Alvi Ataur Khalil's headshot

Alvi Ataur Khalil

Assistant Professor
a.khalil@siu.edu
618-453-4656
Engineering A 409F
Computer Science
Dr. Alvi Ataur Khalil is a tenure-track Assistant Professor in the Department of Computer Science, School of Computing, at Southern Illinois University Carbondale, USA. He completed his Ph.D. in Electrical and Computer Engineering at Florida International University (FIU), USA, in 2025. He received his M.S. degree in Computer Engineering from FIU in 2024, and his B.Sc. degree in Computer Science and Engineering from Khulna University of Engineering and Technology (KUET), Bangladesh, in 2018. From 2018 to 2019, he worked as a Software Developer at MazeGeek Technologies BD Ltd., Dhaka, Bangladesh, and served as a Lecturer at Daffodil International University. From 2020 to 2025, he was a Graduate Assistant at the Analytics for Cyber Defense (ACyD) Lab at FIU, contributing to research projects funded by the National Science Foundation (NSF), the National Security Agency (NSA), and the Department of Energy (DOE). Dr. Khalil's research focuses on blockchain security, particularly off-chain Layer-2 vulnerabilities and defenses, intelligent UAV control using reinforcement learning, and AI-driven cybersecurity solutions for cyber-physical systems. He has authored over twenty peer-reviewed papers published in leading venues, including IEEE TNSM, Elsevier Computer Networks, IEEE/IFIP DSN, ACSAC, EAI SecureComm, IEEE CNS, ACM DLT, IEEE LCN, CNSM, IEEE SMARTCOMP, and IEEE COMPSAC. He is a recipient of several awards, including the Outstanding Graduate Scholar of the Year at FIU (2023–24), the Upsilon Pi Epsilon (UPE) Honor Society Scholarship (2024), the FIU Dissertation Year Fellowship (2025), NSF I-Corps Grant as Entrepreneur Lead, and multiple NSF and IEEE travel awards.

Education:

  • Ph.D. in Electrical and Computer Engineering: Florida International University (FIU), USA, 2025

Current Research:

Cybersecurity

Reinforcement Learning

Blockchain

Game Theory

Intrusion Detection

Formal Verification

Zero-Knowledge Techniques

Principle Investigator: Transformative Innovation for Trustworthy AI and Network Security (TITANS) Lab