estate Visualization
  • Natural Language Processing for Question Answering
  • Big Data Analytics for Financial Markets Prediction
  • Cybersecurity for Cloud-Based Machine Learning Systems
  • Artificial Intelligence for Personalized Advertising
  • Blockchain Technology for Digital Identity Verification
  • Virtual Reality for Cultural and Language Learning
  • Natural Language Processing for Semantic Analysis
  • Machine Learning for Business Forecasting
  • Big Data Analytics for Social Media Marketing
  • Artificial Intelligence for Content Generation
  • Blockchain Technology for Smart Cities
  • Virtual Reality for Historical Reconstruction
  • Natural Language Processing for Knowledge Graph Construction
  • Machine Learning for Speech Synthesis
  • Big Data Analytics for Traffic Optimization
  • Artificial Intelligence for Social Robotics
  • Blockchain Technology for Healthcare Data Management
  • Virtual Reality for Disaster Preparedness and Response
  • Natural Language Processing for Multilingual Communication
  • Machine Learning for Emotion Recognition
  • Big Data Analytics for Human Resources Management
  • Cybersecurity for Mobile App Security
  • Artificial Intelligence for Financial Planning and Investment
  • Blockchain Technology for Energy Management
  • Virtual Reality for Cultural Preservation and Heritage.
  • Big Data Analytics for Healthcare Management
  • Cybersecurity in the Internet of Things (IoT)
  • Artificial Intelligence for Predictive Maintenance
  • Computational Biology for Drug Discovery
  • Virtual Reality for Mental Health Treatment
  • Machine Learning for Sentiment Analysis in Social Media
  • Human-Computer Interaction for User Experience Design
  • Cloud Computing for Disaster Recovery
  • Quantum Computing for Cryptography
  • Intelligent Transportation Systems for Smart Cities
  • Cybersecurity for Autonomous Vehicles
  • Artificial Intelligence for Fraud Detection in Financial Systems
  • Social Network Analysis for Marketing Campaigns
  • Cloud Computing for Video Game Streaming
  • Machine Learning for Speech Recognition
  • Augmented Reality for Architecture and Design
  • Natural Language Processing for Customer Service Chatbots
  • Machine Learning for Climate Change Prediction
  • Big Data Analytics for Social Sciences
  • Artificial Intelligence for Energy Management
  • Virtual Reality for Tourism and Travel
  • Cybersecurity for Smart Grids
  • Machine Learning for Image Recognition
  • Augmented Reality for Sports Training
  • Natural Language Processing for Content Creation
  • Cloud Computing for High-Performance Computing
  • Artificial Intelligence for Personalized Medicine
  • Virtual Reality for Architecture and Design
  • Augmented Reality for Product Visualization
  • Natural Language Processing for Language Translation
  • Cybersecurity for Cloud Computing
  • Artificial Intelligence for Supply Chain Optimization
  • Blockchain Technology for Digital Voting Systems
  • Virtual Reality for Job Training
  • Augmented Reality for Retail Shopping
  • Natural Language Processing for Sentiment Analysis in Customer Feedback
  • Cloud Computing for Mobile Application Development
  • Artificial Intelligence for Cybersecurity Threat Detection
  • Blockchain Technology for Intellectual Property Protection
  • Virtual Reality for Music Education
  • Machine Learning for Financial Forecasting
  • Augmented Reality for Medical Education
  • Natural Language Processing for News Summarization
  • Cybersecurity for Healthcare Data Protection
  • Artificial Intelligence for Autonomous Robots
  • Virtual Reality for Fitness and Health
  • Machine Learning for Natural Language Understanding
  • Augmented Reality for Museum Exhibits
  • Natural Language Processing for Chatbot Personality Development
  • Cloud Computing for Website Performance Optimization
  • Artificial Intelligence for E-commerce Recommendation Systems
  • Blockchain Technology for Supply Chain Traceability
  • Virtual Reality for Military Training
  • Augmented Reality for Advertising
  • Natural Language Processing for Chatbot Conversation Management
  • Cybersecurity for Cloud-Based Services
  • Artificial Intelligence for Agricultural Management
  • Blockchain Technology for Food Safety Assurance
  • Virtual Reality for Historical Reenactments
  • Machine Learning for Cybersecurity Incident Response.
  • Secure Multiparty Computation
  • Federated Learning
  • Internet of Things Security
  • Blockchain Scalability
  • Quantum Computing Algorithms
  • Explainable AI
  • Data Privacy in the Age of Big Data
  • Adversarial Machine Learning
  • Deep Reinforcement Learning
  • Online Learning and Streaming Algorithms
  • Graph Neural Networks
  • Automated Debugging and Fault Localization
  • Mobile Application Development
  • Software Engineering for Cloud Computing
  • Cryptocurrency Security
  • Edge Computing for Real-Time Applications
  • Natural Language Generation
  • Virtual and Augmented Reality
  • Computational Biology and Bioinformatics
  • Internet of Things Applications
  • Robotics and Autonomous Systems
  • Explainable Robotics
  • 3D Printing and Additive Manufacturing
  • Distributed Systems
  • Parallel Computing
  • Data Center Networking
  • Data Mining and Knowledge Discovery
  • Information Retrieval and Search Engines
  • Network Security and Privacy
  • Cloud Computing Security
  • Data Analytics for Business Intelligence
  • Neural Networks and Deep Learning
  • Reinforcement Learning for Robotics
  • Automated Planning and Scheduling
  • Evolutionary Computation and Genetic Algorithms
  • Formal Methods for Software Engineering
  • Computational Complexity Theory
  • Bio-inspired Computing
  • Computer Vision for Object Recognition
  • Automated Reasoning and Theorem Proving
  • Natural Language Understanding
  • Machine Learning for Healthcare
  • Scalable Distributed Systems
  • Sensor Networks and Internet of Things
  • Smart Grids and Energy Systems
  • Software Testing and Verification
  • Web Application Security
  • Wireless and Mobile Networks
  • Computer Architecture and Hardware Design
  • Digital Signal Processing
  • Game Theory and Mechanism Design
  • Multi-agent Systems
  • Evolutionary Robotics
  • Quantum Machine Learning
  • Computational Social Science
  • Explainable Recommender Systems.
  • Artificial Intelligence and its applications
  • Cloud computing and its benefits
  • Cybersecurity threats and solutions
  • Internet of Things and its impact on society
  • Virtual and Augmented Reality and its uses
  • Blockchain Technology and its potential in various industries
  • Web Development and Design
  • Digital Marketing and its effectiveness
  • Big Data and Analytics
  • Software Development Life Cycle
  • Gaming Development and its growth
  • Network Administration and Maintenance
  • Machine Learning and its uses
  • Data Warehousing and Mining
  • Computer Architecture and Design
  • Computer Graphics and Animation
  • Quantum Computing and its potential
  • Data Structures and Algorithms
  • Computer Vision and Image Processing
  • Robotics and its applications
  • Operating Systems and its functions
  • Information Theory and Coding
  • Compiler Design and Optimization
  • Computer Forensics and Cyber Crime Investigation
  • Distributed Computing and its significance
  • Artificial Neural Networks and Deep Learning
  • Cloud Storage and Backup
  • Programming Languages and their significance
  • Computer Simulation and Modeling
  • Computer Networks and its types
  • Information Security and its types
  • Computer-based Training and eLearning
  • Medical Imaging and its uses
  • Social Media Analysis and its applications
  • Human Resource Information Systems
  • Computer-Aided Design and Manufacturing
  • Multimedia Systems and Applications
  • Geographic Information Systems and its uses
  • Computer-Assisted Language Learning
  • Mobile Device Management and Security
  • Data Compression and its types
  • Knowledge Management Systems
  • Text Mining and its uses
  • Cyber Warfare and its consequences
  • Wireless Networks and its advantages
  • Computer Ethics and its importance
  • Computational Linguistics and its applications
  • Autonomous Systems and Robotics
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The Top 10 Most Interesting Computer Science Research Topics

Computer science touches nearly every area of our lives. With new advancements in technology, the computer science field is constantly evolving, giving rise to new computer science research topics. These topics attempt to answer various computer science research questions and how they affect the tech industry and the larger world.

Computer science research topics can be divided into several categories, such as artificial intelligence, big data and data science, human-computer interaction, security and privacy, and software engineering. If you are a student or researcher looking for computer research paper topics. In that case, this article provides some suggestions on examples of computer science research topics and questions.

Find your bootcamp match

What makes a strong computer science research topic.

A strong computer science topic is clear, well-defined, and easy to understand. It should also reflect the research’s purpose, scope, or aim. In addition, a strong computer science research topic is devoid of abbreviations that are not generally known, though, it can include industry terms that are currently and generally accepted.

Tips for Choosing a Computer Science Research Topic

  • Brainstorm . Brainstorming helps you develop a few different ideas and find the best topic for you. Some core questions you should ask are, What are some open questions in computer science? What do you want to learn more about? What are some current trends in computer science?
  • Choose a sub-field . There are many subfields and career paths in computer science . Before choosing a research topic, ensure that you point out which aspect of computer science the research will focus on. That could be theoretical computer science, contemporary computing culture, or even distributed computing research topics.
  • Aim to answer a question . When you’re choosing a research topic in computer science, you should always have a question in mind that you’d like to answer. That helps you narrow down your research aim to meet specified clear goals.
  • Do a comprehensive literature review . When starting a research project, it is essential to have a clear idea of the topic you plan to study. That involves doing a comprehensive literature review to better understand what has been learned about your topic in the past.
  • Keep the topic simple and clear. The topic should reflect the scope and aim of the research it addresses. It should also be concise and free of ambiguous words. Hence, some researchers recommended that the topic be limited to five to 15 substantive words. It can take the form of a question or a declarative statement.

What’s the Difference Between a Research Topic and a Research Question?

A research topic is the subject matter that a researcher chooses to investigate. You may also refer to it as the title of a research paper. It summarizes the scope of the research and captures the researcher’s approach to the research question. Hence, it may be broad or more specific. For example, a broad topic may read, Data Protection and Blockchain, while a more specific variant can read, Potential Strategies to Privacy Issues on the Blockchain.

On the other hand, a research question is the fundamental starting point for any research project. It typically reflects various real-world problems and, sometimes, theoretical computer science challenges. As such, it must be clear, concise, and answerable.

How to Create Strong Computer Science Research Questions

To create substantial computer science research questions, one must first understand the topic at hand. Furthermore, the research question should generate new knowledge and contribute to the advancement of the field. It could be something that has not been answered before or is only partially answered. It is also essential to consider the feasibility of answering the question.

Top 10 Computer Science Research Paper Topics

1. battery life and energy storage for 5g equipment.

The 5G network is an upcoming cellular network with much higher data rates and capacity than the current 4G network. According to research published in the European Scientific Institute Journal, one of the main concerns with the 5G network is the high energy consumption of the 5G-enabled devices . Hence, this research on this topic can highlight the challenges and proffer unique solutions to make more energy-efficient designs.

2. The Influence of Extraction Methods on Big Data Mining

Data mining has drawn the scientific community’s attention, especially with the explosive rise of big data. Many research results prove that the extraction methods used have a significant effect on the outcome of the data mining process. However, a topic like this analyzes algorithms. It suggests strategies and efficient algorithms that may help understand the challenge or lead the way to find a solution.

3. Integration of 5G with Analytics and Artificial Intelligence

According to the International Finance Corporation, 5G and AI technologies are defining emerging markets and our world. Through different technologies, this research aims to find novel ways to integrate these powerful tools to produce excellent results. Subjects like this often spark great discoveries that pioneer new levels of research and innovation. A breakthrough can influence advanced educational technology, virtual reality, metaverse, and medical imaging.

4. Leveraging Asynchronous FPGAs for Crypto Acceleration

To support the growing cryptocurrency industry, there is a need to create new ways to accelerate transaction processing. This project aims to use asynchronous Field-Programmable Gate Arrays (FPGAs) to accelerate cryptocurrency transaction processing. It explores how various distributed computing technologies can influence mining cryptocurrencies faster with FPGAs and generally enjoy faster transactions.

5. Cyber Security Future Technologies

Cyber security is a trending topic among businesses and individuals, especially as many work teams are going remote. Research like this can stretch the length and breadth of the cyber security and cloud security industries and project innovations depending on the researcher’s preferences. Another angle is to analyze existing or emerging solutions and present discoveries that can aid future research.

6. Exploring the Boundaries Between Art, Media, and Information Technology

The field of computers and media is a vast and complex one that intersects in many ways. They create images or animations using design technology like algorithmic mechanism design, design thinking, design theory, digital fabrication systems, and electronic design automation. This paper aims to define how both fields exist independently and symbiotically.

7. Evolution of Future Wireless Networks Using Cognitive Radio Networks

This research project aims to study how cognitive radio technology can drive evolution in future wireless networks. It will analyze the performance of cognitive radio-based wireless networks in different scenarios and measure its impact on spectral efficiency and network capacity. The research project will involve the development of a simulation model for studying the performance of cognitive radios in different scenarios.

8. The Role of Quantum Computing and Machine Learning in Advancing Medical Predictive Systems

In a paper titled Exploring Quantum Computing Use Cases for Healthcare , experts at IBM highlighted precision medicine and diagnostics to benefit from quantum computing. Using biomedical imaging, machine learning, computational biology, and data-intensive computing systems, researchers can create more accurate disease progression prediction, disease severity classification systems, and 3D Image reconstruction systems vital for treating chronic diseases.

9. Implementing Privacy and Security in Wireless Networks

Wireless networks are prone to attacks, and that has been a big concern for both individual users and organizations. According to the Cyber Security and Infrastructure Security Agency CISA, cyber security specialists are working to find reliable methods of securing wireless networks . This research aims to develop a secure and privacy-preserving communication framework for wireless communication and social networks.

10. Exploring the Challenges and Potentials of Biometric Systems Using Computational Techniques

Much discussion surrounds biometric systems and the potential for misuse and privacy concerns. When exploring how biometric systems can be effectively used, issues such as verification time and cost, hygiene, data bias, and cultural acceptance must be weighed. The paper may take a critical study into the various challenges using computational tools and predict possible solutions.

Other Examples of Computer Science Research Topics & Questions

Computer research topics.

  • The confluence of theoretical computer science, deep learning, computational algorithms, and performance computing
  • Exploring human-computer interactions and the importance of usability in operating systems
  • Predicting the limits of networking and distributed systems
  • Controlling data mining on public systems through third-party applications
  • The impact of green computing on the environment and computational science

Computer Research Questions

  • Why are there so many programming languages?
  • Is there a better way to enhance human-computer interactions in computer-aided learning?
  • How safe is cloud computing, and what are some ways to enhance security?
  • Can computers effectively assist in the sequencing of human genes?
  • How valuable is SCRUM methodology in Agile software development?

Choosing the Right Computer Science Research Topic

Computer science research is a vast field, and it can be challenging to choose the right topic. There are a few things to keep in mind when making this decision. Choose a topic that you are interested in. This will make it easier to stay motivated and produce high-quality research for your computer science degree .

Select a topic that is relevant to your field of study. This will help you to develop specialized knowledge in the area. Choose a topic that has potential for future research. This will ensure that your research is relevant and up-to-date. Typically, coding bootcamps provide a framework that streamlines students’ projects to a specific field, doing their search for a creative solution more effortless.

Computer Science Research Topics FAQ

To start a computer science research project, you should look at what other content is out there. Complete a literature review to know the available findings surrounding your idea. Design your research and ensure that you have the necessary skills and resources to complete the project.

The first step to conducting computer science research is to conceptualize the idea and review existing knowledge about that subject. You will design your research and collect data through surveys or experiments. Analyze your data and build a prototype or graphical model. You will also write a report and present it to a recognized body for review and publication.

You can find computer science research jobs on the job boards of many universities. Many universities have job boards on their websites that list open positions in research and academia. Also, many Slack and GitHub channels for computer scientists provide regular updates on available projects.

