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Dr Rajkumar Rathore

Lecturer in Computer Science
Cardiff School of Technologies

Overview

Dr Rajkumar Singh Rathore is a Lecturer in Department of Computer Science at Cardiff Metropolitan University’s School of Technologies, United Kingdom. Dr Rathore is a scholar throughout his career. He has several years of rich experience in quality of teaching, learning and research excellence. Dr Rathore was the topper during his research degree-PhD and his research works were fully supported by Nottingham Trent University, United Kingdom and Manchester Metropolitan University, United Kingdom. Dr Rathore has an Outstanding R&D background and successfully completes research project by designing Intelligent Framework for Next Generation Cyber Physical Systems. He has co-authored six textbooks for BSc and MSc students on different modules of Computer Science. He has expertise in research informed teaching methods, and He has been awarded as Best Teacher many times during his career. He is the member of various prestigious international organizations in the field of computer science. He is a reviewer of several reputed peer reviewed International Journals, and Conferences. He has served as a Technical Program Committee member and chaired sessions in many reputed International Conferences.

Research Publications

Beyond boundaries a hybrid cellular potts and particle swarm optimization model for energy and latency optimization in edge computing

Sahu, D., Nidhi, Prakash, S., Sinha, P., Yang, T., Rathore, R. S. & Wang, L., 20 Feb 2025, In: Scientific Reports. 15, 1

Research output: Contribution to journalArticlepeer-review

Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes

Sahu, D., Nidhi, Chaturvedi, R., Prakash, S., Yang, T., Rathore, R. S., Wang, L., Tahir, S. & Bakhsh, S. T., 29 Jan 2025, In: Scientific Reports. 15, 1, p. 3730 1 p., 3730.

Research output: Contribution to journalArticlepeer-review

A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles

Tiwari, P. K., Prakash, S., Tripathi, A., Yang, T., Rathore, R. S., Aggarwal, M. & Shukla, N. K., 22 Jan 2025, In: IEEE Access. 13, p. 20678 - 20690 13 p.

Research output: Contribution to journalArticlepeer-review

A Comprehensive Overview of Formal Methods and Deep Learning for Verification and Optimization

Swaroop, A., Singh, A., Chandra, G., Prakash, S., Yadav, S. K., Yang, T. & Rathore, R. S., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA). Institute of Electrical and Electronics Engineers (IEEE), p. 1-6 6 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

A Computational Intelligence Inspired Framework for Intrusion Detection in WSN

Pandey, V. K., Prakash, S., Gupta, T. K., Yang, T., Singh, A. & Rathore, R. S., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA). Institute of Electrical and Electronics Engineers (IEEE), p. 1-4 4 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

A Data-Driven Workload Prediction Model for Cloud Computing Using Machine Learning

Vajpayee, A., Tiwari, P. K., Prakash, S., Yang, T. & Rathore, R. S., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA). Institute of Electrical and Electronics Engineers (IEEE), p. 1-6 6 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

An Efficient and Secure Framework for Smart Healthcare Using IoT and Machine Learning

Pandey, V. K., Prakash, S., Gupta, T. K., Rathore, V., Singh, A., Yang, T. & Rathore, R. S., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA) . Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

An Efficient ML-Based Model for Network Intrusion Detection System

Sinha, P., Prakash, S., Jha, S. K., Rathore, V., Yang, T., Rathore, R. S., Singh, A. & Mishra, R., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA). Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

An Efficient Model for American Sign Language Recognition Using Deep-Neural Networks

Chandra, A., Ranjan, A., Sahu, D. P., Prakash, S., Yang, T., Rathore, R. S. & Vajpayee, A., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA). Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Blockchain-Enabled Real-Time Intrusion Detection Framework for a Cyber-Physical System

Bajpai, A., Singh, A., Kansal, V., Prakash, S., Yang, T. & Rathore, R. S., 17 Jan 2025, 2024 International Conference on Decision Aid Sciences and Applications (DASA). Institute of Electrical and Electronics Engineers (IEEE), p. 1-7 7 p. (2024 International Conference on Decision Aid Sciences and Applications (DASA)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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