Reza Ebrahimi
Scholar

Reza Ebrahimi

Google Scholar ID: fFfNnJA7n38C
University of South Florida
Secure and Trustworthy AIAI-enabled CybersecurityStatistical Machine Learning
Citations & Impact
All-time
Citations
891
 
H-index
16
 
i10-index
23
 
Publications
20
 
Co-authors
12
list available
Contact
Resume (English only)
Academic Achievements
  • 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.