There are several hot topics and questions in AI that you can build your research on. Below are some AI research questions you may consider for your research paper.

  • Will it be possible to build artificial emotional intelligence?
  • Will robots replace humans in all difficult cumbersome jobs as part of the progress of civilization?
  • Can artificial intelligence systems self-improve with knowledge from the Internet?

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Home > College of Natural Sciences > COMPUTERSCI-ENGINEERING > COMPUTERSCI-ENGINEERING-ETD

Computer Science and Engineering Theses, Projects, and Dissertations

Theses/projects/dissertations from 2023 2023.

CLASSIFICATION OF LARGE SCALE FISH DATASET BY DEEP NEURAL NETWORKS , Priyanka Adapa

GEOSPATIAL WILDFIRE RISK PREDICTION USING DEEP LEARNING , Abner Alberto Benavides

HUMAN SUSPICIOUS ACTIVITY DETECTION , Nilamben Bhuva

MAX FIT EVENT MANAGEMENT WITH SALESFORCE , AKSHAY DAGWAR

MELANOMA DETECTION BASED ON DEEP LEARNING NETWORKS , Sanjay Devaraneni

Heart Disease Prediction Using Binary Classification , Virendra Sunil Devare

CLASSIFICATION OF THORAX DISEASES FROM CHEST X-RAY IMAGES , Sharad Jayusukhbhai Dobariya

WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY , Likhitha Reddy Eddala

Sales and Stock Management System , Rashmika Gaddam Ms

CONTACTLESS FOOD ORDERING SYSTEM , Rishivar Kumar Goli

RESTAURANT MANAGEMENT WEBSITE , Akhil Sai Gollapudi

DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION , poojitha gutha

DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA , Rutuja Sanjeev Haridas

CRIME MAPPING ANALYSIS USING WEB APPLICATION. , Lavanya Krishnappa

A LONG-TERM FUNDS PREDICTOR BASED ON DEEP LEARNING , SHUIYI KUANG

LIVER SEGMENTATION AND LESION DETECTION IN MEDICAL IMAGES USING A DEEP LEARNING-BASED U-NET MODEL , Kaushik Mahida

PHASOR MEASUREMENT UNIT DATA VISUALIZATION , Nikhila Mandava

TWITTER POLICING , Hemanth Kumar Medisetty

TRANSACTION MANAGEMENT SYSYEM FOR A PUBLISHER , HASSAIN SHAREEF MOHAMMED JR

LOBANGU: AN OPTICAL CHARACTER RECOGNITION RECEIPT MANAGEMENT APP FOR HEALTH CENTER PHARMACIES IN THE D.R.CONGO AND SURROUNDING EASTERN AFRICAN COUNTRIES , Bénis Munganga

PREDICTIVE MODEL FOR CFPB CONSUMER COMPLAINTS , Vyshnavi Nalluri

REVIEW CLASSIFICATION USING NATURAL LANGUAGE PROCESSING AND DEEP LEARNING , Brian Nazareth

Brain Tumor Detection Using MRI Images , Mayur Patel

QUIZ WEB APPLICATION , Dipti Rathod

HYPOTHYROID DISEASE ANALYSIS BY USING MACHINE LEARNING , SANJANA SEELAM

Pillow Based Sleep Tracking Device Using Raspberry Pi , Venkatachalam Seviappan

FINSERV ANDROID APPLICATION , Harsh Piyushkumar Shah

AUTOMATED MEDICAL NOTES LABELLING AND CLASSIFICATION USING MACHINE LEARNING , Akhil Prabhakar Thota

GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET , Asitha Thumpati

GOVERNMENT AID PORTAL , Darshan Togadiya

GENERAL POPULATION PROJECTION MODEL WITH CENSUS POPULATION DATA , Takenori Tsuruga

LUNG LESION SEGMENTATION USING DEEP LEARNING APPROACHES , Sree Snigdha Tummala

DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING , Saranya Valleri

Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation , Peter Wright

Theses/Projects/Dissertations from 2022 2022

LEARN PROGRAMMING IN VIRTUAL REALITY? A PROJECT FOR COMPUTER SCIENCE STUDENTS , Benjamin Alexander

LUNG CANCER TYPE CLASSIFICATION , Mohit Ramajibhai Ankoliya

HIGH-RISK PREDICTION FOR COVID-19 PATIENTS USING MACHINE LEARNING , Raja Kajuluri

IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS , Umesh Makhloga

DETECTION OF EPILEPSY USING MACHINE LEARNING , Balamurugan Murugesan

SOCIAL MOBILE APPLICATION: UDROP , Mahmoud Oraiqat

Improved Sensor-Based Human Activity Recognition Via Hybrid Convolutional and Recurrent Neural Networks , Sonia Perez-Gamboa

College of Education FileMaker Extraction and End-User Database Development , Andrew Tran

DEEP LEARNING EDGE DETECTION IN IMAGE INPAINTING , Zheng Zheng

Theses/Projects/Dissertations from 2021 2021

A General Conversational Chatbot , Vipin Nambiar

Verification System , Paras Nigam

DESKTOP APPLICATION FOR THE PUZZLE BOARD GAME “RUSH HOUR” , Huanqing Nong

Ahmedabad City App , Rushabh Picha

COMPUTER SURVEILLANCE SYSTEM USING WI-FI FOR ANDROID , Shashank Reddy Saireddy

ANDROID PARKING SYSTEM , Vishesh Reddy Sripati

Sentiment Analysis: Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , Yue Zhou

Theses/Projects/Dissertations from 2020 2020

BUBBLE-IN DIGITAL TESTING SYSTEM , Chaz Hampton

FEEDBACK REVIEW SYSTEM USING SENTIMENT ANALYSIS , Vineeth Kukkamalla

WEB APPLICATION FOR MOVIE PERFORMANCE PREDICTION , Devalkumar Patel

Theses/Projects/Dissertations from 2019 2019

REVIEWS TO RATING CONVERSION AND ANALYSIS USING MACHINE LEARNING TECHNIQUES , Charitha Chanamolu

EASY EXAM , SARTHAK DABHI

EXTRACT TRANSFORM AND LOADING TOOL FOR EMAIL , Amit Rajiv Lawanghare

VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN , Amey Zulkanthiwar

Theses/Projects/Dissertations from 2018 2018

USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS) , Sara Hussain Daghustani

California State University, San Bernardino Chatbot , Krutarth Desai

ORGANIZE EVENTS MOBILE APPLICATION , Thakshak Mani Chandra Reddy Gudimetla

SOCIAL NETWORK FOR SOFTWARE DEVELOPERS , Sanket Prabhakar Jadhav

VIRTUALIZED CLOUD PLATFORM MANAGEMENT USING A COMBINED NEURAL NETWORK AND WAVELET TRANSFORM STRATEGY , Chunyu Liu

INTER PROCESS COMMUNICATION BETWEEN TWO SERVERS USING MPICH , Nagabhavana Narla

SENSOR-BASED HUMAN ACTIVITY RECOGNITION USING BIDIRECTIONAL LSTM FOR CLOSELY RELATED ACTIVITIES , Arumugam Thendramil Pavai

NEURAL NETWORK ON VIRTUALIZATION SYSTEM, AS A WAY TO MANAGE FAILURE EVENTS OCCURRENCE ON CLOUD COMPUTING , Khoi Minh Pham

EPICCONFIGURATOR COMPUTER CONFIGURATOR AND CMS PLATFORM , IVO A. TANTAMANGO

STUDY ON THE PATTERN RECOGNITION ENHANCEMENT FOR MATRIX FACTORIZATIONS WITH AUTOMATIC RELEVANCE DETERMINATION , hau tao

Theses/Projects/Dissertations from 2017 2017

CHILDREN’S SOCIAL NETWORK: KIDS CLUB , Eiman Alrashoud

MULTI-WAY COMMUNICATION SYSTEM , S. Chinnam

WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM , Sayali Dhumal

MOBILE APPLICATION FOR ATTENDANCE SYSTEM COYOTE-ATTENDANCE , Sindhu Hari

WEB APPLICATION FOR GRADUATE COURSE ADVISING SYSTEM , Sanjay Karrolla

Custom T-Shirt Designs , Ranjan Khadka

STUDENT CLASS WAITING LIST ENROLLMENT , AISHWARYA LACHAGARI

ANDROID MOBILE APPLICATION FOR HOSPITAL EXECUTIVES , Vihitha Nalagatla

PIPPIN MACHINE , Kiran Reddy Pamulaparthy

SOUND MODE APPLICATION , Sindhuja Pogaku

I2MAPREDUCE: DATA MINING FOR BIG DATA , Vishnu Vardhan Reddy Sherikar

COMPARING AND IMPROVING FACIAL RECOGNITION METHOD , Brandon Luis Sierra

NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS , Qianqian Wang

AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM , Yu Zhou

Theses/Projects/Dissertations from 2016 2016

CLOTH - MODELING, DEFORMATION, AND SIMULATION , Thanh Ho

CoyoteLab - Linux Containers for Educational Use , Michael D. Korcha

PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS , Essa Yahya M Muharish

DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP , Bir Apaar Singh Sodhi

Theses/Projects/Dissertations from 2015 2015

APPLY DATA CLUSTERING TO GENE EXPRESSION DATA , Abdullah Jameel Abualhamayl Mr.

Density Based Data Clustering , Rayan Albarakati

Developing Java Programs on Android Mobile Phones Using Speech Recognition , Santhrushna Gande

THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME , Mehdi Peiravi

CALIFORNIA STATE UNIVERSITY SAN BERNARDINO WiN GPS , Francisco A. Ron

ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE , Lekhya Sai Sake

A WEB-BASED TEMPERATURE MONITORING SYSTEM FOR THE COLLEGE OF ARTS AND LETTERS , Rigoberto Solorio

ANTICS: A CROSS-PLATFORM MOBILE GAME , Gerren D. Willis

Theses/Projects/Dissertations from 2014 2014

Introducing Non-Determinism to the Parallel C Compiler , Rowen Concepcion

THE I: A CLIENT-BASED POINT-AND-CLICK PUZZLE GAME , Aldo Lewis

Interactive Student Planner Application , NII TETTEH TACKIE YARBOI

ANDROID MOBILE APPLICATION FOR CREST COMMUNITY CHURCH IN RIVERSIDE , Ran Wei

Proton Computed Tomography: Matrix Data Generation Through General Purpose Graphics Processing Unit Reconstruction , micah witt

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101 Best Computer Science Topics for 2023

computer science topics

Any student will know the difficulty that comes with developing and choosing a great topic in computer science. Generally speaking, a good topic should be original, interesting, and challenging. It should push the limits of the field of study while still adequately answering the main questions brought on by the study. We understand the stress that this may cause students, which is why we’ve dedicated our time to search the web and print resources to find the latest computer science topics that create the biggest waves in the field. Here’s the list of the top computer science research topics for 2023 you can use for an essay or senior thesis :

AP Computer Science Topics for Students Entering College

  • How has big data impacted the way small businesses conduct market research?
  • Does machine learning negatively impact the way neurons in the brain work?
  • Did biotech change how medicine is administered to patients?
  • How is human perception affected by virtual reality technologies?
  • How can education benefit from using virtual reality in learning?
  • Are quantum computers the way of the future or are they just a fad?
  • Has the Covid-19 pandemic delayed advancements in computer science?

Computer Science Research Paper Topics for High School

  • How successful has distance learning computer tech been in the time of Covid-19?
  • Will computer assistance in businesses get rid of customer service needs?
  • How has encryption and decryption technology changed in the last 20 years?
  • Can AI impact computer management and make it automated?
  • Why do programmers avoid making a universal programming language?
  • How important are human interactions with computer development?
  • How will computers change in the next five to ten years?

Controversial Topics in Computer Science for Grad Students

  • What is the difference between math modeling and art?
  • How are big-budget Hollywood films being affected by CGI technologies?
  • Should students be allowed to use technology in classrooms other than comp science?
  • How important is it to limit the amount of time we spend using social media?
  • Are quantum computers for personal or home use realistic?
  • How are embedded systems changing the business world?
  • In what ways can human-computer interactions be improved?

Computer Science Capstone Project Ideas for College Courses

  • What are the physical limitations of communication and computation?
  • Is SCRUM methodology still viable for software development?
  • Are ATMs still secure machines to access money or are they a threat?
  • What are the best reasons for using open source software?
  • The future of distributed systems and its use in networks?
  • Has the increased use of social media positively or negatively affected our relationships?
  • How is machine learning impacted by artificial intelligence?

Interesting Computer Science Topics for College Students

  • How has Blockchain impacted large businesses?
  • Should people utilize internal chips to track their pets?
  • How much attention should we pay to the content we read on the web?
  • How can computers help with human genes sequencing?
  • What can be done to enhance IT security in financial institutions?
  • What does the digitization of medical fields mean for patients’ privacy?
  • How efficient are data back-up methods in business?

Hot Topics in Computer Science for High School Students

  • Is distance learning the new norm for earning postgraduate degrees?
  • In reaction to the Covid-19 pandemic should more students take online classes?
  • How can game theory aid in the analysis of algorithms?
  • How can technology impact future government elections?
  • Why are there fewer females in the computer science field?
  • Should the world’s biggest operating systems share information?
  • Is it safe to make financial transactions online?

Ph.D. Research Topics in Computer Science for Grad Students

  • How can computer technology help professional athletes improve performance?
  • How have Next Gen Stats changed the way coaches game plan?
  • How has computer technology impacted medical technology?
  • What impact has MatLab software had in the medical engineering field?
  • How does self-adaptable application impact online learning?
  • What does the future hold for information technology?
  • Should we be worried about addiction to computer technology?

Computer Science Research Topics for Undergraduates

  • How has online sports gambling changed IT needs in households?
  • In what ways have computers changed learning environments?
  • How has learning improved with interactive multimedia and similar technologies?
  • What are the psychological perspectives on IT advancements?
  • What is the balance between high engagement and addiction to video games?
  • How has the video gaming industry changed over the decades?
  • Has social media helped or damaged our communication habits?

Research Paper Topics in Computer Science

  • What is the most important methodology in project planning?
  • How has technology improved people’s chances of winning in sports betting?
  • How has artificial technology impacted the U.S. economy?
  • What are the most effective project management processes in IT?
  • How can IT security systems help the practice of fraud score generation?
  • Has technology had an impact on religion?
  • How important is it to keep your social networking profiles up to date?

More Computer Science Research Papers Topics

  • There is no area of human society that is not impacted by AI?
  • How adaptive learning helps today’s professional world?
  • Does a computer program code from a decade ago still work?
  • How has medical image analysis changed because of IT?
  • What are the ethical concerns that come with data mining?
  • Should colleges and universities have the right to block certain websites?
  • What are the major components of math computing?

Computer Science Thesis Topics for College Students

  • How can logic and sets be used in computing?
  • How has online gambling impacted in-person gambling?
  • How did the 5-G network generation change communication?
  • What are the biggest challenges to IT due to Covid-19?
  • Do you agree that assembly language is a new way to determine data-mine health?
  • How can computer technology help track down criminals?
  • Is facial recognition software a violation of privacy rights?

Quick and Easy Computer Science Project Topics

  • Why do boys and girls learn the technology so differently?
  • How effective are computer training classes that target young girls?
  • How does technology affect how medicines are administered?
  • Will further advancements in technology put people out of work?
  • How has computer science changed the way teachers educate?
  • Which are the most effective ways of fighting identify theft?

Excellent Computer Science Thesis Topic Ideas

  • What are the foreseeable business needs computers will fix?
  • What are the pros and cons of having smart home technology?
  • How does computer modernization at the office affect productivity?
  • How has computer technology led to more job outsourcing?
  • Do self-service customer centers sufficiently provide solutions?
  • How can a small business compete without updated computer products?

