Md Zakirul Alam Bhuiyan

Dr. Bhuiyan is currently an Associate Professor in the Department of Computer and
Information Sciences at Fordham University, NY City, USA. He is the Director of the Dependable
and Secure System Research (DependSys) Lab and is affiliated with Fordham Center for
Cybersecurity. His research focuses on cybersecurity, data-driven dependability, Trustworthy
AI/ML, and Emerging CPS/IoT applications. Dr. Bhuiyan authored/co-authored over 200
publications, including journal/transaction articles, conference proceedings, 10 book chapters,
and 04 books. His publication appeared in many prestigious journals, including IEEE TC, IEEE
TPDS, IEEE TII, IEEE TDSC, IEEE TITS, IEEE TSUSC, IEEE TETC, IEEE IoT, ACM CS, ACM TAAS, ACM
TOSN, INF, INS, JSA, JNCA, and conferences including IEEE INFOCOM, IEEE SECON, IEEE/IFIP DSN,
IEEE SRDS, IEEE TrustCom, DCOSS, IEEE MASS, IEEE DASC, and so on.

Dr. Bhuiyan has been recognized as one of the -- “Highly Cited Researchers” --One of the world’s
most influential researchers (0.1%) across multi-disciplines, including computer science, by Web
of Science. 24 of his research papers have become the “ESI Highly Cited Papers,” and 4 of them
have become s “Hot Paper” in Computer Science fields. Dr. Bhuiyan was also recognized as the -
-"World’s Rising Stars of Science"-- in 2022-2023 by Research.com. He has served as a Lead
Guest Editor and Associates Editor for key journals, including IEEE TII, ACM TOMM, ACM CPS,
IEEE IoT-J, Information Sciences, FGCS, ACCESS, JPDC, and MTAP. He has also served as the
general chair, program chair, workshop chair, publicity chair, TPC member, and reviewer of
various international journals/conferences. He is a general chair for IEEE DASC 2020 and a
program chair for IEEE TrustCom 2020 and 2022, IEEE CSCloud 2022, and IEEE iSCI 2021. He has
received 6 Best Paper Awards and the IEEE TCSC Early Career Researcher (2016-2017), the IEEE
Outstanding Leadership Award (2018-2022), and Service Award (2019-2021). He is a senior
member of IEEE and a member of ACM.

Dependability, Cybersecurity, Data Trustworthiness, Data Quality 

• IoT/CPS Applications
• Big Data, Cloud, Networked and Distributed Sensing Systems