Reza Ebrahimi is an Assistant Professor and the founder of Secure Trustworthy and Reliable (STAR)-AI Lab in the School of Information Systems at the University of South Florida. Reza received his Ph.D. in Management Information Systems from the University of Arizona, where he was a research associate at the Artificial Intelligence (AI) Lab in 2021. He received his master's degree in Computer Science from Concordia University, Canada, in 2016. His masters thesis leveraged crime data mining to enhance juveniles safety in cyberspace. His Ph.D. dissertation on AI-enabled cybersecurity analytics received the ICIS ACM SIGMIS best doctoral dissertation award in 2021. His current research is focused on statistical and adversarial machine learning theories for AI-enabled secure and trustworthy cyberspace. He has over 40 articles published in peer reviewed journals, conferences, and workshops including MIS Quarterly, JMIS, SIAM, NeurIPS, ICLR, IEEE TPAMI, IEEE TDSC, IEEE ACSAC, Applied Artificial Intelligence, Digital Forensics, IEEE S&PW, AAAIW, IEEE ICDMW, and IEEE ISI. He has served as a Program Chair and Program Committee member in IEEE ICDM Workshop on Machine Learning for Cybersecurity (MLC) since 2022 as well as the IEEE S&P Workshop on Deep Learning Security and Privacy (DLSP). He serves as an organizer of 2025 IEEE S&P Workshop on Human-Machine Intelligence for Security Analytics (HMI-SA). He has contributed to several projects supported by the National Science Foundation (NSF). He is an IEEE Senior Member and a member of the AIS, ACM, and AAAI.