Computer Science Presentation Topics

  • What does the future hold for virtual reality?
  • What are the latest innovations in computer science?
  • What are the pros and cons of automating everyday life?
  • Are hackers a real threat to our privacy or just to businesses?
  • What are the five most effective ways of storing personal data?
  • What are the most important fundamentals of software engineering?

Even More Topics in Computer Science

  • In what ways do computers function differently from human brains?
  • Can world problems be solved through advancements in video game technology?
  • How has computing helped with the mapping of the human genome?
  • What are the pros and cons of developing self-operating vehicles?
  • How has computer science helped developed genetically modified foods?
  • How are computers used in the field of reproductive technologies?

Our team of academic experts works around the clock to bring you the best project topics for computer science student. We search hundreds of online articles, check discussion boards, and read through a countless number of reports to ensure our computer science topics are up-to-date and represent the latest issues in the field. If you need assistance developing research topics in computer science or need help editing or writing your assignment, we are available to lend a hand all year. Just send us a message “ help me write my thesis ” and we’ll put you in contact with an academic writer in the field.

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Biomedical Informatics

Biomed imaging and visualization, cloud computing, cybersecurity, cyber-physical systems, databases and data mining.

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Assistive technologies and learning with disabilities.

"Disabilities can be very traumatic, leading to frustration and depression," according to the American Foundation for the Blind. The rate of unemployment among legally blind individuals of working age residing in the United States greatly exceeds the unemployment rate for individuals with no functional limitations. Clever devices and information technology engineering strategies can be developed to help people overcome barriers to pursue educational and professional opportunities that will allow them to become productive members of the society.

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Bioinformatics advances fundamental concepts in molecular biology, biochemistry, and computer science to help further understanding of basic DNA, genes, and protein structures it relates to mechanisms for drug development and treatment of diseases.

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Biomedical imaging and visualization research has become a very active research field during the last two decades, offering unique solutions for a great variety of biological and biomedical problems. Analysis and visualization of medical images facilitates diagnosis and treatment planning. Visualization systems used as surgical navigation systems enable precise and minimally invasive surgery.

  • Image registration in surgical navigation
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  • Design of a surgical robot assistance for biopsy
  • Detection and visualization of brain shift during brain surgery
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  • EEG+fMRI Modeling of the Brain
  • Ultrasound Modeling of Human organs (heart, liver)
  • Bio-signatures of in-vivo cells
  • Thomas Wischgoll
  • Advanced Visual Data Analysis (AViDA)

Cloud computing is a major step toward organizing all aspects of computation as a public utility service. It embraces concepts such as software as a service and platform as a service, including services for workflow facilities, application design and development, deployment and hosting services, data integration, and management of software. The cloud platform increases in importance as our industry makes the phase change from in-house data management to cloud-hosted data management to improve efficiency and focus on core businesses. However, like any new technology, there are formidable problems, from performance issues to security and privacy, from metadata management to massively parallel execution.

This is a major part of the Kno.e.sis Research Center.

  • Cloud infrastructure for data management
  • Privacy and security in cloud data management
  • Cloud-based mining and learning algorithms
  • Cloud support for text mining and web search
  • Large-scale natural language modeling and translation
  • Parallel and distributed algorithms for bioinformatics
  • Performance evaluation and benchmarking
  • Database Research Laboratory
  • Bioinformatics Research Group

The Department of Computer Science and Engineering of Wright State University recently received a grant, titled "REU Site: Cybersecurity Research at Wright State University", from the National Science Foundation. This NSF REU site offers a ten-week summer program that aims at providing a diverse group of motivated undergraduates with competitive research experiences in cyber-security research. A variety of projects will be offered in Network Security, Intrusion Detection, Wireless Sensor Network Security, Internet Malware Detection, Analysis, and Mitigation, Software Reverse Engineering and Vulnerability Discovery, and Privacy-Preserving Data Mining. More information of this REU Site can be found at http://reu.cs.wright.edu .  

In addition there are two ongoing projects sponsored by DARPA and ONR for Deepfake techniques, Deep Understanding of Technical Documents, and Computer Security (like memory attacks).

  • Junjie Zhang
  • WSU Cybersecurity Lab

Related Programs

  • Master of Science in Cybersecurity
  • Undergraduate

Cyber-Physical Systems are jointly physical and computational and are characterized by complex loops of cause and effect between the computational and physical components. We focus on the creation of methods by which such systems can self-adapt to repair damage and exploit opportunities and methods by which we can explain and understand how they operate even after having diverged from their original forms. Our current application area the creation of control systems for insect-like flapping-wing air vehicles that repair themselves, in flight, after suffering wing damage.

Click here for more information about Cyber Physical Systems at Wright State University

Data mining is the process of extracting useful knowledge from a database. Data mining facilitates the characterization, classification, clustering, and searching of different databases, including text data, image and video data, and bioinformatics data for various applications. Text, multimedia, and bioinformatics databases are very large and so parallel/distributed data mining is essential for scalable performance.

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Mathematical, statistical, and graphical methods for exploring large and complex data sets.  Methods include statistical pattern recognition, multivariate data analysis, classifiers, modeling and simulation, and scientific visualization.

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Multimedia systems offer synergistic and integrated solutions to a great variety of applications related to multi-modality data, such as automatic target recognition, surveillance, tracking human behavior, etc.

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Semantic, Social and Sensor Webs

The World Wide Web contains rapidly growing amount of enterprise, social, device/sensor/IoT/WoT data in unstructured, semistructured and structured forms. The Semantic Web initiative by the World Wide Web consortium (W3C) of which Wright State University is a member (represented by Kno.e.sis) has developed standards and technologies to associate meaning to data, to make data more machine and human understandable, and to apply reasoning techniques for intelligent processing leading to actionable information, insights, and discovery. Kno.e.sis has one of the largest academic groups in the US in Semantic Web, and its applications for better use and analysis of social and sensor data.

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Machine learning and artificial intelligence aim to develop computer systems that exhibit intelligent behavior in decision making, object recognition, planning, learning, and other applications that require intelligent assessment of complex information.  Our faculty apply modern tools such as deep neural networks, evolutionary algorithms, statistical inference, topological analysis, and graphical inference models to a wide variety of problems from engineering, science, and medicine.

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Wireless communication and networking have revolutionized the way people communicate. Currently, there are more than two billion cellular telephone subscribers worldwide. Wireless local area networks have become a necessity in many parts of the globe. With new wireless enabled applications being proposed every day, such as wireless sensor networks, telemedicine, music telepresence, and intelligent web, the potential of this discipline is just being unleashed.

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Research areas represent the major research activities in the Department of Computer Science. Faculty and students have developed new ideas to achieve results in all aspects of the nine areas of research.

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Samir Khuller Chair and Professor Phone: 847-491-2748 Email Samir

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Hiring CS Graduates: What We Learned from Employers

Computer science ( CS ) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer science-specific hiring processes. However, the hiring process for CS majors may be different. It is critical to have up-to-date information on questions such as “what positions are in high demand for CS majors?,” “what is a typical hiring process?,” and “what do employers say they look for when hiring CS graduates?” This article discusses the analysis of a survey of 218 recruiters hiring CS graduates in the United States. We used Atlas.ti to analyze qualitative survey data and report the results on what positions are in the highest demand, the hiring process, and the resume review process. Our study revealed that a software developer was the most common job the recruiters were looking to fill. We found that the hiring process steps for CS graduates are generally aligned with traditional hiring steps, with an additional emphasis on technical and coding tests. Recruiters reported that their hiring choices were based on reviewing resume’s experience, GPA, and projects sections. The results provide insights into the hiring process, decision making, resume analysis, and some discrepancies between current undergraduate CS program outcomes and employers’ expectations.

A Systematic Literature Review of Empiricism and Norms of Reporting in Computing Education Research Literature

Context. Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly enough to perform replications, conduct meta-analyses, and build theories. There is a need to understand whether published research allows the CER community to systematically advance knowledge and build theories. Objectives. The goal of this study is to characterize the reporting of empiricism in Computing Education Research literature by identifying whether publications include content necessary for researchers to perform replications, meta-analyses, and theory building. We answer three research questions related to this goal: (RQ1) What percentage of papers in CER venues have some form of empirical evaluation? (RQ2) Of the papers that have empirical evaluation, what are the characteristics of the empirical evaluation? (RQ3) Of the papers that have empirical evaluation, do they follow norms (both for inclusion and for labeling of information needed for replication, meta-analysis, and, eventually, theory-building) for reporting empirical work? Methods. We conducted a systematic literature review of the 2014 and 2015 proceedings or issues of five CER venues: Technical Symposium on Computer Science Education (SIGCSE TS), International Symposium on Computing Education Research (ICER), Conference on Innovation and Technology in Computer Science Education (ITiCSE), ACM Transactions on Computing Education (TOCE), and Computer Science Education (CSE). We developed and applied the CER Empiricism Assessment Rubric to the 427 papers accepted and published at these venues over 2014 and 2015. Two people evaluated each paper using the Base Rubric for characterizing the paper. An individual person applied the other rubrics to characterize the norms of reporting, as appropriate for the paper type. Any discrepancies or questions were discussed between multiple reviewers to resolve. Results. We found that over 80% of papers accepted across all five venues had some form of empirical evaluation. Quantitative evaluation methods were the most frequently reported. Papers most frequently reported results on interventions around pedagogical techniques, curriculum, community, or tools. There was a split in papers that had some type of comparison between an intervention and some other dataset or baseline. Most papers reported related work, following the expectations for doing so in the SIGCSE and CER community. However, many papers were lacking properly reported research objectives, goals, research questions, or hypotheses; description of participants; study design; data collection; and threats to validity. These results align with prior surveys of the CER literature. Conclusions. CER authors are contributing empirical results to the literature; however, not all norms for reporting are met. We encourage authors to provide clear, labeled details about their work so readers can use the study methodologies and results for replications and meta-analyses. As our community grows, our reporting of CER should mature to help establish computing education theory to support the next generation of computing learners.

Light Diacritic Restoration to Disambiguate Homographs in Modern Arabic Texts

Diacritic restoration (also known as diacritization or vowelization) is the process of inserting the correct diacritical markings into a text. Modern Arabic is typically written without diacritics, e.g., newspapers. This lack of diacritical markings often causes ambiguity, and though natives are adept at resolving, there are times they may fail. Diacritic restoration is a classical problem in computer science. Still, as most of the works tackle the full (heavy) diacritization of text, we, however, are interested in diacritizing the text using a fewer number of diacritics. Studies have shown that a fully diacritized text is visually displeasing and slows down the reading. This article proposes a system to diacritize homographs using the least number of diacritics, thus the name “light.” There is a large class of words that fall under the homograph category, and we will be dealing with the class of words that share the spelling but not the meaning. With fewer diacritics, we do not expect any effect on reading speed, while eye strain is reduced. The system contains morphological analyzer and context similarities. The morphological analyzer is used to generate all word candidates for diacritics. Then, through a statistical approach and context similarities, we resolve the homographs. Experimentally, the system shows very promising results, and our best accuracy is 85.6%.

A genre-based analysis of questions and comments in Q&A sessions after conference paper presentations in computer science

Gender diversity in computer science at a large public r1 research university: reporting on a self-study.

With the number of jobs in computer occupations on the rise, there is a greater need for computer science (CS) graduates than ever. At the same time, most CS departments across the country are only seeing 25–30% of women students in their classes, meaning that we are failing to draw interest from a large portion of the population. In this work, we explore the gender gap in CS at Rutgers University–New Brunswick, a large public R1 research university, using three data sets that span thousands of students across six academic years. Specifically, we combine these data sets to study the gender gaps in four core CS courses and explore the correlation of several factors with retention and the impact of these factors on changes to the gender gap as students proceed through the CS courses toward completing the CS major. For example, we find that a significant percentage of women students taking the introductory CS1 course for majors do not intend to major in CS, which may be a contributing factor to a large increase in the gender gap immediately after CS1. This finding implies that part of the retention task is attracting these women students to further explore the major. Results from our study include both novel findings and findings that are consistent with known challenges for increasing gender diversity in CS. In both cases, we provide extensive quantitative data in support of the findings.

Designing for Student-Directedness: How K–12 Teachers Utilize Peers to Support Projects

Student-directed projects—projects in which students have individual control over what they create and how to create it—are a promising practice for supporting the development of conceptual understanding and personal interest in K–12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design principle identified by a group of K–12 computer science teachers who support student-directed projects in their classrooms: in order for students to develop their own ideas and determine how to pursue them, students must have opportunities to engage with other students’ work. In this qualitative study, we investigated the instructional practices of 25 K–12 teachers using a series of in-depth, semi-structured interviews to develop understandings of how they used peer work to support student-directed projects in their classrooms. Teachers described supporting their students in navigating three stages of project development: generating ideas, pursuing ideas, and presenting ideas. For each of these three stages, teachers considered multiple factors to encourage engagement with peer work in their classrooms, including the quality and completeness of shared work and the modes of interaction with the work. We discuss how this pedagogical approach offers students new relationships to their own learning, to their peers, and to their teachers and communicates important messages to students about their own competence and agency, potentially contributing to aims within computer science for broadening participation.

Creativity in CS1: A Literature Review

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.

CATS: Customizable Abstractive Topic-based Summarization

Neural sequence-to-sequence models are the state-of-the-art approach used in abstractive summarization of textual documents, useful for producing condensed versions of source text narratives without being restricted to using only words from the original text. Despite the advances in abstractive summarization, custom generation of summaries (e.g., towards a user’s preference) remains unexplored. In this article, we present CATS, an abstractive neural summarization model that summarizes content in a sequence-to-sequence fashion while also introducing a new mechanism to control the underlying latent topic distribution of the produced summaries. We empirically illustrate the efficacy of our model in producing customized summaries and present findings that facilitate the design of such systems. We use the well-known CNN/DailyMail dataset to evaluate our model. Furthermore, we present a transfer-learning method and demonstrate the effectiveness of our approach in a low resource setting, i.e., abstractive summarization of meetings minutes, where combining the main available meetings’ transcripts datasets, AMI and International Computer Science Institute(ICSI) , results in merely a few hundred training documents.

Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysis

Factors affecting student educational choices regarding oer material in computer science, export citation format, share document.

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200+ Best Engineering Research Paper Topics in 2022

Engineering Research Topics

Since the dawn of humanity, there have been  engineering issues   and a need to solve them. Without technological understanding, ancient civilizations would not have been feasible because even then, enormous cities were being constructed with the aid of engineering principles.

This list of research issues aims to familiarise anyone interested in real-world engineering with specific scenarios that occur during practically any sort of professional activity of an engineer and call for ethical problem-level solutions.

You should first define the direction of engineering before beginning your research. You can locate an intriguing research topic in a variety of areas and subtopics. Students interested in history can learn more about engineering anthropology and comprehend this field's numerous phenomena and growth.

Genetic engineering might be a topic for those that enjoy biology. Additionally, any student is free to approach the teacher for suggestions on the most delicate subject matter.

You can choose the topic that will help you find a lot of useful technical information with the assistance of someone with years of experience.

There are many intriguing  engineering research paper   themes available in today's technologically advanced world. However, their diversity can also be an issue because it might be difficult to choose the proper one if you want to present high-quality work.

In this post, we provide a list of intriguing research paper topics for engineering students that are both simple to investigate and enjoyable to write about.

But before suggesting you some good engineering research topics we want to teach you how to choose engineering topics for your research paper.

The following procedures and advice will assist you in selecting the appropriate option from the list of options:

  • If there isn't a list of suggested subjects, brainstorm ideas to come up with engaging engineering research topics that are pertinent to both your project and the industry as a whole.  
  • Select a topic that you are familiar with because engineering topics can get very difficult; moreover, ensure that the topic you select is one that you can understand.  
  • Ensure there are enough resources available on the topics; while writing an essay on a specialized subject can produce intriguing content, it can become too difficult if there aren't good information sources available.  
  • Be open-minded while making your choice; instead of limiting yourself to topics you are familiar with, consider what will make your essay compelling and leave an impression on the grader.

