Dr Rajkumar Rathore
Senior Lecturer in Computer Science & Programme Director MSc Computing and IT
Cardiff School of Technologies
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
A scalable cloud-integrated AI platform for real-time optimization of EV charging and resilient microgrid energy management
Singh, A. R., Rathore, R. S., Jiang, W., Thakare, A., Kumar, R. S., Khadse, C. B. & Addis, H. K., 28 Oct 2025, In: Scientific Reports. 15, 1, 37692.Research output: Contribution to journal › Article › peer-review
A Tactical Traffic Management Solution for Smart Cities Using Reinforcement Learning
Rakshit, A., Karmakar, P., Mishra, S., Yang, T., Sun, R. & Rathore, R. S., 1 Oct 2025, Innovative Computing and Communications - Proceedings of ICICC 2025. Hassanien, A. E., Anand, S., Jaiswal, A. & Kumar, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 309-318 10 p. (Lecture Notes in Networks and Systems; vol. 1434 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Deployment of Bio-Inspired Intelligent Model for Self-organizing Smart Sensory Systems
Guha, D., Mukherjee, I., Ghoshrave, E., Chilluri, V. S. B., Rathore, R. S., Wu, H. & Chu, X., 1 Oct 2025, Innovative Computing and Communications - Proceedings of ICICC 2025. Hassanien, A. E., Anand, S., Jaiswal, A. & Kumar, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 641-651 11 p. (Lecture Notes in Networks and Systems; vol. 1432 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Design of a Blockchain-Based Patient Consent Management in Healthcare Centers
Khan, A., Mishra, C., Tiwari, S., Yang, T. & Rathore, R. S., 1 Oct 2025, Innovative Computing and Communications - Proceedings of ICICC 2025. Hassanien, A. E., Anand, S., Jaiswal, A. & Kumar, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 461-470 10 p. (Lecture Notes in Networks and Systems; vol. 1434 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Topological Quantum Computing: Majorana Fermions and Beyond
Guha, D., Govil, M., Saw, S. K., Yang, T. & Rathore, R. S., 1 Oct 2025, Innovative Computing and Communications - Proceedings of ICICC 2025. Hassanien, A. E., Anand, S., Jaiswal, A. & Kumar, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 67-79 13 p. (Lecture Notes in Networks and Systems; vol. 1435 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
An efficient data driven framework for intrusion detection in wireless sensor networks using deep learning
Sinha, P., Sahu, D., Prakash, S., Rathore, R. S., Dixit, P., Pandey, V. K. & Hunko, I., 30 Sept 2025, In: Scientific Reports. 15, 1, 34046.Research output: Contribution to journal › Article › peer-review
A hybrid multi-node QKD-ECC architecture for securing IoT networks
Chaturvedi, R., Sahu, D., Singh, B. P., Prakash, S., Yang, T., Rathore, R. S., Cengiz, K. & Ivković, N., 25 Sept 2025, In: Scientific Reports. 15, 1, p. 32831 1 p.Research output: Contribution to journal › Article › peer-review
Real-time traffic flow optimization using large language models and reinforcement learning for smart urban mobility
Singh, A. R., Ashraf, M. W. A., Rathore, R. S., Li, B. & Sujatha, M. S., 16 Sept 2025, In: Applied Soft Computing. 185, 113917.Research output: Contribution to journal › Article › peer-review
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. 18, p. 23344-23355 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., 387.Research output: Contribution to journal › Article › peer-review