Dr Rajkumar Rathore

Senior Lecturer in Computer Science & Programme Director MSc Computing and IT
Cardiff School of Technologies

rsrathore@cardiffmet.ac.uk

Overview

Dr. Rajkumar Singh Rathore currently serves as a Senior Lecturer(Associate Professor) and Program Director for the MSc in Computing and IT within the School of Technologies at Cardiff Metropolitan University, United Kingdom. He leads the Cyber-Physical and Networked Systems group at the CeRISS Research Centre and heads the Cybersecurity initiatives for Connected and Autonomous Systems at the CINC Research Centre. As a Fellow of the Higher Education Academy (HEA) in the United Kingdom, Dr. Rathore has amassed several years of experience in scholarship of teaching learning and research excellence. He is the cluster head of a Responsible and Transparent Artificial Intelligence Research Cluster (RTAR-C) consisting of 15 international universities for joint research endeavours.

An accomplished academic, he has co-authored multiple textbooks tailored for BSc and MSc programs in Computer Science. He actively contributes to the academic community, having served as a Technical Program Committee chair and as a keynote speaker at several esteemed international conferences.

Dr. Rathore is a founding member of the IEEE Trustworthy Internet of Things (TRUST-IoT) Working Group and is a member of the ACM Europe Technology Policy Committee for AI, Data Science, Autonomous systems and Cybersecurity. His research interests are diverse and include the Responsible AI, Internet of Things/Cyber Physical Systems, Cybersecurity & Privacy, Connected and Autonomous Vehicles(CAVs), EV Charging Infrastructure Management, Smart Grid, Intelligent Networking of Drones and use cases of AI/ML.

Research Publications

Enhancing Indoor IoT Edge Intelligence with Deep Reinforcement Learning in Hybrid WiFi/LiFi Networks

Ashraf, M. W. A., Singh, A. R., Rathore, R. S., Jiang, W., Janagaraj, A. & Selvaraj, B., 29 Aug 2025, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. p. 1-12 12 p.

Research output: Contribution to journal › Article › peer-review

Ensemble Learning for Software Requirement-Risk Assessment: A Comparative Study of Bagging and Boosting Approaches

Kumar, C., Khan, P. S., Srinivas, M., Jha, S. K., Prakash, S. & Rathore, R. S., 27 Aug 2025, In: Future Internet. 17, 9, p. 387 1 p.

Research output: Contribution to journal › Article › peer-review

Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling

Sahu, D., Nidhi, Chaturvedi, R., Prakash, S., Yang, T., Rathore, R. S. & Alsolbi, I., 19 Aug 2025, In: Scientific Reports. 15, 1, 30452.

Research output: Contribution to journal › Article › peer-review

Quantum-Inspired Metaheuristic Algorithms for Trust-Based Privacy Agreements and Secure Access in the Internet of Vehicles

Singh, A. R., Ashraf, M. W. A., Ganesh, D., Rathore, R. S., Hewage, C. T. E. R. & Bashir, A. K., 5 Aug 2025, In: IEEE Transactions on Intelligent Transportation Systems. p. 1-13 13 p.

Research output: Contribution to journal › Article › peer-review

A lightweight framework to secure IoT devices with limited resources in cloud environments

Pandey, V. K., Sahu, D., Prakash, S., Rathore, R. S., Dixit, P. & Hunko, I., 17 Jul 2025, In: Scientific Reports. 15, 1, p. 26009 26009.

Research output: Contribution to journal › Article › peer-review

Advanced Machine Learning Approach with Dynamic Analysis to Detect Malware in Cybersecurity Domain

Gupta, S., Khan, S., Yang, T., Rathore, R. S., Das, A. & Mishra, N., 3 Jul 2025, Proceedings of 4th International Conference on Computing and Communication Networks, ICCCN 2024. Kumar, A., Swaroop, A. & Shukla, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 495-502 8 p. (Lecture Notes in Networks and Systems; vol. 1292 LNNS).