The application of scientific principles is a  direct concern of engineering . Because of this, this field has several unique  characteristics that you cannot find elsewhere.

These are the engineering subjects that touch on them:

  • Engineering education issues and suggestions for improvement
  • The idea of engineering optimization
  • Engineering, quality assurance
  • Engineering measurement and data analysis specifics
  • Utilizing optical techniques for engineering analysis
  • Corrosion's impact on engineering
  • Nanotechnology applications in contemporary engineering
  • Value engineering and analysis
  • AI and machine learning applications in engineering
  • Engineering modeling techniques
  • Engineering and upkeep
  • Micromanufacturing and engineering
  • Engineering advancements in Western culture
  • Technical economy
  • Engineering's theoretical underpinnings and their connection to science
  • Engineering material specifics
  • The design and administration of complex systems
  • Reliability's significance in engineering
  • Complex nuclear engineering issues
  • The function of statistics and probability in engineering
  • Trends in the creation of agricultural technology equipment.
  • Technology in the food sector conserves energy and resources.
  • Innovations in the food business that produces little or no waste.
  • Food industry engineering in small businesses.
  • The modern technosphere's high level of complexity and its extensive integration into societal life.
  • Apparatus for heating up food bulk.
  • Hardware for filling and presenting finished goods.
  • Automation and mechanization of technological procedures in the food sector.
  • Food industry construction products.
  • Food industry production lines.
  • Approaches to systems engineering.
  • Theories for making an engineering-related career decision.
  • Professional analysis of an engineer's education and activity.
  • Professional competency is formed and developed during training.
  • An engineer's design and engineering tasks.
  • Engineering organization and management tasks.
  • Engineering production and technological activities.
  • Engineers and inventors from the United States and Europe (in the field of food production).
  • Types of programs for engineering education.
  • American and international engineering training systems integration

Top 8 Engineering Branches and Research Topics

  • Engineering ethics-related research paper topics
  • Genetic engineering research paper topics
  • Biomedical engineering research paper topics
  • Electrical engineering research paper topics
  • Security engineering research paper topics
  • Software engineering research paper topics
  • Mechanical engineering research paper topics
  • Civil engineering research paper topics

20 Best Engineering Ethics-related Research Paper Topics

  • A set of moral guidelines that engineers use in their work.
  • How might a moral engineer benefit society more?
  • What moral ideals ought to guide engineering practice and research?
  • What moral considerations ought every engineer to make before beginning their professional development?
  • The conception of a product in accordance with all moral principles.
  • Problems with ethics in the test and design areas.
  • Ethical problems with goods and services. How can they be fixed?
  • Moral dilemmas in leadership and collaboration.
  • Obeying the law and ethical principles.
  • What are the most crucial moral principles for engineers?
  • How can an engineer maintain morality?
  • Phases of a personality's growth professionally in engineering.
  • Engineering ethics: What is it?
  • How may engineering ethics be followed?
  • The primary functions of engineering psychology and ergonomics.
  • Why is a strong work ethic necessary in an organization?
  • How does a strong work ethic help a company avoid many issues?
  • Humanitarian knowledge's integration into engineering methods.
  • How may human knowledge be related in many ways to technical thinking?
  • The fundamentals of engineering ethics.

20 Best Genetic Engineering Research Paper Topics

  • Genetic engineering and morality
  • Genetic engineering's significance in modern agriculture
  • Using genetic engineering to increase the production of biofuel
  • One of the key tools for genetic engineering is CRISPR-Cas.
  • Manufacture of antibiotics with genetic engineering
  • The global politics of genetic engineering
  • Genetic engineering: Myths and actual risks
  • Genetic modification and organic food production
  • Possibilities of combining conventional breeding with genetic engineering
  • Utilizing genetic engineering to combat pollution
  • Gene therapy in genetic engineering.
  • How much of our genetic makeup is under our control, and when do we stop being human?
  • What are the benefits of genetically modified organisms?
  • Describe the advantages and disadvantages of genetic testing.
  • What are epigenetics and its value?
  • How to label food with genetically modified organisms?
  • Use of genetically modified organisms in future farming.
  • How can we involve nursing in genomics?
  • Explain the genetic characteristics in humans having different traits like homosexuality.
  • Food safety and guidelines for using genetically modified food products.

Top 20 Interesting Biomedical Engineering Research Paper Topics

  • Research On Blood Resistivity-Based Blood Glucose Measurement
  • Using Finite Element Analysis, A Hybrid Artificial Hip Joint Was Designed.
  • Design Of A Clinical Engineering Department's Management Program With a Real-Time Planning System for Recognizing Heart Sounds
  • Design of a Programmed Oxygen Delivery System Improvement: Adaptive Techniques for Cardiac Arrhythmia Detection Using Artificial Neural Networks By looking for a suitable activation function short message technique in health level 7, U-Net for MRI brain tumor segmentation (HL7)
  • A Study of the Optical and Thermal Effects of Gold Nanoparticles for Magnetic Resonance Noise Reduction Image
  • Analysis of Heart Rate Variability Using Statistical Techniques
  • Reflexology for the Early Detection of Stomach Pain
  • Central Medical Waste Treatment Facility Developing an Internet-Based Tele-Pediatric System
  • Conducting polymers are used in biomedical engineering.
  • The greatest successes in contemporary biomedical engineering
  • IoT applications for biomedical engineering
  • Engineering in biomedicine and 3D printing
  • Carbon-based nanomaterials' significance for biomedical engineering
  • Tactile sensing techniques and technologies
  • Techniques for repairing damaged nerves with biomedical engineering
  • Biomedical engineering uses X-rays, terahertz imaging, and spectrography for medical imaging.
  • Potential of biological materials in biomedical engineering
  • Piezoelectricity in systems for biomedical engineering
  • Breast cancer can be detected by using artificial neural networks.
  • Medical waste treatment equipment.

Best 30 Electrical Engineering Research Paper Topics

  • Can general relativity affect the techniques used in electrical engineering?
  • Electrical engineering and computer science integration
  • Methods for electronic control in mechanical engineering
  • Electrical engineering ideas of energy and information
  • Engineering in electrical nonlinear optimization
  • Dielectric materials that work best for electrical engineering
  • Electrical engineering's differential progression
  • Electrical circuits and quantum electrodynamics
  • Optimization's advantages in electrical engineering
  • Electrical engineering uses polymers and nanoparticles
  • High-speed, high-power PM machines.
  • Active voltage equalization using li-ion and supercapacitor cells connected in series.
  • Direct drive in-wheel motor design choice.
  • Inertia Motors.
  • Nanoelectronics.
  • Interaction engineering at the atomic level.
  • Using silicon carbide, graphene, and photovoltaics.
  • Ferroelectricity and piezoelectricity.
  • Analyzing behavior using computer modeling.
  • Computational research on novel materials and technologies.
  • Powerful electronic devices and tools.
  • Motors for electric vehicles and their redesign.
  • Networks of energy and the mathematics supporting them.
  • Engineering for electrical systems using computers.
  • Monitoring for smart grids.
  • Composites made of soft magnets.
  • Gearboxes and motors for electric vehicles.
  • Loss detection of grid events in distributed generating systems using pattern recognition
  • Autonomous power system difficulties
  • Hybrid electric aerospace.

Top 30 Security Engineering Research Paper Topics

  • Patterns used in security engineering
  • Cloud security engineering specifics
  • Security design for distributed or complicated systems
  • Engineering for privacy and security
  • Security requirements analysis's significance
  • Engineering security in the automobile sector
  • Modeling and testing for security analysis
  • A financial viewpoint on security engineering
  • Flexible security measures
  • Using attack graph models to improve network security
  • the development of ransomware in the field of cybersecurity.
  • Digital device denial-of-service attacks.
  • the foundation of the global cybersecurity strategy.
  • Network intrusion detection and remedies.
  • How should the government deal with cybersecurity?
  • A firewall's function in securing networks.
  • the most typical closed weaknesses.
  • After a data breach, what to do?
  • Widespread spectrum sharing for communications in public safety.
  • Digital security and downloaded materials
  • How to efficiently use the Internet.
  • Modern virus encryption technology.
  • Investigating the importance of algorithm encryption.
  • What is digital piracy?
  • How to navigate the efficiency of the internet?
  • Where do the vulnerabilities come from in a wireless mobile data exchange?
  • Describe the evolution of Android malware.
  • How to detect mobile phone hacking?
  • Privacy and security issues come in chatbots.
  • Cybersecurity and malware connection.

20 Interesting Software Engineering Research Paper Topics

  • Software engineering economics
  • Experimental software engineering techniques
  • There are significant disparities between software engineering theory and practice.
  • Software engineering role models
  • Software engineering for industry
  • Testing's significance in software engineering
  • Collaborating when developing software
  • Security through software engineering
  • Problems with embedded software engineering
  • Managerial techniques in software engineering
  • Describe the distribution of anti-virus software.
  • Suggest some software tools for qualitative research.
  • Software development by data scientists.
  • What is an agile software development process?
  • The Capabilities of Compiere Software and How Well It Fits Into Different Industries.
  • WBS completion and software project management.
  • International Software Development's Ethical Challenges: User-Useful Software
  • People with visual impairments face difficulties using assistive application software.
  • Getting to the Ideal Process. Application Development
  • Development of Software with IPR Violations.

Top 25 Mechanical Engineering Research Paper Topics

  • Nonlinear oscillations and mechanical engineering
  • Mechanical engineering education through gaming Techniques for dependable and sustainable design
  • How can the design development cycle for mechanical engineering designs be shortened?
  • appropriate material selection's significance in mechanical engineering
  • Mechanical engineering's use of mechatronics and microcontrollers
  • German mechanical engineering is a benchmark worldwide
  • Modern mechanical engineering techniques for modeling and prototyping
  • System design using numerical calculation techniques
  • What effects has the growth of mechanical engineering had on Western culture?
  •  Machine learning approaches for quality assurance in a manufacturing setting
  • Using a variable speed drive with supervisory control and data acquisition to control an induction motor.
  • Biomechanics.
  • Energy and combustion systems.
  • Fluid mechanics and aerodynamics.
  • Fluid-structure interactions, acoustic, and vibrations.
  • Food industry category for quality.
  • Food industry physical and mechanical procedures.
  • The food sector uses thermal procedures.
  • Food industry physical and chemical processes.
  • Processes of mass transfer in the food business.
  • Food industry biochemical and microbiological processes.
  • the significance of technological chemical regulation in the food sector.
  • Process engineers and mechanical engineers have different jobs in the food industry.
  • Tools for preparing raw materials for the main technical procedures.
  • Equipment for processing food bulk mechanically.

Best 20 Civil Engineering Research Paper Topics

  • Civil engineering's effect on how we live our daily lives
  • Neural networks' use in civil engineering
  • Engineering and vegetation
  • Techniques for inspecting civil engineering components
  • various composite materials' micromechanics in civil engineering
  • Uncertainty's relevance in civil engineering modeling
  • IR thermography's application to civil engineering
  • In civil engineering, cutting-edge materials and adhesives are employed.
  • Risk assessment's significance in civil engineering
  • Sustainability and civil engineering
  • Techniques for enhancing plants' ability to withstand water stress.
  • The most pressing issues in civil engineering and solutions.
  • Building quality is in jeopardy due to a lack of certified professionals.
  • Economics in transportation engineering is significant.
  • Protection at building sites.
  • Modern developments in civil engineering.
  • How can the entropy theory be applied in real life?
  • How can I discover a suitable job offer and how much is civil engineering worth?
  • How can issues in seismically active areas be resolved?
  • What opportunities does civil engineering have?

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Latest Computer Science Research Topics for 2024

Home Blog Programming Latest Computer Science Research Topics for 2024

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Everybody sees a dream—aspiring to become a doctor, astronaut, or anything that fits your imagination. If you were someone who had a keen interest in looking for answers and knowing the “why” behind things, you might be a good fit for research. Further, if this interest revolved around computers and tech, you would be an excellent computer researcher!

As a tech enthusiast, you must know how technology is making our life easy and comfortable. With a single click, Google can get you answers to your silliest query or let you know the best restaurants around you. Do you know what generates that answer? Want to learn about the science going on behind these gadgets and the internet?

For this, you will have to do a bit of research. Here we will learn about top computer science thesis topics and computer science thesis ideas.

Why is Research in Computer Science Important?

Computers and technology are becoming an integral part of our lives. We are dependent on them for most of our work. With the changing lifestyle and needs of the people, continuous research in this sector is required to ease human work. However, you need to be a certified researcher to contribute to the field of computers. You can check out Advance Computer Programming certification to learn and advance in the versatile language and get hands-on experience with all the topics of C# application development.

1. Innovation in Technology

Research in computer science contributes to technological advancement and innovations. We end up discovering new things and introducing them to the world. Through research, scientists and engineers can create new hardware, software, and algorithms that improve the functionality, performance, and usability of computers and other digital devices.

2. Problem-Solving Capabilities

From disease outbreaks to climate change, solving complex problems requires the use of advanced computer models and algorithms. Computer science research enables scholars to create methods and tools that can help in resolving these challenging issues in a blink of an eye.

3. Enhancing Human Life

Computer science research has the potential to significantly enhance human life in a variety of ways. For instance, researchers can produce educational software that enhances student learning or new healthcare technology that improves clinical results. If you wish to do Ph.D., these can become interesting computer science research topics for a PhD.

4. Security Assurance

As more sensitive data is being transmitted and kept online, security is our main concern. Computer science research is crucial for creating new security systems and tactics that defend against online threats.

Top Computer Science Research Topics

Before starting with the research, knowing the trendy research paper ideas for computer science exploration is important. It is not so easy to get your hands on the best research topics for computer science; spend some time and read about the following mind-boggling ideas before selecting one.

1. Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues, and Challenges

Welcome to the era of seamless connectivity and unparalleled efficiency! Blockchain and edge computing are two cutting-edge technologies that have the potential to revolutionize numerous sectors. Blockchain is a distributed ledger technology that is decentralized and offers a safe and transparent method of storing and transferring data.

As a young researcher, you can pave the way for a more secure, efficient, and scalable architecture that integrates blockchain and edge computing systems. So, let's roll up our sleeves and get ready to push the boundaries of technology with this exciting innovation!

Blockchain helps to reduce latency and boost speed. Edge computing, on the other hand, entails processing data close to the generation source, such as sensors and IoT devices. Integrating edge computing with blockchain technologies can help to achieve safer, more effective, and scalable architecture.

Moreover, this research title for computer science might open doors of opportunities for you in the financial sector.

2. A Survey on Edge Computing Systems and Tools

With the rise in population, the data is multiplying by manifolds each day. It's high time we find efficient technology to store it. However, more research is required for the same.

Say hello to the future of computing with edge computing! The edge computing system can store vast amounts of data to retrieve in the future. It also provides fast access to information in need. It maintains computing resources from the cloud and data centers while processing.

Edge computing systems bring processing power closer to the data source, resulting in faster and more efficient computing. But what tools are available to help us harness the power of edge computing?

As a part of this research, you will look at the newest edge computing tools and technologies to see how they can improve your computing experience. Here are some of the tools you might get familiar with upon completion of this research:

  • Apache NiFi:  A framework for data processing that enables users to gather, transform, and transfer data from edge devices to cloud computing infrastructure.
  • Microsoft Azure IoT Edge: A platform in the cloud that enables the creation and deployment of cutting-edge intelligent applications.
  • OpenFog Consortium:  An organization that supports the advancement of fog computing technologies and architectures is the OpenFog Consortium.

3. Machine Learning: Algorithms, Real-world Applications, and Research Directions

Machine learning is the superset of Artificial Intelligence; a ground-breaking technology used to train machines to mimic human action and work. ML is used in everything from virtual assistants to self-driving cars and is revolutionizing the way we interact with computers. But what is machine learning exactly, and what are some of its practical uses and future research directions?

