Sajedul Talukder
Assistant ProfessorComputer Science
Office Room: 3.0502
Phone: (915) 747-8819
Email: stalukder@utep.edu
Dr. Sajedul Talukder is an Assistant Professor of Computer Science at the University of Texas at El Paso and director of the Security and Privacy Enhanced Machine Learning (SUPREME) Lab. He is affiliated with UTEP’s Institute for Applied AI Innovation, the NSF IUCRC Center for Intelligent, Distributed, Embedded Applications and Systems, and the Computing Alliance of Hispanic-Serving Institutions. His research focuses on security and privacy, trustworthy and adversarial AI, online abuse and deception, online social networks, cyber-physical systems, and AI-enabled cybersecurity for nuclear systems and infrastructure. Dr. Talukder has authored over 130 peer-reviewed publications in leading venues such as ACM TSC, npj Artificial Intelligence, PoPETs/PETS, ICWSM, ICLR, AAAI Symposium, HyperText, CIKM, ASONAM, ACM SAC, ICMLA, ACM CHI Journals, ACM WebSci, COMPSAC, IEEE DSC, Nature Scientific Reports, and ANS Transactions. His research has received support from federal agencies and industry partners, including a $500,000 NRC grant for real-time cyber-threat monitoring; a $157,888 solo-PI NSF CISE CRII Award under the Secure and Trustworthy Cyberspace program for defending against connection attacks in social networks; a $99,102 NIST-sponsored IMEC Award for industrial IoT cybersecurity integration; and an IBM Quantum–IIDAI grant. His work has received extensive coverage from national, regional, and international news outlets, including Yahoo, MSN, NBC, CBS, KFOX, KMOV, and Sage Research Methods. He is a member of IEEE and the American Nuclear Society and a lifetime ACM member. He has mentored more than 40 students and teachers and was recognized as a UTEP Pioneering Researcher in 2026 for his contributions to trustworthy and adversary-resilient AI and cybersecurity. He also received UTEP’s 2025 Student Choice High Impact and Innovative Teaching Award, the university’s only institution-wide teaching award selected entirely by students. His earlier honors include nominations for the Rising Star Faculty Award in 2024, Southern Illinois University’s University-Level Early Career Faculty Excellence Award in 2022 and 2024, and PennWest’s Scholar of the Year Award in 2020.
No info available.
| Term | Course | Section | Syllabus |
|---|---|---|---|
| Fall 2026 | CS 4316 - Computer Networks | 15666 | Syllabus |
| Fall 2026 | CS 5313 - Computer Networks | 15667 | Syllabus |
| Fall 2026 | CS 6399 - Dissertation | 18565 | |
| Fall 2026 | CS 6194 - Doctoral Research | 18518 | |
| Fall 2026 | CS 6294 - Doctoral Research | 16678 | |
| Fall 2026 | CS 6394 - Doctoral Research | 18243 | |
| Fall 2026 | CS 6694 - Doctoral Research | 16679 | |
| Fall 2026 | CS 5391 - Individual Studies | 16842 |
| Term | Course | Section | Syllabus |
|---|---|---|---|
| Spring 2026 | CS 4316 - Computer Networks | 21623 | Syllabus |
| Spring 2026 | CS 5313 - Computer Networks | 23850 | Syllabus |
| Spring 2026 | CS 6398 - Dissertation | 28654 | |
| Spring 2026 | CS 6294 - Doctoral Research | 26829 | |
| Spring 2026 | CS 6394 - Doctoral Research | 28697 | |
| Spring 2026 | CS 6694 - Doctoral Research | 26688 | |
| Fall 2025 | CS 4316 - Computer Networks | 16896 | Syllabus |
| Fall 2025 | CS 5313 - Computer Networks | 16898 | Syllabus |
| Fall 2025 | CS 4371 - Computer Science Problems | 18610 | |
| Fall 2025 | CS 6294 - Doctoral Research | 18409 | |
| Fall 2025 | CS 6694 - Doctoral Research | 18410 | |
| Fall 2025 | CS 5391 - Individual Studies | 18591 | |
| Spring 2025 | CS 5352 - Computer Security | 21027 | Syllabus |
| Spring 2025 | CS 6352 - Computer Security | 26958 | Syllabus |
| Spring 2025 | CS 6294 - Doctoral Research | 28390 | |
| Fall 2024 | CS 5390 - Special Topic Computer Science | 17723 | Syllabus |
| Fall 2024 | CS 4390 - Special Topics in Computer Sci | 17722 | Syllabus |
| Term | Course | Section | Evaluation |
|---|---|---|---|
| Spring 2026 | CS 4316 - Computer Networks | 21623 | Evaluation |
| Spring 2026 | CS 5313 - Computer Networks | 23850 | Evaluation |
| Fall 2025 | CS 4316 - Computer Networks | 16896 | Evaluation |
| Fall 2025 | CS 5313 - Computer Networks | 16898 | Evaluation |
| Spring 2025 | CS 5352 - Computer Security | 21027 | Evaluation |
| Spring 2025 | CS 6352 - Computer Security | 26958 | Evaluation |
| Fall 2024 | CS 5390 - Special Topic Computer Science | 17723 | Evaluation |
| Fall 2024 | CS 4390 - Special Topics in Computer Sci | 17722 | Evaluation |
Dr. Sajedul Talukder is an Assistant Professor of Computer Science at the University of Texas at El Paso and director of the Security and Privacy Enhanced Machine Learning (SUPREME) Lab. He is affiliated with UTEP’s Institute for Applied AI Innovation, the NSF IUCRC Center for Intelligent, Distributed, Embedded Applications and Systems, and the Computing Alliance of Hispanic-Serving Institutions. His research focuses on security and privacy, trustworthy and adversarial AI, online abuse and deception, online social networks, cyber-physical systems, and AI-enabled cybersecurity for nuclear systems and infrastructure. Dr. Talukder has authored over 130 peer-reviewed publications in leading venues such as ACM TSC, npj Artificial Intelligence, PoPETs/PETS, ICWSM, ICLR, AAAI Symposium, HyperText, CIKM, ASONAM, ACM SAC, ICMLA, ACM CHI Journals, ACM WebSci, COMPSAC, IEEE DSC, Nature Scientific Reports, and ANS Transactions. His research has received support from federal agencies and industry partners, including a $500,000 NRC grant for real-time cyber-threat monitoring; a $157,888 solo-PI NSF CISE CRII Award under the Secure and Trustworthy Cyberspace program for defending against connection attacks in social networks; a $99,102 NIST-sponsored IMEC Award for industrial IoT cybersecurity integration; and an IBM Quantum–IIDAI grant. His work has received extensive coverage from national, regional, and international news outlets, including Yahoo, MSN, NBC, CBS, KFOX, KMOV, and Sage Research Methods. He is a member of IEEE and the American Nuclear Society and a lifetime ACM member. He has mentored more than 40 students and teachers and was recognized as a UTEP Pioneering Researcher in 2026 for his contributions to trustworthy and adversary-resilient AI and cybersecurity. He also received UTEP’s 2025 Student Choice High Impact and Innovative Teaching Award, the university’s only institution-wide teaching award selected entirely by students. His earlier honors include nominations for the Rising Star Faculty Award in 2024, Southern Illinois University’s University-Level Early Career Faculty Excellence Award in 2022 and 2024, and PennWest’s Scholar of the Year Award in 2020.
No info available.