Sajedul Talukder

Dr. Sajedul Talukder is an Assistant Professor in the Department of Computer Science at The University of Texas at El Paso (UTEP), directing the SUPREME Lab. He holds a Ph.D. in Computer Science from Florida International University (2019) and has held prior faculty positions at Southern Illinois University (2021-2024) and Pennsylvania Western University (2019-2021).

Education:

• Ph.D. in Computer Science, Florida International University (2019)
• M.S. in Computer Science, Florida International University (2018)
• B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2014)

Research Interests: Focuses on cybersecurity, privacy-enhanced machine learning, and AI-driven solutions for social good. Key areas include:

• Security and privacy in online systems
• Abuse detection in social networks
• Quantum security and distributed systems
• Federated learning for healthcare and industrial IoT

His work emphasizes practical applications like AI for nuclear plant cybersecurity and mitigating sockpuppet attacks.

Recent Article Trends: Recent publications highlight advancements in federated learning frameworks (e.g., SAFARI, FLASH), context-aware emotion detection (CAMERA), and AI-driven nuclear facility security (ContextGPT, AML-TIN). These contributions address privacy, scalability, and real-time threat monitoring.

Awards & Grants:

• $500K NRC grant (2024) for AI-driven nuclear plant cybersecurity
• NSF CISE CRII Award ($157K) for sockpuppet defense
• IMEC/NIST grant ($99K) for industrial IoT security
• Best Paper Awards (ICEEICT 2014, ACM SAC 2022)

Advising & Labs: Mentored over 40 students (K-12 to Ph.D.), including 2 recent M.S. graduates. Leads SUPREME Lab and affiliated with UTEP AI Institute and NSF IDEAS Center. Active in program committees for ASONAM, ICWSM, and CHI.