Witty Quote

“If you think technology can solve your security problems, then you don't understand the problems and you don't understand the technology." – Bruce Schneier

I am an Assistant Professor in the Department of Computer Science at the University of Texas at El Paso (UTEP). I serve as the director of the Security and Privacy Enhanced Machine Learning Lab (SUPREME Lab), where my group develops secure and privacy-enhancing systems with machine learning applications. I am also an affiliated faculty member of the Institute for Applied AI Innovation (AAII), the NSF IUCRC Center for Intelligent, Distributed, Embedded Applications and Systems (IDEAS), and the Computing Alliance of Hispanic-Serving Institutions (CAHSI). My research focuses on the foundations of trustworthy and adversary-resilient AI, spanning security and privacy in online ecosystems, adversarial machine learning, human-centered deception mitigation, federated and distributed learning, and AI-driven cybersecurity for cyber-physical and nuclear instrumentation and control (I&C) systems. My work has been supported by leading federal agencies, research organizations, and industry partners, including the National Science Foundation (NSF), U.S. Nuclear Regulatory Commission (NRC), National Institute of Standards and Technology (NIST), Cyber Florida (Florida Center for Cybersecurity), and IBM Quantum–IIDAI. Selected externally funded projects and awards include a $500,000 U.S. Nuclear Regulatory Commission (NRC) grant for AI-driven cybersecurity in U.S. nuclear power plants, an NSF CRII Award under the Secure and Trustworthy Cyberspace (SaTC) program for AI-based defenses against sockpuppet attacks in online social networks, a NIST IMEC project for cybersecurity integration in industrial IoT and smart manufacturing environments, and an IBM Quantum–IIDAI grant for developing AI-driven and quantum-enhanced operator-learning methods to accelerate complex scientific computations. Previously, I served as a tenure-track Assistant Professor of Computer Science at Southern Illinois University Carbondale (SIU) and, prior to that, at Pennsylvania Western University (PennWest). I was nominated for PennWest’s Scholar of the Year in 2020, SIU’s University-Level Early Career Faculty Excellence Award in 2022 and 2024, and the Rising Star Faculty Award in 2024. In 2026, I was recognized as a UTEP Pioneering Researcher for contributions to trustworthy and adversary-resilient AI and cybersecurity research. I was also awarded UTEP’s 2025 Student Choice High Impact and Innovative Teaching (HIIT) Award, recognizing excellence, exceptional impact, and innovation in teaching.

I have authored over 130 peer-reviewed publications in venues including npj Artificial Intelligence, ACM Transactions on Social Computing (TSC), PoPETs/PETS, ICWSM, ICLR, AAAI Symposium, ACM Hypertext, CIKM, ASONAM, ACM SAC, ICMLA, ACM CHI, ACM WebSci, IEEE COMPSAC, IEEE DSC, Scientific Reports, and Transactions of the American Nuclear Society. My research has received substantial scholarly citations and media attention from prominent national, regional, and international outlets, including NBC, CBS/KMOV, ABC/KVIA, KFOX, KTSM, Yahoo News, MSN, The Southern Illinoisan, El Paso Inc., Dhaka Tribune, El Heraldo de Juárez, and El Diario de El Paso. NBC 6 featured my research in a prime-time television segment. In addition, UK-based SAGE Research Methods incorporated my research methodology into academic library resources used to support students and early-career researchers worldwide. I have received multiple competitive research travel grants and was invited to the Facebook Research headquarters to showcase my work. My research has received multiple best-paper recognitions. I am an active member of IEEE, a member of the American Nuclear Society (ANS), and a lifetime member of ACM. I serve on editorial boards and/or as a reviewer for leading journals including IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security, ACM Transactions on Privacy and Security, ACM Transactions on Social Computing, ACM Transactions on Accessible Computing, IEEE Transactions on Computational Social Systems, and Scientific Reports, among others spanning security, privacy, artificial intelligence, and machine learning. Additionally, I have served on program committees and/or as a reviewer for premier conferences and venues including PoPETs/PETS, USENIX Security, AAAI, NeurIPS, ACM CHI, AAAI ICWSM, ASIACCS, ASONAM, ACM SAC, IEEE COMPSAC, SecureComm, IEEE CICS, NSysS, and ACL’s WOAH/ALW workshops, reflecting broad service across security, privacy, AI/ML, social computing, and networking communities. I have mentored over 40 students, teachers, and early-career researchers, including K–12 teachers, undergraduate students, and graduate students through programs such as the Science without Borders Summer Research Program, NSF Research Experiences for Undergraduates (REU), CAHSI LREU, and NSF Research Experiences for Teachers (RET).

