Witty Quote

“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it." – Eliezer Yudkowsky

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 privacy-enhanced secure systems with machine learning applications. I am also an affiliated faculty member of the UTEP AI Institute for Community-Engaged Research (AI-ICER), NSF IUCRC Center for Intelligent, Distributed, Embedded Applications and Systems (IDEAS) and Center for Research and Education in AI and Cybersecurity (CARE-AI-C). My current research interests include security and privacy in online systems, AI/ML, online social networks, cyber-physical and distributed systems, quantum security, and AI for social good. My research has received significant funding from 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. Notable awards include a $500,000 U.S. NRC grant for AI-driven cybersecurity in U.S. nuclear plants, a NSF CISE CRII Award under the Secure and Trustworthy Cyberspace (SaTC) program for AI-based defense against sockpuppet attacks in social networks, and a $99,000 IMEC Award from NIST for cybersecurity integration in industrial IoT environments. 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.

I have authored over one hundred (100+) peer-reviewed publications in leading venues such as ACM TSC, Nature Scientific Reports, ANS Transactions, ASONAM, ACM SAC, ICWSM, ICMLA, ACM CHI, ACM WebSci, COMPSAC, IEEE DSC, and my research has received media attention from many news outlets including prominent national and international outlets such as NBC, KMOV TV, and Sage Methods. NBC 6 has featured my research as a sweeps prime-time story and Sage Research Methods based on UK has made my research methods available to academic libraries for subscription or purchase aimed at helping students and early career researchers. I am the recipient of several research travel grants and have been invited by Facebook Research to their HQ. My paper has won best paper award on multiple occasions. I am an active member of IEEE and lifetime member of ACM. I have served/am serving on the 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. Additionally, I am actively involved in program committees of prominent conferences including 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). I have mentored over 40 students, including K-12 high school teachers, undergraduate students, and graduate students in several programs, such as Science without Borders’s Summer Research Program, NSF’s Research Experience for Undergraduates (REU), and NSF’s Research Experience for Teachers (RET).

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

Professional Experience
  • Assistant Professor
    (August 2024 - Current)
    The University of Texas at El Paso
  • Assistant Professor
    (June 2021 - July 2024)
    Southern Illinois University
  • Assistant Professor
    (May 2019 - May 2021)
    Pennsylvania Western University
  • Graduate Research/Teaching Assistant
    (Aug 2014 - Apr 2019)
    Florida International University
  • Software Engineer, Intern
    (Oct 2013 - Jan 2014)
    Samsung R&D Institute, Bangladesh
  • Software Engineer, Intern
    (Jan 2012 - Jan 2013)
    Ministry of Foreign Affairs, Bangladesh

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
I am awarded a $500,000 U.S. Nuclear Regulatory Commission (NRC) grant on “Real-Time cyber threat monitoring.” With this grant, I will hire a new Ph.D. student (US citizen or Permanent Resident).
Hurray! Eight of our papers got accepted in ASONAM 2024, one of the top tier 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).
Five papers published in ANS Transactions at 2024 ANS Annual Conference.
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!
One 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 top tier 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's Computer and Information Science and Engineering (CISE) CRII award of $157,888 as sole-PI from the Division of Computer and Network Systems this year. This highly competitive and prestigious grant will allow me to support multiple Ph.D. students for several years.
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 paper "Giving Up Privacy For Security: A Survey On Privacy Trade-off During Pandemic Emergency" has been accepted in the journal IJCIS 2020.
Our paper "A Survey on Malware Detection and Analysis Tools" has been published in the journal IJNSA 2020.
My paper "Towards Understanding Privacy Trade-off In An Epidemic" has been accepted in the ACM CCSC 2020.
My paper "Privacy and Security Vulnerabilities in Health Care Infrastructure Mobile Technology" has been accepted in the ACM CCSC 2020.