Personal profile
Biography
Dr Syed Atif Moqurrab is a Lecturer in the School of Computer Science and Technology at the University of Bedfordshire. He holds a PhD in Computer Science from COMSATS Institute of Information Technology, Pakistan, and a master’s degree from the National University of Computer and Emerging Sciences, Pakistan. His research focuses on privacy, security, and advanced data analytics, with significant contributions to Artificial Intelligence and privacy-preserving techniques.
Prior to joining Bedfordshire, Dr. Moqurrab served as a Research Fellow at the University of Southampton and as a Research Assistant Professor at Gachon University, South Korea. He also held an Assistant Professorship at Air University, Pakistan, where he taught subjects ranging from machine learning to data science and led various academic committees.
Dr. Moqurrab’s extensive publication record showcases innovative approaches in deep learning, data privacy, and cybersecurity.
Research interests
- Artificial Intelligence
- Data Science
- Data Privacy
- Bioinformatics
Teaching Expertise
- Machine Learning, Data Science, and Big Data Analytics
- Information Security and Data Privacy
- Programming Fundamentals and Object-Oriented Programming
- Data Structures and Algorithms
- Operating Systems and Database Systems
- Information Security and Cryptography
Education/Academic qualification
PhD, COMSATS University Islamabad
External positions
Review Editor, High Performance Big Data Systems, Frontiers.
Member of the Program Committee, International Web Information Systems Engineering (WISE) Conference 2024.
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Collaborations and top research areas from the last five years
Research output
- 19 Article
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Battery signal control model for large-scale IoT medical monitors under multipath interference
Yang, S., Zhang, S., Chen, D. & Moqurrab, S. A., 14 Feb 2025, In: EAI Endorsed Transactions on Pervasive Health and Technology. 11Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Detection for user impersonation attacks in mobile social networks based on high-order Markov chains
Gong, W., Huang, Y., Djenouri, Y. & Moqurrab, S. A., 31 Mar 2025, In: Mobile Networks and Applications. 30, 1-2, p. 191-200 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
A non-rigid three-dimensional image reconstruction algorithm based on deformable shape reliability
Chen, H. & Moqurrab, S. A., 14 May 2024, In: IEEE Access. 12, p. 76995-77008 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
A novel multi-modal Federated Learning based thermal-aware job scheduling framework
Rehman, R., Malik, S. U. R., Qureshi, S. H. & Mouqarrab, S. A., 31 Oct 2024, In: Computer Networks. 255, 110879.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
BBAD: Blockchain-Backed Assault Detection for Cyber Physical Systems
Anwar, M., Tariq, N., Ashraf, M., Moqurrab, S. A., Alabdullah, B., Alsagri, H. S. & Almjally, A., 23 May 2024, In: IEEE Access. 12, p. 101878-101894 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)1 Downloads (Pure)