Zakirul Alam Bhuiyan, PhD, SMIEEE, SMACM

Cybersecurity Professor | Associate Chair of the CIS Department

Fordham Center for Cybersecurity | Fordham University | New York City, USA

Cybersecurity • Trustworthy AI/ML • Secure Signal Engineering (SSE) • Wireless Signals • IoT/CPS Applications

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.

Portrait of Professor Zakirul Alam Bhuiyan in a research laboratory

Selected Accomplishments at a Glance

Selected Scholarly Indicators

Selected High-Impact Publication Venues

  • IEEE: TMC, TDSC, TC, TPDS, ComMag, TII, TAAS, T-ITS, TOSN, CSUR, IoT-J
  • ACM: TOSN, TAAS, CSUR, TCPS, ToIT, TOMM
  • Other Journals: INS, INF, JNCA, TSUSC, TETC, TBD, C&S, and COSE
  • Flagship Conferences: INFOCOM, SECON, DSN, SRDS, ICC, GLOBECOM, ICCCN, MASS, TrustCom

30+ Awards/Honors

  • 7 IEEE/Springer/Journal venues
  • 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.”

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.

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