Personal profile
Personal profile
Dr. Shailendra Rathore is Lecturer (Asst. Prof.) in the Division of Cybersecurity at Abertay University, UK, working at the £18 million CyberQuarter research and development centre. He is a member of the university’s Research Ethics Committee and a Fellow of the Higher Education Academy (FHEA), holding a PGCert in Academic Practice (PGCAP). Dr. Rathore has over four years of academic experience in the UK, including a previous role as Assistant Professor in Cybersecurity at the University of Plymouth, where he contributed to the £3 million Cyber-SHIP Lab project. Recently, he was awarded £90K R-LINCS2 funding for research on privacy-preserving machine learning for Next-Generation IoT (NG-IoT) security. He received his Ph.D. from Seoul National University of Science and Technology in South Korea. His research interests include Cybersecurity, Artificial Intelligence, Blockchain, and Machine Learning. Dr. Rathore has published extensively in top-tier journals and actively contributes to international IEEE and ACM conferences.
Education/Academic qualification
Cybersecurity, PhD, Seoul National University of Science and Technology
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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Asynchronous deep reinforcement learning for semantic communication and digital-twin deployment in transportation networks
Rawlley, O., Gupta, S., Panwar, J. K., Sharma, P. & Rathore, S., 28 Feb 2026, In: IEEE Transactions on Intelligent Transportation Systems. 27, 2, p. 2658-2673 16 p., 11112789.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)153 Downloads (Pure) -
Green-EMulTO: a next generation edge-assisted multi-level traffic orchestrator for green computing in consumer autonomous vehicles
Rawlley, O., Gupta, S., Mahajan, K. & Rathore, S., 1 Nov 2024, In: IEEE Transactions on Consumer Electronics. 70, 4, p. 7291-7301 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)164 Downloads (Pure) -
Optimized energy management strategies for electric vehicles
Jain, P. (Editor), Aggarwal, P. K. (Editor), Singh, M. (Editor), Singh, S. K. (Editor) & Rathore, S. (Editor), 18 Dec 2024, Hershey, PA: IGI Global . 414 p.Research output: Book/Report › Book
1 Link opens in a new tab Citation (Scopus) -
A distributed deep learning approach with mobile edge computing for next generation IoT networks security
Rathore, S., Sharma, P. K. & Rathore, H., 4 Sept 2023, 2023 World Conference on Communication & Computing (WCONF): proceedings. IEEE , 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile3 Link opens in a new tab Citations (Scopus)140 Downloads (Pure) -
A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology
Singh, S., Rathore, S., Alfarraj, O., Tolba, A. & Yoon, B., 1 Apr 2022, In: Future Generation Computer Systems. 129, p. 380-388 9 p.Research output: Contribution to journal › Article › peer-review
351 Link opens in a new tab Citations (Scopus)