To find answers to such questions, it can be a wonderful choice to pick from the pool of various computer science dissertation ideas.

You will discover how computers learn several actions without explicit programming and see how they perform beyond their current capabilities. However, to understand better, having some basic programming knowledge always helps. KnowledgeHut’s Programming course for beginners will help you learn the most in-demand programming languages and technologies with hands-on projects.

During the research, you will work on and study

  • Algorithm: Machine learning includes many algorithms, from decision trees to neural networks.
  • Applications in the Real-world: You can see the usage of ML in many places. It can early detect and diagnose diseases like cancer. It can detect fraud when you are making payments. You can also use it for personalized advertising.
  • Research Trend:  The most recent developments in machine learning research, include explainable AI, reinforcement learning, and federated learning.

While a single research paper is not enough to bring the light on an entire domain as vast as machine learning; it can help you witness how applicable it is in numerous fields, like engineering, data science & analysis, business intelligence, and many more.

Whether you are a data scientist with years of experience or a curious tech enthusiast, machine learning is an intriguing and vital field that's influencing the direction of technology. So why not dig deeper?

4. Evolutionary Algorithms and their Applications to Engineering Problems

Imagine a system that can solve most of your complex queries. Are you interested to know how these systems work? It is because of some algorithms. But what are they, and how do they work? Evolutionary algorithms use genetic operators like mutation and crossover to build new generations of solutions rather than starting from scratch.

This research topic can be a choice of interest for someone who wants to learn more about algorithms and their vitality in engineering.

Evolutionary algorithms are transforming the way we approach engineering challenges by allowing us to explore enormous solution areas and optimize complex systems.

The possibilities are infinite as long as this technology is developed further. Get ready to explore the fascinating world of evolutionary algorithms and their applications in addressing engineering issues.

5. The Role of Big Data Analytics in the Industrial Internet of Things

Datasets can have answers to most of your questions. With good research and approach, analyzing this data can bring magical results. Welcome to the world of data-driven insights! Big Data Analytics is the transformative process of extracting valuable knowledge and patterns from vast and complex datasets, boosting innovation and informed decision-making.

This field allows you to transform the enormous amounts of data produced by IoT devices into insightful knowledge that has the potential to change how large-scale industries work. It's like having a crystal ball that can foretell.

Big data analytics is being utilized to address some of the most critical issues, from supply chain optimization to predictive maintenance. Using it, you can find patterns, spot abnormalities, and make data-driven decisions that increase effectiveness and lower costs for several industrial operations by analyzing data from sensors and other IoT devices.

The area is so vast that you'll need proper research to use and interpret all this information. Choose this as your computer research topic to discover big data analytics' most compelling applications and benefits. You will see that a significant portion of industrial IoT technology demands the study of interconnected systems, and there's nothing more suitable than extensive data analysis.

6. An Efficient Lightweight Integrated Blockchain (ELIB) Model for IoT Security and Privacy

Are you concerned about the security and privacy of your Internet of Things (IoT) devices? As more and more devices become connected, it is more important than ever to protect the security and privacy of data. If you are interested in cyber security and want to find new ways of strengthening it, this is the field for you.

ELIB is a cutting-edge solution that offers private and secure communication between IoT devices by fusing the strength of blockchain with lightweight cryptography. This architecture stores encrypted data on a distributed ledger so only parties with permission can access it.

But why is ELIB so practical and portable? ELIB uses lightweight cryptography to provide quick and effective communication between devices, unlike conventional blockchain models that need complicated and resource-intensive computations.

Due to its increasing vitality, it is gaining popularity as a research topic as someone aware that this framework works and helps reinstate data security is highly demanded in financial and banking.

7. Natural Language Processing Techniques to Reveal Human-Computer Interaction for Development Research Topics

Welcome to the world where machines decode the beauty of the human language. With natural language processing (NLP) techniques, we can analyze the interactions between humans and computers to reveal valuable insights for development research topics. It is also one of the most crucial PhD topics in computer science as NLP-based applications are gaining more and more traction.

Etymologically, natural language processing (NLP) is a potential technique that enables us to examine and comprehend natural language data, such as discussions between people and machines. Insights on user behaviour, preferences, and pain areas can be gleaned from these encounters utilizing NLP approaches.

But which specific areas should we leverage on using NLP methods? This is precisely what you’ll discover while doing this computer science research.

Gear up to learn more about the fascinating field of NLP and how it can change how we design and interact with technology, whether you are a UX designer, a data scientist, or just a curious tech lover and linguist.

8. All One Needs to Know About Fog Computing and Related Edge Computing Paradigms: A Complete Survey

If you are an IoT expert or a keen lover of the Internet of Things, you should leap and move forward to discovering Fog Computing. With the rise of connected devices and the Internet of Things (IoT), traditional cloud computing models are no longer enough. That's where fog computing and related edge computing paradigms come in.

Fog computing is a distributed approach that brings processing and data storage closer to the devices that generate and consume data by extending cloud computing to the network's edge.

As computing technologies are significantly used today, the area has become a hub for researchers to delve deeper into the underlying concepts and devise more and more fog computing frameworks. You can also contribute to and master this architecture by opting for this stand-out topic for your research.

Tips and Tricks to Write Computer Research Topics

Before starting to explore these hot research topics in computer science you may have to know about some tips and tricks that can easily help you.

  • Know your interest.
  • Choose the topic wisely.
  • Make proper research about the demand of the topic.
  • Get proper references.
  • Discuss with experts.

By following these tips and tricks, you can write a compelling and impactful computer research topic that contributes to the field's advancement and addresses important research gaps.

From machine learning and artificial intelligence to blockchain, edge computing, and big data analytics, numerous trending computer research topics exist to explore.

One of the most important trends is using cutting-edge technology to address current issues. For instance, new IIoT security and privacy opportunities are emerging by integrating blockchain and edge computing. Similarly, the application of natural language processing methods is assisting in revealing human-computer interaction and guiding the creation of new technologies.

Another trend is the growing emphasis on sustainability and moral considerations in technological development. Researchers are looking into how computer science might help in innovation.

With the latest developments and leveraging cutting-edge tools and techniques, researchers can make meaningful contributions to the field and help shape the future of technology. Going for Full-stack Developer online training will help you master the latest tools and technologies. 

Frequently Asked Questions (FAQs)

Research in computer science is mainly focused on different niches. It can be theoretical or technical as well. It completely depends upon the candidate and his focused area. They may do research for inventing new algorithms or many more to get advanced responses in that field.  

Yes, moreover it would be a very good opportunity for the candidate. Because computer science students may have a piece of knowledge about the topic previously. They may find Easy thesis topics for computer science to fulfill their research through KnowledgeHut. 

 There are several scopes available for computer science. A candidate can choose different subjects such as AI, database management, software design, graphics, and many more. 

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Ramulu Enugurthi, a distinguished computer science expert with an M.Tech from IIT Madras, brings over 15 years of software development excellence. Their versatile career spans gaming, fintech, e-commerce, fashion commerce, mobility, and edtech, showcasing adaptability in multifaceted domains. Proficient in building distributed and microservices architectures, Ramulu is renowned for tackling modern tech challenges innovatively. Beyond technical prowess, he is a mentor, sharing invaluable insights with the next generation of developers. Ramulu's journey of growth, innovation, and unwavering commitment to excellence continues to inspire aspiring technologists.

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224 Research Topics on Technology & Computer Science

Are you new to the world of technology? Do you need topics related to technology to write about? No worries, Custom-writing.org experts are here to help! In this article, we offer you a multitude of creative and interesting technology topics from various research areas, including information technology and computer science. So, let’s start!

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  • 🔝 Top 10 Topics

👋 Introduction

  • 💾 Top 10 Computer Science Topics

⚙ Artificial Intelligence

💉 biotechnology, 📡 communications and media.

  • 💻Computer Science & Engineering

🔋 Energy & Power Technologies

🍗 food technology, 😷 medical devices & diagnostics, 💊 pharmaceutical technologies.

  • 🚈 Transportation

✋ Conclusion

🔍 references, 🔝 top 10 technology topics.

  • The difference between VR and AR
  • Is genetic engineering ethical?
  • Can digital books replace print ones?
  • The impact of virtual reality on education
  • 5 major fields of robotics
  • The risks and dangers of biometrics
  • Nanotechnology in medicine
  • Digital technology’s impact on globalization
  • Is proprietary software less secure than open-source?
  • The difference between deep learning and machine learning

Is it a good thing that technologies and computer science are developing so fast? No one knows for sure. There are too many different opinions, and some of them are quite radical! However, we know that technologies have changed our world once and forever. Computer science affects every single area of people’s lives.

Arthur clarke quote.

Just think about Netflix . Can you imagine that 24 years ago it didn’t exist? How did people live without it? Well, in 2024, the entertainment field has gone so far that you can travel anywhere while sitting in your room. All you would have to do is just order a VR (virtual reality) headset. Moreover, personal computers give an unlimited flow of information, which has changed the entire education system.

Every day, technologies become smarter and smaller. A smartphone in your pocket may be as powerful as your laptop. No doubt, the development of computer science builds our future. It is hard to count how many research areas in technologies and computer science are there. But it is not hard to name the most important of them.

Artificial intelligence tops the charts, of course. However, engineering and biotechnology are not far behind. Communications and media are developing super fast as well. The research is also done in areas that make our lives better and more comfortable. The list of them includes transport, food and energy, medical, and pharmaceutical areas.

So check out our list of 204 most relevant computer science research topics below. Maybe one of them will inspire you to do revolutionary research!

Just in 1 hour! We will write you a plagiarism-free paper in hardly more than 1 hour

💾 Top 10 Computer Science Research Topics

💡 technologies & computer science: research ideas.

Many people probably picture robots from the movie “I, Robot” when they hear about artificial intelligence. However, it is far from the truth.

AI is meant to be as close to a rational way of thinking as possible. It uses binary logic (just like computers) to help solve problems in many areas. Applied AI is only aimed at one task. A generalized AI branch is looking into a human-like machine that can learn to do anything.

Robotic hand pressing keyboard laptop.

Applied AI already helps researchers in quantum physics and medicine. You deal with AI every day when online shops suggest some items based on your previous purchases. Siri and self-driving cars are also examples of applied AI.

Generalized AI is supposed to be a copy of multitasking human intelligence. However, it is still in the stage of development. Computer technology has yet to reach the level necessary for its creation.

One of the latest trends in this area is improving healthcare management. It is done through the digitalization of all the information in hospitals and even helping diagnose the patients.

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Also, privacy issues and facial recognition technologies are being researched. For example, some governments collect biometric data to reduce and even predict crime.

Research Topics on Artificial Intelligence Technology

Since AI development is exceptionally relevant nowadays, it would be smart to invest your time and effort into researching it. Here are some ideas on artificial intelligence research topics that you can look into:

  • What areas of life machine learning are the most influential?
  • How to choose the right algorithm for machine learning ?
  • Supervised vs. unsupervised machine learning : compare & contrast
  • Reinforcement machine learning algorithms
  • Deep learning as a subset of machine learning
  • Deep learning & artificial neural networks
  • How do artificial neural networks work?
  • A comparison of model-free & model-based reinforcement learning algorithms
  • Reinforcement learning: single vs. multi-agent
  • How do social robots interact with humans?
  • Robotics in NASA
  • Natural language processing: chatbots
  • How does natural language processing produce natural language?
  • Natural language processing vs. machine learning
  • Artificial intelligence in computer vision
  • Computer vision application: autonomous vehicles
  • Recommender systems’ approaches
  • Recommender systems: content-based recommendation vs. collaborative filtering
  • Internet of things & artificial intelligence: the interconnection
  • How much data do the Internet of things devices generate?

Biotechnology uses living organisms to modify different products. Even the simple thing as baking bread is a process of biotechnology. However, nowadays, this area went as far as changing the organisms’ DNA. Genetics and biochemistry are also a part of the biotechnology area.

The development of this area allows people to cure diseases with the help of new medicines. In agriculture, more and more research is done on biological treatment and modifying plants. Biotechnology is even involved in the production of our groceries, household chemicals, and textiles.

Trends in biotechnology.

There are many exciting trends in biotechnology now that carry the potential of changing our world! For example, scientists are working on creating personalized drugs. This is feasible once they apply computer science to analyze people’s DNA.

Get an originally-written paper according to your instructions!

Also, thanks to using new technologies, doctors can collect exact data and provide the patients with correct diagnosis and treatment. Now, you don’t even need to leave your place to get a doctor’s check-up. Just use telehealth!

Data management is developing in the biotechnology area as well. Thanks to that, doctors and scientists can store and access a tremendous amount of information.

The most exciting is the fact that new technology enables specialists to assess genetic information to treat and prevent illnesses! It may solve the problem of some diseases that were considered untreatable before.

Research Topics on Biotechnology

You can use the following examples of research questions on biotechnology for presentation or even a PhD paper! Here is a wide range of topics on biotechnology and its relation to agriculture, nanotechnology, and many more:

  • Self-sufficient protein supply and biotechnology in farming
  • Evaporation vs. evapotranspiration
  • DNA cloning and a southern blot
  • Pharmacogenetics & personalized drugs
  • Is cloning “playing God”?
  • Pharmacogenetics : cancer medicines
  • How much can we control our genetics, at what point do we cease to be human?
  • Bio ethics and stem cell research
  • Genetic engineering: gene therapy
  • The potential benefits of genetic engineering
  • Genetic engineering: dangers and opportunities
  • Mycobacterium tuberculosis : counting the proteins
  • Plant genetic enhancement: developing resistance to scarcity
  • Y-chromosome genotyping: the case of South Africa
  • Agricultural biotechnology: GMO crops
  • How are new vaccines developed?
  • Nanotechnology in treating HIV
  • Allergenic potential & biotechnology
  • Whole-genome sequencing in biotechnology
  • Genes in heavy metal tolerance: an overview
  • Food biotechnology & food-borne illnesses
  • How to eliminate heat-resistant microorganisms with ultraviolet?
  • High-throughput screening & biotechnology
  • How do new food processing technologies affect bacteria related to Aspalathus Linearis?
  • Is sweet sorghum suitable for the production of bioethanol in Africa?
  • How can pesticides help to diagnose cancer?
  • How is embelin used to prevent cancer?

One of the first areas that technologies affected was communications and media. People from the last century couldn’t have imagined how easy it would be to get connected with anyone! Internet connection starts appearing even in the most remote places.

Nowadays, media is used not only for social interaction but for business development and educational purposes as well. You can now start an entirely online business or use special tools to promote the existing one. Also, many leading universities offer online degrees.

In communications and media, AI has been playing the role of enhancement recently. The technology helps create personalized content for always demanding consumers.

Developing media also create numerous job opportunities. For instance, recently, an influencer has become a trending career. Influencers always use the most relevant communication tools available. At the moment, live videos and podcasting are on the top.

Now, you just need to reach your smartphone to access all the opportunities mentioned above! You can apply for a college, find a job, or reach out to all your followers online. It is hard to imagine how far communication and media can go…

Communications and Media Technology Research Topics

There are quite a few simple yet exciting ideas for media and communications technology research topics. Hopefully, you will find THE ONE amongst these Information and Communications Technology (ICT) research proposal topics:

  • New media: the importance of ethics in the process of communication
  • The development of computer-based communication over the last decade
  • How have social media changed communication?
  • Media during the disasters : increasing panic or helping reduce it?
  • Authorities’ media representations in different countries: compare & contrast
  • Do people start preferring newspapers to new media again?
  • How has the Internet changed media?
  • Communication networks
  • The impact of social media on super bowl ads
  • Communications: technology and personal contact
  • New content marketing ideas
  • Media exposure and its influence on adolescents
  • The impact of mass media on personal socialization
  • Internet and interactive media as an advertising tool
  • Music marketing in a digital world
  • How do people use hype in the media?
  • Psychology of videoblog communication
  • Media & the freedom of speech
  • Is it possible to build trustful relationships in virtual communication?
  • How to maintain privacy in social media ?
  • Communication technologies & cyberbullying
  • How has the interpersonal communication changed with the invention of computers?
  • The future of the communication technologies
  • Yellow journalism in new media
  • How enterprises use ICT to get a competitive advantage?
  • Healthcare and ICT
  • Can we live without mass media ?
  • Mass media and morality in the 21st century

💻 Computer Science & Engineering

If you have ever wondered how computers work, you better ask a professional in computer science and engineering. This major combines two different, yet interconnected, worlds of machines.