Research & Teaching Excellence

Research Excellence

Recognized as a UTEP Pioneering Researcher 2026 for contributions to trustworthy and adversary-resilient AI and cybersecurity research.

Teaching Excellence

Recipient of UTEP’s 2025 Student Choice High Impact and Innovative Teaching (HIIT) Award , the university’s highest distinction for teaching excellence and the only award decided entirely by students, recognizing exceptional impact and innovation in education.


Education
  • Ph.D. in Computer Science (2019)
    School of Computing and Information Sciences
    Florida International University
  • M.S. in Computer Science (2018)
    School of Computing and Information Sciences
    Florida International University
  • B.S. in Computer Science and Engineering (2014)
    Bangladesh University of Engineering and Technology (BUET)

Dr. Sajedul Talukder
Announcements
I have multiple fully-funded Ph.D. positions available. Strongly motivated students with solid background who are interested in security, privacy, machine learning, and social network research who want be a part of our Security and Privacy Enhanced Machine Learning Lab (SUPREME Lab) should contact me at stalukder [AT] utep.edu.
Latest News
Our paper on Agentic Physical AI for Nuclear Reactor Control was published in Nature's npj Artificial Intelligence, one of the AI flagship journals (acceptance rate <10%), introducing the first framework in the nuclear and broader energy domain to unify agentic AI, physical AI, and a domain-specific foundation model. [Paper]
My first Ph.D. student, Dr. Sai Puppala, successfully defended his dissertation and joined New Mexico Tech as a tenure-track Assistant Professor in the Department of Computer Science and Engineering.
We received a $178,596 IBM Quantum–IIDAI grant to develop AI-driven and quantum-enhanced operator-learning methods for accelerating complex scientific computations.
I received a competitive travel grant to attend the NSF NAIRR Pilot Expansion Conference in Portland, Oregon, focused on advancing access to national AI research infrastructure and resources.
I served as a panelist for the National Science Foundation (NSF) Secure and Trustworthy Cyberspace (SaTC) program, contributing to the evaluation of research proposals in cybersecurity and trustworthy computing.
Four of our papers on Agentic AI were accepted as Full Papers at the AAAI 2026 (Summer Symposium).
Recognized as a UTEP Pioneering Researcher 2025 for contributions to trustworthy and adversary-resilient AI and cybersecurity research.
Our paper got accepted in ICLR 2026, a top-tier premier AI/ML conference.
I am awarded UTEP’s 2025 Student Choice High Impact and Innovative Teaching (HIIT) Award — the university’s highest distinction for teaching excellence.
Our paper got accepted in PoPETs/PETS 2025, one of the top tier conferences in Privacy and Security.
Our paper got accepted in HyperText 2025, one of the top tier conferences in Human-Computer Interaction and Social Media.
Our paper got accepted in CIKM 2025, one of the top tier conferences in Information and Knowledge Management.
Six of our papers got accepted in NPIC&HMIT 2025, one of the top tier conferences in Nuclear Plant Instrumentation and Control and Human-Machine Interface Technology.
Five of our papers got accepted in ASONAM 2025, one of the leading conferences in social network analysis.
I joined a prestigious national expert panel at the 2024 American Nuclear Society (ANS) Annual Meeting, alongside faculty and senior researchers from UIUC, Purdue University, and Idaho National Laboratory (INL).
Hurray! Eight of our papers got accepted in ASONAM 2024, one of the leading conferences in social network analysis.
I will join cs@UTEP as an Assistant Professor.
Five of our papers got accepted in the 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2024).
Our paper got accepted in the 18th International AAAI Conference on Web and Social Media (ICWSM 2024), a premier, top-tier conference specializing in computational social science and social computing.
Five papers published in ANS Transactions at 2024 ANS Annual Conference.
I advised CyberSalukis, a graduate student cybersecurity team that placed 16th nationally at the U.S. Department of Energy CyberForce Competition, outperforming more than 140 teams from 108 institutions; the team ranked 4th among Illinois universities.
