Published over 40 articles in peer-reviewed security journals, conferences, and workshops, including NeurIPS, ICLR, SIAM, IEEE TPAMI, IEEE TDSC, IEEE S&PW, IEEE ACSAC, AAAIW, IEEE ISI, IEEE ICDMW, Applied Artificial Intelligence, Digital Forensics, MIS Quarterly, and JMIS. His Ph.D. dissertation on AI-enabled cybersecurity analytics won the ACM SIGMIS best doctoral dissertation award in 2021. Multiple papers have been accepted to top conferences such as SIAM 2025, MIS Quarterly 2025, ICLR 2025, NeurIPS 2024, IEEE TDSC 2024, ACSAC 2024, etc.
Research Experience
Before joining USF, Reza was a research associate at the AI Lab in the University of Arizona. He is also a fellow of the Rapid7 Cyber Threat Intelligence Lab.
Education
Ph.D. in Management Information Systems from the University of Arizona, 2021; M.Sc. in Computer Science from Concordia University, Canada, 2016.
Background
Reza is an assistant professor and the director of Star-AI Lab at the School of Information Systems. His research focuses on statistical and adversarial machine learning for AI-enabled secure and trustworthy cyberspace.
Miscellany
Reza serves as a PC member in IEEE S&P Workshop on Deep Learning Security and Privacy 2023 and helps organize the IEEE ICDM Workshop on Machine Learning for Cybersecurity (MLC) 2023.