Computer science takes care of the computer’s brain. It usually includes areas of study, such as programming languages and algorithms. Scientists also recognize three paradigms in terms of the computer science field.

For the rationalist paradigm, computer science is a part of math. The technocratic paradigm is focused on software engineering, while the scientific one is all about natural sciences. Interestingly enough, the latter can also be found in the area of artificial intelligence!

Stephen Hawking quote.

On the other hand, computer engineering maintains a computer’s body – hardware and software. It relies quite heavily on electrical engineering. And only the combination of computer science and engineering gives a full understanding of the machine.

If talking about trends and innovations, artificial intelligence development is probably the main one in the area of computer science technology. Big data is the field that has been extremely popular in recent years.

Cybersecurity is and will be one of the leading research fields in our Information Age. The latest trend in computer science and engineering is also virtual reality.

Computer Science Research Topics

If you want to find a good idea for your thesis or you are just preparing for a speech, check out this list of research topics in computer science and engineering:

  • How are virtual reality & human perception connected?
  • The future of computer-assisted education
  • Computer science & high-dimensional data modeling
  • Computer science: imperative vs. declarative languages
  • The use of blockchain and AI for algorithmic regulations
  • Banking industry & blockchain technology
  • How does the machine architecture affect the efficiency of code?
  • Languages for parallel computing
  • How is mesh generation used for computational domains?
  • Ways of persistent data structure optimization
  • Sensor networks vs. cyber-physical system
  • The development of computer graphics: non-photorealistic rendering case
  • The development of the systems programming languages
  • Game theory & network economics
  • How can computational thinking affect science?
  • Theoretical computer science in functional analysis
  • The most efficient cryptographic protocols
  • Software security types: an overview
  • Is it possible to eliminate phishing?
  • Floating point & programming language

Without energy, no technological progress is possible. Scientists are continually working on improving energy and power technologies. Recently, efforts have been aimed at three main areas.

Developing new batteries and fuel types helps create less expensive ways of storing energy. For example, fuel cells can be used for passenger buses. They need to be connected to a source of fuel to work. However, it guarantees the constant production of electricity as long as they have fuel.

One of the potential trends of the next years is hydrogen energy storage. This method is still in the stage of development. It would allow the use of hydrogen instead of electricity.

Trends in energy technologies.

A smart grid is another area that uses information technology for the most efficient use of energy. For instance, the first-generation smart grid tracks the movement of electric energy on the go and sends the information back. It is a great way to correct the consumption of energy in real-time. More development is also done on the issue of electricity generation. It aims at technologies that can produce power from the sources that haven’t been used. The trends in this area include second-generation biofuels and photovoltaic glass.

Energy Technologies Research Topics

Since humanity cannot be using fossil fuels forever, the research in the area of energy can be extremely fruitful. The following list of energy and power technology research paper topics can give you an idea of where to dig:

  • How can fuel cells be used for stationary power generation?
  • Lithium-ion vs. lithium-air batteries: energy density
  • Are lithium-air batteries better than gasoline ?
  • Renewable energy usage: advantages and disadvantages
  • The nuclear power usage in the UAE
  • India’s solar installations
  • Gas price increasing and alternative energy sources
  • How can methods of energy transformation be applied with hydrogen energy?
  • Is hydrogen energy our future?
  • Thermal storage & AC systems
  • How to load balance using smart grid?
  • Distributed energy generation to optimize power waste
  • Is the smart energy network a solution to climate change ?
  • The future of the tidal power
  • The possibility of 3D printing of micro stirling engines
  • How can robots be used to adjust solar panels to weather?
  • Advanced biofuels & algae
  • Can photovoltaic glass be fully transparent?
  • Third-generation biofuels : algae vs. crop-based
  • Space-based solar power: myth or reality of the future?
  • Can smaller nuclear reactors be more efficient?
  • Inertial confinement fusion & creal energy
  • Renewable energy technologies: an overview
  • How can thorium change the nuclear power field?

The way we get our food has changed drastically with the technological development. Manufacturers look for ways to feed 7.5 billion people more efficiently. And the demand is growing every year. Now technology is not only used for packaging, but for producing and processing food as well.

Introducing robots into the process of manufacturing brings multiple benefits to the producer. Not only do they make it more cost-efficient, but they also reduce safety problems.

Surprisingly enough, you can print food on the 3D printer now! This technology is applied to produce soft food for people who can’t chew. NASA decided to use it for fun as well and printed a pizza!

Drones now help farmers to keep an eye on crops from above. It helps them see the full picture and analyze the current state of the fields. For example, a drone can spot a starting disease and save the crop.

The newest eco trends push companies to become more environmentally aware. They use technologies to create safer packaging. The issue of food waste is also getting more and more relevant. Consumers want to know that nothing is wasted. Thanks to the new technologies, the excess food is now used more wisely.

Food Technology Research Topics

If you are looking for qualitative research topics about technology in the food industry, here is a list of ideas you don’t want to miss:

  • What machines are used in the food industry?
  • How do robots improve safety in butchery?
  • Food industry & 3D printing
  • 3D printed food – a solution to help people with swallowing disorder?
  • Drones & precision agriculture
  • How is robotics used to create eco-friendly food packaging ?
  • Is micro packaging our future?
  • The development of edible cling film

Healthy food plastic bags.

  • Technology & food waste : what are the solutions?
  • Additives and preservatives & human gut microbiome
  • The effect of citric acid on the orange juice: physicochemical level
  • Vegetable oils in mass production: compare & contrast
  • Time-temperature indicators & food industry
  • Conventional vs. hydroponic farming
  • Food safety: a policy issue in agriculture today
  • How to improve the detection of parasites in food?
  • What are the newest technologies in the baking industry?
  • Eliminating byproducts in edible oils production
  • Cold plasma & biofilms
  • How good are the antioxidant peptides derived from plants?
  • Electronic nose in food industry and agriculture
  • The harm of polyphenols in food

Why does the life expectancy of people get higher and higher every year? One of the main aspects of it is the promotion of innovation in the medical area. For example, the development of equipment helps medical professionals to save many lives.

Thanks to information technology, the work is much more structured now in the medical area. The hospitals use tablets and the method of electronic medical records. It helps them to access and share the data more efficiently.

If talking about medical devices, emerging technologies save more lives than ever! For instance, operations done by robots are getting more and more popular. Don’t worry! Doctors are still in charge; they just control the robots from the other room. It allows operations to be less invasive and precise.

Moreover, science not only helps treat diseases but also prevent them! The medical research aims for the development of vaccines against deadly illnesses like malaria.

Some of the projects even sound more like crazy ideas from the future. But it is all happening right now! Scientists are working on the creation of artificial organs and the best robotic prosthetics.

All the technologies mentioned above are critical for successful healthcare management.

Medical Technology Research Topics

If you feel like saving lives is the purpose of your life, then technological research topics in the medical area are for you! These topics would also suit for your research paper:

  • How effective are robotic surgeries ?
  • Smart inhalers as the new solution for asthma treatment
  • Genetic counseling – a new way of preventing diseases?
  • The benefits of the electronic medical records
  • Erythrocytapheresis to treat sickle cell disease
  • Defibrillator & cardiac resynchronization therapy
  • Why do drug-eluting stents fail?
  • Dissolvable brain sensors: an overview
  • 3D printing for medical purposes
  • How soon will we be able to create artificial organs?
  • Wearable technologies & healthcare
  • Precision medicine based on genetics
  • Virtual reality devices for educational purposes in medical schools
  • The development of telemedicine
  • Clustered regularly interspaced short palindromic repeats as the way of treating diseases
  • Nanotechnology & cancer treatment
  • How safe is genome editing?
  • The trends in electronic diagnostic tools development
  • The future of the brain-machine interface
  • How does wireless communication help medical professionals in hospitals?

In the past years, technologies have been drastically changing the pharmaceutical industry. Now, a lot of processes are optimized with the help of information technology. The ways of prescribing and distributing medications are much more efficient today. Moreover, the production of medicines itself has changed.

For instance, electronic prior authorization is now applied by more than half of the pharmacies. It makes the process of acquiring prior authorization much faster and easier.

The high price of medicines is the number one reason why patients stop using prescriptions. Real-time pharmacy benefit may be the solution! It is a system that gives another perspective for the prescribers. While working with individual patients, they will be able to consider multiple factors with the help of data provided.

The pharmaceutical industry also adopts some new technologies to compete on the international level. They apply advanced data analytics to optimize their work.

Companies try to reduce the cost and boost the effectiveness of the medicines. That is why they look into technologies that help avoid failures in the final clinical trials.

The constant research in the area of pharma is paying off. New specialty drugs and therapies arrive to treat chronic diseases. However, there are still enough opportunities for development.

Pharmaceutical Technologies Research Topics

Following the latest trends in the pharmaceutical area, this list offers a wide range of creative research topics on pharmaceutical technologies:

  • Electronic prior authorization as a pharmacy technological trend
  • The effectiveness of medication therapy management
  • Medication therapy management & health information exchanges
  • Electronic prescribing of controlled substances as a solution for drug abuse issue
  • Do prescription drug monitoring programs really work?
  • How can pharmacists help with meaningful use?
  • NCPDP script standard for specialty pharmacies
  • Pharmaceutical technologies & specialty medications
  • What is the patient’s interest in the real-time pharmacy?
  • The development of the vaccines for AIDS
  • Phenotypic screening in pharmaceutical researches
  • How does cloud ERP help pharmaceutical companies with analytics?
  • Data security & pharmaceutical technologies
  • An overview of the DNA-encoded library technology
  • Pharmaceutical technologies: antibiotics vs. superbugs
  • Personalized medicine: body-on-a-chip approach
  • The future of cannabidiol medication in pain management
  • How is cloud technology beneficial for small pharmaceutical companies?
  • A new perspective on treatment: medicines from plants
  • Anticancer nanomedicine: a pharmaceutical hope

🚈 Transportation Technologies

We used to be focused on making transportation more convenient. However, nowadays, the focus is slowly switching to ecological issues.

It doesn’t mean that vehicles can’t be comfortable at the same time. That is why the development of electric and self-driving cars is on the peak.

Transportation technologies also address the issues of safety and traffic jams. There are quite many solutions suggested. However, it would be hard for big cities to switch to the other systems fast.

One of the solutions is using shared vehicle phone applications. It allows reducing the number of private cars on the roads. On the other hand, if more people start preferring private vehicles, it may cause even more traffic issues.

Transportation technologies.

The most innovative cities even start looking for more eco-friendly solutions for public transport. Buses are being replaced by electric ones. At the same time, the latest trend is using private electric vehicles such as scooters and bikes.

So that people use public transport more, it should be more accessible and comfortable. That is why the payment systems are also being updated. Now, all you would need is to download an app and buy a ticket in one click!

Transportation Technologies Research Topics

Here you can find the best information technology research topics related to transportation technologies:

  • How safe are self-driving cars ?
  • Electric vs. hybrid cars : compare & contrast
  • How to save your smart car from being hijacked?
  • How do next-generation GPS devices adjust the route for traffic?
  • Transportation technologies: personal transportation pods
  • High-speed rail networks in Japan
  • Cell phones during driving: threats and solutions
  • Transportation: electric cars effects
  • Teleportation: physics of the impossible
  • How soon we will see Elon Musk’s Hyperloop?
  • Gyroscopes as a solution for convenient public transportation
  • Electric trucks: the effect on logistics
  • Why were electric scooters banned in some cities in 2018?
  • Carbon fiber as an optional material for unit load devices
  • What are the benefits of the advanced transportation management systems?
  • How to make solar roadways more cost-effective?
  • How is blockchain applied in the transportation industry
  • Transportation technologies: an overview of the freight check-in
  • How do delivery companies use artificial intelligence?
  • Water-fueled cars: the technology of future or fantasy?
  • What can monitoring systems be used to manage curb space?
  • Inclusivity and accessibility in public transport: an overview
  • The development of the mobility-as-a-service

All in all, this article is a compilation of the 204 most interesting research topics on technology and computer science. It is a perfect source of inspiration for anyone who is interested in doing research in this area.

We have divided the topics by specific areas, which makes it easier for you to find your favorite one. There are 20 topics in each category, along with a short explanation of the most recent trends in the area.

You can choose one topic from artificial intelligence research topics and start working on it right away! There is also a wide selection of questions on biotechnology and engineering that are waiting to be answered.

Since media and communications are present in our everyday life and develop very fast, you should look into this area. But if you want to make a real change, you can’t miss on researching medical and pharmaceutical, food and energy, and transportation areas.

Of course, you are welcome to customize the topic you choose! The more creativity, the better! Maybe your research has the power to change something! Good luck, and have fun!

This might be interesting for you:

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  • Databases for Research & Education: Gale
  • The Complete Beginners’ Guide to Artificial Intelligence: Forbes
  • 8 Best Topics for Research and Thesis in Artificial Intelligence: GeeksForGeeks
  • Technology Is Changing Transportation, and Cities Should Adapt: Harvard Business Review
  • Five Technology Trends: Changing Pharmacy Practice Today and Tomorrow (Pharmacy Times)
  • Recent papers in Technology: Academia
  • Research: Michigan Tech
  • What 126 studies say about education technology: MIT News
  • Top 5 Topics in Information Technology: King University Online
  • Research in Technology Education-Some Areas of Need: Virginia Tech
  • Undergraduate Research Topics: Department of Computer Science, Princeton University
  • Student topics: QUT Science and Engineering
  • Developing research questions: Monash University
  • Biotechnology: Definition, Examples, & Applications (Britannica)
  • Medical Laboratory Science Student Research Projects: Rush University
  • Clinical Laboratory Science: Choosing a Research Topic (Library Resource Guide for FGCU Clinical Lab Science students)
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Thanks so much for this! Glad I popped by and I sure did find what I was looking for.

Custom Writing

Thanks for your kind words, Sanny! We look forward to seeing you again!

Thank you very for the best topics of research across all science and art projects. The best thing that I am interested to is computer forensics and security specifically for IT students.

Thanks for stopping by!

Hello, glad to hear from you!

Computer science focuses on creating programs and applications, while information technology focuses on using computer systems and networks. What computer science jobs are there. It includes software developers, web developers, software engineers, and data scientists.

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110 Engineering Research Topics For Engineering Students!

engineering topics

Getting engineering topics for research or presentation is not an easy task. The reason is that the field of engineering is vast. Engineers seek to use scientific principles in the design and building of machines, structures, bridges, tunnels, etc.

Engineering as a discipline has a broad range of specialized fields such as chemical engineering, civil engineering, biomedical engineering, computer engineering, mechanical engineering, software engineering, and lots more! In all, engineering seeks to apply mathematics or science to solving problems.

110 Engineering Topic Ideas in Different Areas

Genetic engineering topics, mechanical engineering research topics, electrical engineering research topics, software engineering research topics, computer engineering research topics, biomedical engineering research topics, civil engineering topics, chemical engineering research topics, controversial engineering topics, aerospace engineering topics, industrial engineering topics, environmental engineering topics for research.

We understand how difficult and tiring it could be to get engineering research topics; hence this article contains a total of 110 interesting engineering topics covering all aspects of engineering. Ready to explore? Let’s begin right away!

Genetic engineering is the direct manipulation of the gene of an organism using biotechnology. Many controversies are surrounding this engineering field because of the fantastic potential feats it could achieve. Here are some genetic engineering topics that encompass essential areas of this field.