SUPREME Lab graduate student Alaa Alotaibi successfully defends his M.S. thesis. Congratulations!
SUPREME Lab graduate student Saika Zaman successfully defends her M.S. thesis. Congratulations!
Our paper got accepted in 2023 IEEE Conference on Dependable and Secure Computing (DSC).
Two book chapters published in the book "Building Cybersecurity Applications with Blockchain and Smart Contracts" by Springer.
Three of our papers got accepted in ACM/IEEE ASONAM 2023, one of the leading conferences in social network analysis.
Seven of our book chapters got published in the book "Data-driven approaches to Medical Imaging" by Springer.
I was contacted by KMOV (Channel 4), a prominent television station in St. Louis, Missouri, affiliated with CBS and MyNetworkTV to provide expert opinion on cybersecurity and ransomware.
Two papers published in ANS Transactions in ANS Winter Conference and Expo 2023.
Paper published in IEEE Symposium Series on Computational Intelligence (SSCI 2023).
Paper published in IEEE International Conference on Systems, Man, and Cybernetic (SMC 2023).
Two papers published in IEEE International Conference on AI in Cybersecurity (ICAIC 2023).
Two book chapters published in the book "Blockchain and Smart-Contract Technologies for Innovative Applications" by Springer.
I have received the NSF Computer and Information Science and Engineering (CISE) CRII award totaling $157,888 as sole Principal Investigator from the Secure and Trustworthy Cyberspace (SaTC) program. The award and associated research were featured by multiple news outlets, including The Southern Illinoisan, SIU News, Journal-Courier, SIU Alumni Magazine, and National Cybersecurity News.
I have received the Illinois Manufacturing Excellence Center (IMEC) award for our project titled from NIST via IMEC this year. The project's goal is to setup a testbed called RAPID for IoT and Cybersecurity integration in the small and medium manufacturing industry of Illinois in an effort to enable transitioning to smart manufacturing.
My Book Chapter titled "GPU-based Medical Image Segmentation: Brain MRI Analysis Using 3D Slicer" will be published in the book “Artificial Intelligence Applications for Health Care" by Taylor & Francis (CRC Press) in April 2022.
Our Book Chapter titled "Protecting Location Privacy in Blockchain-based Mobile Internet of Things" will be published in the book “Principles and Practice of Blockchains" by Springer Nature Switzerland AG.
Our paper "User Awareness and Defenses Against Sockpuppet Friend Invitations in Facebook", has been accepted in the ACM/SIGAPP Symposium on Applied Computing (ACM SAC).
Our paper "A novel index-based decision support toolkit for safe reopening following a generalized lockdown in low and middle-income countries" has been accepted in Nature Scientific Reports (6th most-cited journal in the world, with over 540,000 citations in 2020).
Our paper "A Study of Friend Abuse Perception in Facebook" has been invited for presentation in ACM CHI Journals (most prestigious HCI venue).
Our paper "CovFilter: a low-cost portable device for the prediction of COVID-19 for resource-constrained rural communities" has been accepted in the Journal of Artificial Intelligence & Applications.
Our paper "Evaluating Machine Learning Models for Handwriting Recognition-based Systems under Local Differential Privacy" has been accepted in IEEE International Conference on Innovations in Intelligent Systems and Applications Conference (IEEE ASYU).
Our paper "A Template for Alternative Proof of Work for Cryptocurrencies" has been accepted in IEEE International Conference on Smart Generation Computing, Communication and Networking (IEEE SMARTGENCON).
Our paper "A Study of Differentially Private Machine Learning in Healthcare" has been accepted in IEEE International Conference on Innovations in Intelligent Systems and Applications Conference (IEEE ASYU).
I will be joining SIU School of Computing as an Assistant Professor from Fall 2021.
Our paper "A Study of Friend Abuse Perception in Facebook" has been accepted in ACM TSC 2020 (one of the top social networking journals).
Our research on data-driven pandemic reopening strategies was covered by two international news outlets, including Dhaka Tribune and Phys.org , highlighting our development of the Large-Scale Reopening (LSR) index for balancing public health and economic recovery.