Sajedul Talukder

Research Expertise

Dr. Talukder is an Assistant Professor in the Department of Computer Science at the University of Texas at El Paso (UTEP) and serves as the director of the Security and Privacy Enhanced Machine Learning Lab (SUPREME Lab). His research group focuses on developing privacy-enhanced secure systems with applications in AI and machine learning. He is also a member of the NSF IUCRC Center for Intelligent, Distributed, Embedded Applications and Systems (IDEAS) and the Center for Research and Education in AI and Cybersecurity (CARE-AI-C). His current research interests include security and privacy with applications in online and geosocial networks, machine learning, wireless networks, distributed systems, and mobile applications.

Widely cited in books and research papers, Dr. Talukder’s work has been funded by leading federal agencies, including the National Science Foundation (NSF), U.S. Nuclear Regulatory Commission (NRC), National Institute of Standards and Technology (NIST), Cyber Florida, and the Florida Center for Cybersecurity. Dr. Talukder has been awarded prestigious funding, including a $500,000 NRC grant for AI-driven Real-Time Cyber Threat Monitoring in U.S. nuclear plants, a $157,888 NSF CRII award under the Secure and Trustworthy Cyberspace (SaTC) program for defending against sockpuppet attacks in social networks, and a $99,102 Illinois Manufacturing Excellence Center (IMEC) award from NIST for cybersecurity integration in industrial IoT environments. Before joining UTEP, Dr. Talukder was a tenure-track Assistant Professor of Computer Science at Southern Illinois University Carbondale and Pennsylvania Western University (PennWest). He was nominated for PennWest's Scholar of the Year in 2020 and received SIU's University-Level Early Career Faculty Excellence Award in 2022 and 2024.

Dr. Talukder has authored over hundred (100) peer-reviewed publications in reputed journals and top-tier conferences, including ACM TSC, Nature Scientific Reports, ANS Transactions, ASONAM, ACM SAC, ICWSM, ACM CHI, ACM WebSci, ICMLA, COMPSAC, and IEEE DSC. His research has received significant media attention, including features on prominent national and international platforms. NBC 6 showcased his research as a sweeps prime-time story, and Sage Research Methods, based in the UK, has made his research methods available for academic libraries, supporting students and early-career researchers. His work has won multiple best paper awards and garnered several research travel grants, including an invitation from Facebook Research to their headquarters.

An active member of IEEE and a lifetime member of ACM, Dr. Talukder has contributed extensively to the research community. He has served or is serving on editorial boards and review panels for journals such as ACM Transactions on Service Computing (TSC), IEEE Transactions on Computational Social Systems (TCSS), Springer Nature, KSII Transactions on Internet and Information Systems (TIIS), Applied Sciences Journal, Frontiers in Human Dynamics, Big Data and Cognitive Computing (BDCC), and Nature Scientific Reports. He actively participates in program committees for major conferences, including the ACM Conference on Human Factors in Computing Systems (CHI), Advanced Social Network Analysis and Mining (ASONAM), International AAAI Conference on Web and Social Media (ICWSM), ACM Symposium on Applied Computing (SAC), ACM Asian Conference on Computer and Communications Security (ASIACCS), IEEE Computer Software and Applications Conference (COMPSAC), EAI International Conference on Security and Privacy in Communication Systems (SecureComm), IEEE Symposium on Computational Intelligence in Cyber Security (CICS), IEEE International Conference on Networking Systems and Security (NSysS), and ACL Workshops on Abusive Language Online and Online Abuse and Harms (WOAH).

Dr. Talukder has mentored over forty students, including K-12 high school teachers, undergraduate students, and graduate students, through programs such as the Science without Borders Summer Research Program, NSF’s Research Experience for Undergraduates (REU), and NSF’s Research Experience for Teachers (RET). His dedication to education and research continues to impact students and the academic community profoundly.