  • Can the human personality be altered through genetic engineering?
  • Genetic engineering: hope for children with intellectual disabilities?
  • Genetic engineering: the problems and perspectives.
  • Genetic engineering and the possibility of human cloning.
  • Genetic Engineering
  • The side effects of altering human personality
  • Immortalizing humans through genetic engineering
  • Addressing human deficiencies through genetic engineering

Mechanical engineering deals with the design and manufacture of physical or automated systems. These systems include power and energy systems, engines, compressors, kinematic chains, robotics, etc. Here are some impressive mechanical engineering topics that double as mechanical engineering thesis topics too.

  • A study of the compressed air technology used in cars.
  • The design of a motorized automatic wheelchair that can serve as a bed.
  • The why and how of designing stronger and lighter automobiles.
  • The design of an electronic-assisted hydraulic braking system.
  • Basics of Electronics Engineering
  • AC and DC motors and operations
  • Design and implementation of wind energy
  • Power lines and electricity distribution
  • Electromagnetic field and its applications
  • Generators and electric motors

Electrical engineering is a trendy and well-sought field that deals with the design and manufacture of different electrical and electronic systems. Electrical engineering encompasses power and electronics. The basic principle of digital technology and electricity are all given birth to in this field. From your lighting to computers and phones, everything runs based on electricity. Although finding topics in electrical engineering could be difficult, we have carefully selected four electrical engineering topics to give you a great head start in your research! or write research paper for me

  • A study on how temperature affects photovoltaic energy conversion.
  • The impact of solar charging stations on the power system.
  • Direct current power transmission and multiphase power transmission
  • Analysis of the power quality of the micro grid-connected power grid.
  • Solar power and inverters
  • Alternator and electric magnetic induction
  • AC to DC converters
  • Operational amplifiers and their circuits.

Software engineering deals with the application of engineering approaches systematically to develop software. This discipline overlaps with computer science and management science and is also a part of overall systems engineering. Here are some software engineering topics for your research!

  • The borderline between hardware and software in cloud computing.
  • Essential computer languages of the future.
  • Latest tendencies in augmented reality and virtual reality.
  • How algorithms improve test automation.
  • Essentials for designing a functional software
  • Software designing and cyber security
  • 5 computer languages that will stand the test of time.
  • Getting software design right
  • Effects of malware on software operation.

Computer engineering integrates essential knowledge from the subfields of computer science, software engineering, and electronic engineering to develop computer hardware and software. Computer engineering applies various concepts to build complex structural models. Besides, we have completed researches in the information technology field and prepare great  it thesis topics for you. Here are some computer engineering topics to help you with your research.

  • Biotechnology, medicine, and computer engineering.
  • Programs for computer-aided design (cad) of drug models.
  • More effective coding and information protection for multinational companies.
  • Why we will need greater ram in modern-day computers.
  • Analysis and computer-aided structure design
  • Pre-stressed concrete structures and variations
  • General computer analysis of structures
  • Machine foundation and structural design
  • Storage and industrial structures.

Biomedical engineering applies principles and design concepts from engineering to medicine and biology for diagnostic or therapeutic healthcare purposes. Here are some suggested biomedical engineering topics to carry out research on!

  • A study on how robots are changing health care.
  • Can human organs be replaced with implantable biomedical devices?
  • The advancement of brain implants.
  • The advancement of cell and tissue engineering for organ replacement.
  • Is planting human organs in machines safe?
  • Is it possible to plant biomedical devices insensitive to human organs?
  • How can biomedicine enhance the functioning of the human brain?
  • The pros and cons of organ replacement.

Civil engineering deals with the construction, design, and implementation of these designs into the physical space. It is also responsible for the preservation and maintenance of these constructions. Civil engineering spans projects like roads, buildings, bridges, airports, and sewage construction. Here are some civil engineering topics for your research!

  • Designing buildings and structures that withstand the impact of seismic waves.
  • Active noise control for buildings in very noisy places.
  • The intricacies of designing a blast-resistant building.
  • A compatible study of the effect of replacing cement with silica fume and fly ash.
  • Comparative study on fiber-reinforced concrete and other methods of concrete reinforcement.
  • Advanced construction techniques
  • Concrete repair and Structural Strengthening
  • Advanced earthquake resistant techniques
  • Hazardous waste management
  • Carbon fiber use in construction
  • Structural dynamics and seismic site characterization
  • Urban construction and design techniques

Chemical engineering transverses the operation and study of chemical compounds and their production. It also deals with the economic methods involved in converting raw chemicals to usable finished compounds. Chemical engineering applies subjects from various fields such as physics, chemistry, biology, and mathematics. It utilizes technology to carry out large-scale chemical processes. Here are some chemical engineering topics for you!

  • Capable wastewater treatment processes and technology.
  • Enhanced oil recovery with the aid of microorganisms.
  • Designing nanoparticle drug delivery systems for cancer chemotherapy.
  • Efficient extraction of hydrogen from the biomass.
  • Separation processes and thermodynamics
  • Heat, mass, and temperature
  • Industrial chemistry
  • Water splitting for hydrogen production
  • Mining and minerals
  • Hydrocarbon processes and compounds
  • Microfluidics and Nanofluidics.

Not everyone agrees on the same thing. Here are some engineering ethics topics and controversial engineering topics you can explore.

  • Are organic foods better than genetically modified foods?
  • Should genetically modified foods be used to solve hunger crises?
  • Self-driving cars: pros and cons.
  • Is mechanical reproduction ethical?
  • If robots and computers take over tasks, what will humans do?
  • Are electric cars really worth it?
  • Should human genetics be altered?
  • Will artificial intelligence replace humans in reality?

Aerospace engineering deals with the design, formation, and maintenance of aircraft, spacecraft, etc. It studies flight safety, fuel consumption, etc. Here are some aerospace engineering topics for you.

  • How the design of planes can help them weather the storms more efficiently.
  • Current techniques on flight plan optimization.
  • Methods of optimizing commercial aircraft trajectory
  • Application of artificial intelligence to capacity-demand.
  • Desalination of water
  • Designing safe planes
  • Mapping a new airline route
  • Understanding the structural design of planes.

Petroleum engineering encompasses everything hydrocarbon. It is the engineering field related to the activities, methods, processes, and adoptions taken to manufacture hydrocarbons. Hydrocarbon examples include natural gas and crude oil which can be processed to more refined forms to give new petrochemical products.

  • The effect of 3d printing on manufacturing processes.
  • How to make designs that fit resources and budget constraints.
  • The simulation and practice of emergency evacuation.
  • Workers ergonomics in industrial design.
  • Heat transfer process and material science
  • Drilling engineering and well formation
  • Material and energy flow computing
  • Well log analysis and testing
  • Natural gas research and industrial management

Manufacturing engineering is integral for the creation of materials and various tools. It has to do with the design, implementation, construction, and development of all the processes involved in product and material manufacture. Some useful production engineering topics are:

  • Harnessing freshwater as a source of energy
  • The design and development of carbon index measurement systems.
  • Process improvement techniques for the identification and removal of waste in industries.
  • An extensive study of biomedical waste management.
  • Optimization of transportation cost in raw material management
  • Improvement of facility layout using systematic planning
  • Facilities planning and design
  • Functional analysis and material modeling
  • Product design and marketing
  • Principles of metal formation and design.

So here we are! 110 engineering research paper topics in all major fields of engineering! Choose the ones you like best and feel free to contact our thesis writers for help. It’s time to save humanity!

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Free Computer Engineering Project Topics

Discover a wide range of Free Computer Engineering Project topics for your final year research paper. Choose from our extensive list of Computer Engineering project topics and download the materials instantly.

We offer prompt delivery of reliable and comprehensive Computer Engineering research materials listed on our website. Find complete and ready-made Computer Engineering project work for your academic needs.

Explore fresh Computer Engineering Project ideas or conduct a search for related projects using our convenient search box. Our project materials collection caters to students pursuing ND, HND, BSc, MSc, PGD, and Phd degrees. Access our list of Computer Engineering Project topics in PDF and Word formats for easy reference.

1 .  Design And Implementation Of A Digital Library System

2 .  design and construction of a microcontroller based electric cooker with time temperature control and display, 3 .  design and implementation of an online death and birth registration system, 4 .  design and implement a computerized drug information management system drug procurement and distribution tracking system, 5 .  design and implementation of users application software for estate management practice, 6 .  biometric authentication of an automated teller machine using finger print and password, 7 .  design and implementation of an electronic patient management system, 8 .  design and implementation of an online library system, 9 .  design and implementation of an online prison management system, 10 .  design and implementation of an online vehicle and plate number registration and identification system in nigeria, 11 .  design and implementation of campus online help desk information system, 12 .  design and implementation of data mining for medical record system., 13 .  design and implementation of e-learning system, 14 .  design and implementation of lighting switching control system (interface), 15 .  design and implementation of network activity monitoring sysytem, 16 .  design and implementation of network security, 17 .  design and implementation of nysc orientation camp information system, 18 .  design and implementation of online banking system, 19 .  design and implementation of student evaluation program, 20 .  drug procurement and institution tracking system.

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150+ Best Engineering Research Topics for Students To Consider

Table of Contents

Engineering is a wide field of study that is divided into various branches such as Civil, Electrical, Mechanical, Electronics, Chemical, etc. Basically, each branch has thousands of engineering research topics to focus on. Hence, when you are asked to prepare an engineering research paper or dissertation for your final year assignments, you might experience difficulties with identifying a perfect topic. But hereafter, you need not worry about topic selection because to make the topic selection process easier for you, here we have suggested some tips for choosing a good engineering research topic. Additionally, we have also shared a list of the best 150+ engineering research paper topics on various specializations. Continue reading this blog to get exclusive ideas for engineering research paper writing.

Engineering Research Paper Topic Selection Tips

When it comes to research in the field of engineering, identifying the best engineering research topic is the first step. So, during that process, in order to identify the right topic, consider the following tips.

  • Choose a topic from the research area matching your interest.
  • Give preference to a topic that has a large scope to conduct research activities.
  • Pick a topic that has several reference materials and evidence supporting your analysis.
  • Avoid choosing an already or frequently discussed topic. If the topic is popular, discuss it from a different perspective.
  • Never choose a larger topic that is tough to complete before the deadline.
  • Finalize the topic only if it satisfies your academic requirements.

Engineering Research Topics

List of the Best Engineering Research Topics

Are you searching for the top engineering project ideas? Would you have to complete your academic paper on the best engineering research topic? If yes, then take a look below. Here, we have suggested a few interesting engineering topics in various disciplines that you can consider for your research or dissertation.

Top Engineering Research Topics

Mechanical Engineering Research Topics

  • How does the study of robotics benefit from a mechanical engineering background?
  • How can a new composite substitute reduce costs in large heat exchangers?
  • Which will become the predominant energy technology this century?
  • Why structural analysis is considered the foundation of mechanical engineering?
  • Why is cast iron used in the engines of large ships?
  • What is the finite element approach and why is it essential?
  • Why is the flow of fluids important in mechanical engineering?
  • What impact does mechanical engineering have in the medical field?
  • How do sports incorporate mechanical engineering theories?
  • What is the process of thermal heat transfer in machines?
  • How can solar panels reduce energy costs in developing countries?
  • In what ways is mechanical engineering at the forefront of the field?
  • How do various elements interact differently with energy?
  • How can companies improve manufacturing through new mechanical theories?

Additional Research Paper Topics on Mechanical Engineering

  • Power generation: Extremely low emission technology.
  •   Rail and wheel wear during the presence of third-body materials.
  •  Studying the impact of athletic shoe properties on running performance and injuries
  • Evaluating teeth decay using patient-specific tools
  •   Nanotechnology.
  • Describe the newly developed methods and applications in Vibration Systems
  • Perspective or general Commentaries on the methods and protocols relevant to the research relating to Vibration Systems
  • Software-related technology for Visibility of end-to-end operations for employee and management efficiencies
  • What should be the best strategies to apply in the planning for consumer demand and responsiveness using data analytics
  • Analysis of the monitoring of manufacturing processes using IOT/AI
  • Critical analysis of the advancing digital manufacturing with artificial intelligence (AI) and machine learning (ML) Data Analytics
  • Pyrolysis and Oxidation for Production and Consumption of Strongly Oxygenated Hydrocarbons as Chemical Energy Carriers: Explain
  • Explore the most effective strategies for fatigue-fracture and failure prevention of automotive engines and the importance of such prevention
  • Explore the turbomachinery performance and stability enhancement by means of end-wall flow modification
  • Production optimization, engine performance, and tribological characteristics of biofuels and their blends in internal combustion engines as alternative fuels: Explain

Civil Engineering Research Topics

  • The use of sustainable materials for construction: design and delivery methods.
  • State-of-the-art practice for recycling in the construction industry.
  • In-depth research on the wastewater treatment process
  • Building Information Modelling in the construction industry
  • Research to study the impact of sustainability concepts on organizational growth and development.
  • The use of warm-mix asphalt in road construction
  • Development of sustainable homes making use of renewable energy sources.
  • The role of environmental assessment tools in sustainable construction
  • Research to study the properties of concrete to achieve sustainability.
  • A high-level review of the barriers and drivers for sustainable buildings in developing countries
  • Sustainable technologies for the building construction industry
  • Research regarding micromechanics of granular materials.
  • Research to set up remote sensing applications to assist in the development of sustainable construction techniques.
  • Key factors and risk factors associated with the construction of high-rise buildings.
  • Use of a single-phase bridge rectifier
  • Hydraulic Engineering: A Brief Overview
  • Application of GIS techniques for planetary and space exploration
  •   Reengineering the manufacturing systems for the future.
  • Production Planning and Control.
  •   Project Management.
  •   Quality Control and Management.
  •   Reliability and Maintenance Engineering.

Environmental Engineering Research Paper Topics

  • Design and development of a system for measuring the carbon index of energy-intensive companies.
  • Improving processes to reduce kWh usage.
  • How can water conductivity probes help determine water quality and how can water be reused?
  • A study of compressor operations on a forging site and mapping operations to identify and remove energy waste.
  • A project to set up ways to measure natural gas flow ultrasonically and identify waste areas.
  • Developing a compact device to measure energy use for a household.
  • What are carbon credits and how can organizations generate them?
  • Production of biogas is from organic coral waste.
  • Analyzing the impact of the aviation industry on the environment and the potential ways to reduce it.
  • How can voltage reduction devices help organizations achieve efficiency in electricity usage?
  • What technologies exist to minimize the waste caused by offshore drilling?
  • Identify the ways by which efficient control systems using information systems can be introduced to study the energy usage in a machining factory.
  • The process mapping techniques to identify bottlenecks for the supply chain industry.
  • Process improvement techniques to identify and remove waste in the automotive industry.
  • In what ways do green buildings improve the quality of life?
  • Discussion on the need to develop green cities to ensure environmental sustainability
  • Process of carbon dioxide sequestration, separation, and utilization
  • Development of facilities for wastewater treatment

Environmental Engineering Research Topics

Read more topics: Outstanding Environmental Science Topics for You to Consider

Electrical Engineering Research Topics

  • Research to study transformer losses and reduce energy loss.
  • How does an ultra-low-power integrated circuit work?
  • Setting up a control system to monitor the process usage of compressors.
  • Integration of smart metering pulsed outputs with wireless area networks and access to real-time data.
  • What are the problems of using semiconductor topology?
  • Developing effective strategies and methodical systems for paying as-you-go charging for electric vehicles.
  • A detailed review and investigation into the key issues and challenges facing rechargeable lithium batteries.
  • Trends and challenges in electric vehicles technologies
  • Research to investigate, develop and introduce schemes to ensure efficient energy consumption by electrical machines.
  • What is meant by regenerative braking?
  • Smart charging of electric vehicles on the motorway
  • Research to study metering techniques to control and improve efficiency.
  • Develop a scheme to normalize compressor output to kWh.
  • Research to introduce smart metering concepts to ensure efficient use of electricity.
  • What is the most accurate method of forecasting electric loads?
  • Fundamentals of Nanoelectronics
  • Use of DC-to-DC converter in DC (Direct Current) power grid
  • Development of Microgrid Integration

Electronics and Communications Engineering Research Topics

  • Developing the embedded communication system for the national grid to optimize energy usage.
  • Improvement of inter-symbol interference in optical communications.
  • Defining the boundaries of electrical signals for current electronics systems.
  • The limitation of fiber optic communication systems and the possibility of improving their efficiency.
  • Gaussian pulse analysis and the improvement of this pulse to reduce errors.
  • A study of the various forms of errors and the development of an equalization technique to reduce the error rates in data.
  • Realizing the potential of RFID in the improvement of the supply chain.
  • Design of high-speed communication circuits that effectively cut down signal noise.
  • Radiation in integrated circuits and electronic devices.
  • Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological, and radiological defense.

