Advancing verification-driven foundations, trustworthy AI methods, and deployable system architectures for maintaining trust across the sensing-to-decision lifecycle. The research focuses on preserving the integrity, quality, provenance, security, and privacy of signals and data across sensing, communication, learning, and decision-making, enabling AI, wireless, and IoT/CPS systems to remain secure, robust, resilient, and dependable under dynamic and adversarial environments.
James C. McGroddy Award for Innovation in Education | 2026
Highly Cited Researcher of the world, Clarivate/Web of Science | 3-time recognitions
Rising Star of Science, Research.com | U.S. Rank #164 (2023)
2% Scientists, Stanford/Elsevier | 2021–2025
Highly Ranked Scholar, ScholarGPS | 2024–2026
IEEE TCSC Award for Research Excellence | 2024
IEEE TCSC MCR Award | 2024
Fordham Mid-Career Researcher Award | 2023–2024
25+ Journal Editorial and Guest-Editor Roles
Including IEEE TBD, TCC, TII, TOMM, IoT-J, TCPS, Information Sciences, FGCS, AIHC, and HCIS
50+ Conference Leadership, Organization, and TPC Lead Roles
Including TrustCom, DASC, AidTSP, Smart World Congress, ISPA, CyberSciTech, UbiSec, IEEE INFOCOM, and UIC
50+ Keynotes, Seminars, Panels, and Invited Talks
Selected Publications Snapshot
S. Hong, Q. Tian, J. Shen, Z. A. Bhuiyan, et al., “An Efficient iTreeKEM-Based Group Key Agreement Protocol for Flying Ad-Hoc Networks,” IEEE Transactions on Mobile Computing (TMC), 2026.
H. Tan, C. Fang, J. Shen, Z. A. Bhuiyan, et al., “Cross-Domain Heterogeneous Data Aggregation With Dynamic Group Key Agreement for Hybrid Satellite Networks,” IEEE Transactions on Dependable and Secure Computing (TDSC), 2026.
A. Alfatemi, M. Rahouti, Z. A. Bhuiyan, et al., “ShallowNet: A Lightweight Neural Network Approach for Efficient Flow-Level DDoS Detection,” IEEE Transactions on Computational Social Systems (TCSS), 2026.
Y. Tian, S. Wang, J. Xiong, R. Bi, Z. Zhou, Z. A. Bhuiyan, et al., “Robust and Privacy-Preserving Decentralized Deep Federated Learning Training: Focusing on Digital Healthcare Applications,” IEEE Transactions on Computational Biology and Bioinformatics (TCBB), 2024.
T. Hai, Z. A. Bhuiyan, et al., “Blockchain-Based Trustworthiness in Cross-Border Data Exchange in 5G-Powered Intelligent Connected Vehicles,” IEEE Network, 2025.
S. Zhang, Z. Li, K. C. Li, Z. A. Bhuiyan, et al., “Blockchain-Based Hybrid Reliable User Selection Scheme for Task Allocation in Mobile Crowd Sensing,” IEEE Transactions on Network Science and Engineering (TNSE), 2024.
Y. Xu, Z. A. Bhuiyan, et al., “C-FDRL: Context-Aware Privacy-Preserving Offloading Through Federated Deep Reinforcement Learning in Cloud-Enabled IoT,” IEEE Transactions on Industrial Informatics (TII), 2023.
About Me
Short Bio
Dr. Bhuiyan is a Professor of Computer Science (Cybersecurity and Trustworthy AI/ML) at Fordham University, New York, and Director of the DependSys Research Lab, affiliated with the Fordham Center for Cybersecurity. His research focuses on cybersecurity & privacy, trustworthy AI/ML, data-driven dependability, and secure CPS/IoT systems. He has authored over 250 publications with more than 14,500 citations, including journal articles, conference papers, books, and book chapters, in leading venues such as IEEE and ACM transactions. He has served as an Associate Editor for multiple top journals and in leadership roles for major conferences. He has been named a “Highly Cited Researcher” and a “Rising Star of Science.”
Academic Leadership Profile
250+ Publications25+ ESI Highly Cited Papers5 ESI Hot Papers7 Best Paper Awards
Position & Leadership
Dr. Bhuiyan is a Professor in the Department of Computer and Information Sciences at Fordham University, New York, USA. He also serves as the Director of the Dependable and Secure Systems Research (DependSys) Lab and is affiliated with the Fordham Center for Cybersecurity. Prior to joining Fordham, he held faculty positions as an Assistant Professor at Fordham University and Temple University, and as an Adjunct Professor at Harvard University.
Research & Scholarly Impact
His research spans cybersecurity and privacy, trustworthy AI/ML, data-driven system dependability, and emerging CPS/IoT systems. Dr. Bhuiyan has authored and co-authored over 250 publications, including journal and transactions articles, conference papers, 10 book chapters, and 4 books. His work has appeared in leading IEEE/ACM journals and conferences.
Editorial Roles & Recognition
Dr. Bhuiyan has served as an Associate Editor and Lead Guest Editor for several prominent journals, and has received research, education and service recognitions.
DependSys Lab
Our lab pioneers solutions in Data-Driven Dependability and Secure Wireless Sensing. We are a collaborative environment of researchers dedicated to high-impact innovations in AI security.