Recent PhD Topics in Computer Science

Get original and specialized topics on computer science area. We share brainstorming ideas scatter to your needs all our writer are trained PhD experts who come up with novel ideas.  Conducting a PhD research in computer science mainly demands a powerful topic, which directs our research in an attainable path. We are here to distribute modern topics in computer science domain for managing efficient research:

  1. Advanced Machine Learning and AI Algorithms: For reinforcement learning, unsupervised learning and AI transparency and deep learning, the innovative or emerging techniques are analyzed.
  2. Quantum Computing and Information: Quantum machine learning, quantum algorithms, quantum cryptography and the synthesization of quantum and classical computing systems are intensely investigated in this research.
  3. Cybersecurity and Privacy: Considering cyber security and privacy, it mainly specifies on improved cryptographic techniques, privacy-preserving data analytics, and cybersecurity in IoT and blockchain technology.
  4. Human-Computer Interaction (HCI): Virtual and Augmented reality, user experience (UX) structure, adaptive user interfaces and brain-computer interfaces are required to be considered.
  5. Data Science and Big Data Analytics: Here, it is advisable to evaluate the implementation of AI (Artificial Intelligence) in big data, data visualization, real-time analytics and dealing large-scale data processing.
  6. Computational Biology and Bioinformatics: The biological areas like genomics, proteomics, drug discovery by employing analytical methods and customized medicine are included in conducting the research.
  7. Robotics and Autonomous Systems: This research area involves modernized robotics, automated vehicles, human-robot interaction and drone technology.
  8. Sustainable Computing and Green Technologies: Environment-friendly digital technologies, maintainable data centres and powers saving computing systems are the important areas, as this research highly concentrates.
  9. Internet of Things (IoT) and Edge Computing: For the purpose of operating IoT-generated data by utilizing edge computing, Iot and security in IoT systems, the innovative infrastructure is designed.
  10. Software Engineering and Systems: Cloud computing techniques, software reliability and examination, advanced software technologies and Devops are necessarily reviewed here.
  11. Networks and Communication Technologies: This study includes examining network security, satellite communication, software-defined networks and 5G/6G networks.
  12. Theoretical Computer Science: It includes research topics like computability concept, model-based design, geometric computing and techniques.
  13. Augmented and Virtual Reality: In healthcare, industry and gaming fields, the original applications and the improvement of AR/VR software and hardware are investigated.
  14. Ethics and Social Implications of Computing: Encompassing the problem of unfairness, data gap and partiality, the consequences of AI (Artificial Intelligence) and other techniques on society are deeply explored.

How do you write a review paper in computer science?

Review paper generally elaborates a fair summary based on the specific topic and it is easily interpretable among readers. To write a compelling review paper on computer science, analyze our systematic guide:

  1. Choose Your Topic: Depending on your passion, choose a topic and it must be prevalent in the domain of computer science. For handling the project in a simple manner, the topic has to be sufficiently brief as well as it must be wide to offer the considerable body of literature.
  2. Define the Scope: The range of your review is required to be stated explicitly. You must highlight the perspectives of the topic, what it would bind and mention the constraints involved in the study. For example, Time bound and kind of publication.
  3. Conduct a Comprehensive Literature Search:
  • Regarding bioinformatics and computational biology, utilize educational databases such as PubMed, Google Scholar, ACM Digital Library, arXiv and IEEE Xplore.
  • In accordance with your paper, try to find significant academic journals, books, magazines and educational papers.
  • To acquire a whole image of the topic progression, incorporate preliminary works as well as latest research.
  1. Read and Evaluate Sources: For verifying the capacity, significance and dedication for the domain, analyze every source as you interpret. Note down the specific aspects and conceptually structure them.
  2. Identify Trends and Gaps: Patterns, trends and gaps are required to be detected in the research. While identifying the gaps, consider key accomplishments, methods, popular concepts and areas which need further examination.
  3. Develop a Thesis or Purpose Statement: An explicit objective or thesis statement needs to be provided by your review. In the process of structuring and highlighting your review, this thesis statement assists you.
  4. Organize the Review: Verify your paper, whether it is organized in a sequential manner which flows effortlessly from one segment to another. It is a general procedure for determining the structure, which might be logical or conceptual.
  5. Write the Paper:
  • Introduction: The introduction section incorporates the following sections- displaying the topic, detailing its relevance, summarizing the scope and exhibiting your thesis or objective statement.
  • Body: The literature should be addressed. In an extensive manner, exhibit every subject or area. You should contrast and differentiate various studies, examine the methods and emphasize the main result in the body segment.
  • Critical Analysis: Evaluate the research crucially, simply don’t offer the outline. Merits, Demerits and conflicts need to be considered. Regarding the productiveness and consequences of your study, serve your aspects.
  • Discussion/Conclusion: Give a brief outline of your result and address the impacts of your analysis. Mention the gap which you solve in research and for upcoming tasks, recommend some areas.
  • References: According to the suitable format, register all the sources which are mentioned in your paper. The formats like MLA, IEEE and API.
  1. Revise and Edit: In the motive of attaining clearance, consistency and sequential structure in your review paper, revise your draft once again. Grammatical mistakes and typographical errors should be rectified. Make sure of the sources in your paper, whether it is mentioned properly.
  2. Get Feedback: Acquire feedback on your paper from guides or nobles, if it is required. Beneficial information is provided by them as well as they assist you in detecting the areas, where it needs sufficient exploration.
  3. Finalize the Paper: You should include the obtained feedback and conduct revisions as it is required. Get ready to provide a finalized version of your review paper.

Recent PhD Projects in Computer Science

What factors should be considered when designing a proposed system in computer science research?

Security, scalability, testability and maintainability are the essential components that we consider while designing a proposed system for your computer science research. Don’t worry we have well trained developers who guide your work on the right path.

  1. Outage performance improvement using relay in device-to-device underlying cellular networks
  2. Performance Evaluation of Wireless Cellular Networks with Mixed Channel Holding Times
  3. Bandwidth Allocation Scheme and Call Admission Control for Multi-Services with Voice Priority and Degradation Policy in Wireless Cellular Networks
  4. Handover performance of dynamic load balancing schemes in cellular networks
  5. Downlink soft handover and power allocation for CDMA heterogeneous cellular networks
  6. Mobile ad-hoc mesh for cellular networks: Mobile ad-hoc and mesh routing solutions based on OFDMA technologies for public safety & defence applications
  7. Big Data Analysis Based Network Behavior Insight of Cellular Networks for Industry 4.0 Applications
  8. Further Validation of an Electromagnetic Macro Model for Analysis of Propagation Path Loss in Cellular Networks Using Measured Driving-Test Data
  9. On designing next generation MAC for cellular networks using the FLAVIA paradigm
  10. Poster paper: A green transmission power control scheme for cellular networks in smart grid
  11. A Game-Theoretic Framework for Coexistence of WiFi and Cellular Networks in the 6-GHz Unlicensed Spectrum
  12. Asymptotic behavior of ultra-dense cellular networks and its economic impact
  13. QoS-oriented channel assignment strategy for hierarchical cellular networks
  14. A normalization model for analyzing multi-tier millimeter wave cellular networks
  15. Power control in multihop cellular networks with multiple radio access technologies
  16. Complementing Vehicular Connectivity Coverage through Cellular Networks
  17. Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network
  18. Coexistence and Performance Limits for the Cognitive Broadband Satellite System and mmWave Cellular Network
  19. Tradeoffs between handover performance and coverage range of relay stations in multihop cellular networks
  20. Interference Constrained D2D Communication with Relay Underlaying Cellular Networks