Computer and Software Engineering Research Topics

  • How do businesses benefit from the use of data mining technologies?
  • What are the risks of implementing radio-controlled home locks?
  • To what extent should humans interact with computer technologies?
  • Are financial trading systems operating over the web putting clients at risk?
  • What challenges do organizations face with supply chain traceability?
  • Do chatbot technologies negatively impact customer service?
  • What does the future of computer engineering look like?
  • What are the major concepts of software engineering?
  • Are fingerprint-based money machines safe to use?
  • What are the biggest challenges of using different programming languages?
  • The role of risk management in information technology systems of organizations.
  • In what ways does MOOD enhancement help software reliability?
  • Are fingerprint-based voting systems the way of the future?
  • How can one use an AES algorithm for the encryption of images?
  • How can biological techniques be applied to software fault detection?

Read more: Creative Capstone Project Ideas For Students

Network and Cybersecurity Engineering Research Topics

  • Write about Cybersecurity and malware connection.
  • How to detect mobile phone hacking.
  • Discuss Network intrusion detection and remedies.
  • How to improve network security using attack graph models.
  • Explain Modern virus encryption technology.
  • Investigate the importance of algorithm encryption.
  • Discuss the role of a firewall in securing networks.
  • Write about the global cybersecurity strategy.
  • Discuss the Privacy and security issues in chatbots.
  • Write about Cloud security engineering specifics

Industrial Engineering Research Paper Topics

  • The application of lean or Six Sigma in hospitals and services-related industries.
  • The use of operation research techniques to reduce cost or improve efficiency.
  • Advanced manufacturing techniques like additive manufacturing.
  • Innovation as a Complex Adaptive System.
  • CAD-based optimization in any manufacturing environment.
  • Gap analysis in any manufacturing firm.
  • The impact of 3D printing in the manufacturing sector.
  • Simulating a real-life manufacturing environment into simulating software
  • The rise of design and its use in the developing world.
  • Building a network-based methodology to model supply chain systems.
  • Risk optimization With P-order comic constraint
  • Technology and its impact on mass customization
  • How project management becomes more complex with disparate teams and outsourced functions?
  • Scheduling problem for health care patients.

Biomedical Engineering Research Ideas

  • How does the use of medical imaging help patients with higher risks?
  • How can rehabilitation techniques be used to improve a patient’s quality of life?
  • In what ways can biomaterials be used to deliver medications more efficiently?
  • What impact does medical virtual reality have on a patient’s care?
  • What advancements have been made in the field of neural technology?
  • How does nanotechnology pave the way for further advancements in this field?
  • What is computational biology and how does it impact our lives?
  • How accurate are early diagnosis systems in detecting heart diseases?
  • What does the future hold for technology-fueled medications?
  • What are the guiding principles of biomedical engineering research?

Read more: Top Biology Research Topics for Academic Writing

Chemical Engineering Research Topics

  • How can epoxy resins withstand the force generated by a firing gun?
  • The use of software affected design aspects in chemical engineering.
  • What challenges are there for biochemical engineering to support health?
  • The advancements of plastic technology in the last half-century.
  • How can chemical technologies be used to diagnose diseases?
  • What are the most efficient pathways to the development of biofuels?
  • How can charcoal particles be used to filter water in developing countries?
  • Increased production of pharmacy drugs in many countries.
  • How do complex fluids and polymers create more sustainable machinery?

Miscellaneous Engineering Research Ideas

  • Sensing and controlling the intensity of light in LEDs.
  • Design and development of a pressure sensor for a solar thermal panel.
  • Development of microsensors to measure oil flow rate in tanks.
  • How can organizations achieve success by reducing bottlenecks in the supply chain?
  • Research to identify efficient logistics operations within a supply chain.
  • Developing frameworks for sustainable assessments taking into account eco-engineering measures.
  • Research to identify process improvement plans to support business strategies.
  • What can engineers do to address the problems with climate change?
  • The impact of training on knowledge performance index within the supply chain industry.
  • Research to introduce efficiency within information systems and support the timely transfer of knowledge and information.

Final Words

Out of the 150+ engineering research paper topics and ideas suggested in this blog, choose any topic that is convenient for you to conduct research and write about. In case, you have not yet identified a good topic for your engineering research paper, reach out to us immediately. We have numerous PhD-certified experts in various engineering branches to offer help with research paper topic selection, writing, and editing in accordance with your requirements.

Especially, with the support of our scholarly writers, engineering students of all academic levels can complete their assignments on time and achieve the highest possible grades. Furthermore, taking our engineering assignment help would aid you in submitting high-quality and plagiarism-free research papers with proper citations and supporting evidence.

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CS Preliminary Examination Procedures

The preliminary exam will be an in depth examination in the student’s area of research. A panel of three or more faculty approved by the DGS will conduct the examination. The preliminary examination focuses on a research topic (which may span multiple primary areas) selected by the student and the advisor and consists of a written and an oral part. The written part is based on a paper led by the student that can be (1) a paper submitted, accepted, or published or (2) a paper presenting a critical review of a research problem. The student is expected to submit the manuscript 10 days prior to the exam.  Examples of specifications for written papers for previous preliminary examinations are available.

If the student does not have such a paper as outlined above, the advisor will assign a writing task to create one. The student will receive the assignment 30 days prior to the exam date and will be expected to submit the required materials by the deadlines determined by the committee.

The oral part consists of a presentation of the research paper and an in-depth oral examination. Note that the preliminary examination committee, with the approval of the DGS, may alter the examination requirements in individual cases.

The preliminary examination must be taken in the second year preferably in the fall semester (for PhD students admitted in the fall semester).

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Research Beyond the Obvious!

Are you struggling to find a topic that can unearth new findings? Even before starting, many students feel drowning with the mere task of sorting out the best research topics. Don’t fret! This blog explores the top 10 research topics for students, with a focus on different subjects, including psychology, social sciences, etc. From exploring the impact of AI to dealing with social issues, let’s discover good ideas for a research paper! 

Why Do You Need to Find a Research Topic?

Before we get down to the top 10 research topics for students, let’s understand what they are. Research topics help students to drill down into a subject and break down a wide aspect into smaller things. The topics serve the purpose of bringing fresh perspectives to the table and point out a potential knowledge gap or core problem. 

Research Topic vs. Research Question 

Going by its definition, a research topic focuses on a broad theme that calls for deep investigation. On the other hand, a research question is a particular query that researchers use to find plausible answers and new scopes. While you may be busy finding the top 10 research topics for students in college or senior high school, always remember that the topic reflects an aspect of a subject. 

Factors to Choose Good Research Project Topics 

The key to finding the top 10 research topics may leave you confused but don’t worry. The table below portrays the characteristics of interesting research paper topics that you must keep in mind: 

How to Choose a Good Research Paper Topics?

While we will give you some ideas about the top 10 research topics for students, you still need to pick one. However, getting closer to this sole topic may feel soul-crushing! Don’t worry; these tips will help you select the best research topics for students. 

1. Personal Interest

The top 10 research topics for students usually stem from what motivates them. If you are interested in a specific field, you can go forward with the topic as long as it is relevant to your field. However, this does not mean you can overlook potential biases - being too close to the subject might even lead you nowhere. 

2. Check the Guidelines

When looking for the top 10 research topics for students, it’s imperative to adhere to guidelines laid out by your school. Sometimes, they approve good topics for research papers only if they are related to the public interest or environment. Ask your professor/mentor whether you need to follow certain guidelines while finding the best research topics for students. 

3. Availability of Resources  

Your research project might never see the daylight if you do not have enough resources available. Make sure the resources are within your limits! In case your research has funding, always check how you will be able to use it. Finances, access to participants, and timings are key factors in finalising among the top 10 research topics for students. 

Top 10 Research Topics for Students in College and Senior High School

Here, we will delve into the top 10 research topics for students. Whether you are in a college or senior high school, these topics will show you light at the end of the tunnel. You might find inspiration from these topics and may even come up with original research topics and research questions. So, let’s unveil the best research topic ideas for students! 

1. Psychology Research Paper Topics 

Psychology papers offer an exciting opportunity to explore and understand the human psyche. Emerging technologies and their impact on mental health is one of the best research topics for students, yet there are more you can explore. Below, are some of the best research topics for students: 

1. The impact of social media on mental health among adolescents and young adults.

2. The potential benefits and risks of virtual reality therapy for mental health conditions. 

3. The ethical considerations of using AI in psychological treatment. 

4. The influence of mindfulness practices on cognitive performance and well-being.

5. The link between sleep quality and cognitive decline in ageing populations.

2. Business and Economics Research Topics 

From sustainable business practices to global trade dynamics, the best research topics for students regarding business and economics revolve around many areas. While you may initially find it challenging how to conduct research , you can draw inspiration from these topics for research paper:

1. The impact of AI on various aspects of business, such as marketing and financial analysis.

2. The ethical considerations and challenges associated with the use of big data and analytics in business practices.

3. The potential of blockchain technology to revolutionise supply chain management and improve data privacy.

4. The effectiveness of policy interventions to promote sustainable economic growth & development.

5. Exploring the factors that contribute to the success of startups and new ventures in the digital age.

3. Social Sciences Research Topics 

Social sciences deal with the study of human behaviour and explore socioeconomic inequalities, political ideologies, urban development, and more. If you are looking for good ideas for a research paper regarding social sciences, here are some: 

1. The effectiveness of different social policy interventions aimed at addressing global issues. 

2. The potential of blockchain technology to improve transparency and accountability in social structures.

3. The social and ethical implications of artificial intelligence (AI) in various aspects of life. 

4. The psychological and social impacts of climate change on individuals and communities. 

5. The increasing focus on interdisciplinary research that combines social science with data science.

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4. Language and Linguistics Research Topics 

From computational linguistics to semantics to language preservation, the field of language  leads to some really good topics for research papers. While going through our list of top 10 research topics for students, you can already grasp that there are a few things to keep in mind when writing a college paper ! So, here are the best research topic ideas for students regarding language studies: 

1. The influence of social media and digital communication on language use and evolution.   

2. The impact of language learning apps and online platforms on pedagogy. 

3. The role of language in perpetuating social inequalities.

4. The link between language and mental health in the context of cultural displacement.

5. The potential of multilingualism to enhance cognitive abilities. 

5. Health and Medicine Research Topics

Finding the best research topics for students is daunting when it comes to a dynamic field like health and medicine. After going through this compilation of the top 10 research topics for students, you can understand how to come up with the right one. Here, based on the emerging areas of interest, we share some of the potentially impactful and the best research ideas for students: 

1. The integration of AI in medical diagnosis and treatment. 

2. Investigating the ethical considerations of using AI in the healthcare sector. 

3. The developing field of preventive health measures and promoting healthy lifestyles.

4. The link between social determinants of health and mental well-being. 

5. Improving access to healthcare and promoting health equity in minority communities.

6. Renewable Energy & Clean Technologies Research Topics

Initially, you might find it impossible to understand how to write a research paper for college , but these top 10 research topics for students will have you covered. Especially when your focus is on clean energy sources and the emission of greenhouse gases, there is a lot to cover nowadays. Here are some of the best research topics for students: 

1. The potential of next-generation solar cell technologies. 

2. The social and environmental aspects of renewable energy deployment.

3. Discovering the potential of decentralised energy systems.

4. The potential of hydrogen energy, including production, storage, and utilisation.

5. The impact of climate change on renewable energy resources.

7. Technology and Innovation Research Topics 

The sector for technology is ever-evolving, with innovations taking place every other. With the emergence of IoT, artificial intelligence, and ML, the world of technology is your oyster. Here are the best research topics for students: 

1. The societal implications of AI in healthcare, finance, and autonomous vehicles. 

2. The potential of blockchain technology to revolutionise cybersecurity and voting systems.

3. Innovative solutions to combat climate change, including renewable energy technologies and sustainable infrastructure. 

4. The role of technology in disaster preparedness and risk management. 

5. The use of technology to bridge the digital divide and ensure equitable access to information. 

8. Arts and Design Research Topics 

Whether your niche lies in art therapy, cultural studies in arts, or architecture innovation, there are interesting research paper topics. While exploring the top 10 research topics for students, constructing research may seem difficult – going through the research design - elements and characteristics can solve your problems. So, here are the best research topics for students in college: 

1. The impact of AI on artistic creation. 

2. The use of virtual reality and augmented reality in storytelling. 

3. The role of art in addressing social and environmental challenges. 

4.  The use of art as a tool for social commentary and activism. 

5. The evolving nature of art museums and galleries in the digital age.

9. Argumentative Research Topics 

Building a specific argument and exploring topics can bring you some unique topics for research paper. Through these top 10 research topics for students, you can evaluate human interest on a global scale and beyond. Let’s have a look at these best research topics for students: 

1. Is universal basic income a viable solution to poverty?

2. Is nuclear power a solution to the global energy crisis?

3. Does increased global cooperation offer a solution to climate change?

4. The impact of automation and AI on the future of work and employment.

5. The ethical implications of gene editing and other emerging biotechnologies.

10. Human Rights Research Paper Topics  

Our list of top 10 research topics remains incomplete without human rights. This field is evolving and has become a growing interest for everyone around the world. If you want to probe questions about gender equality or privacy rights, here are a few of the best research topics for students: 

1. The role of human rights defenders and activists in promoting social change. 

2. The human rights of marginalised groups, such as LGBTQ+ individuals and people with disabilities.

3. The impact of AI on human rights, including issues of bias and discrimination.

4. Examining the ethical implications of facial recognition technology. 

5. Exploring the human rights implications of environmental pollution and toxic waste disposal. 

Now that you have an idea about some of the top 10 research topics for students, we hope you come up with an original one. Remember, successful research always starts with the right question. Take time, dig deep into the relevant theories, and find thought-provoking topics for research papers. Meanwhile, don’t overlook the power of how to write a research paper appendix and how to create the right structure for the paper. So, happy researching! 

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    Computer science research topics can be divided into several categories, such as artificial intelligence, big data and data science, human-computer interaction, security and privacy, and software engineering. If you are a student or researcher looking for computer research paper topics.

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    The Top Ten Symposium Papers are: 1. " Identifying student misconceptions of programming " (2010) Lisa C. Kaczmarczyk, Elizabeth R. Petrick, University of California, San Diego; Philip East, University of Northern Iowa; Geoffrey L. Herman, University of Illinois at Urbana-Champaign. Computing educators are often baffled by the ...

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    Back to blog 100 Great Computer Science Research Topics Ideas for 2023 Being a computer student in 2023 is not easy. Besides studying a constantly evolving subject, you have to come up with great computer science research topics at some point in your academic life.

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  18. 200+ Best Engineering Research Paper Topics in 2022

    Blog / 200+ Best Engineering Research Paper Topics in 2022 200+ Best Engineering Research Paper Topics in 2022 Published - 2022-10-13 Research Topics Since the dawn of humanity, there have been engineering issues and a need to solve them.

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