• Ph.D. in Computer Science, State University of New York (SUNY) at Stony Brook
• M.S. in Computer Science, State University of New York (SUNY) at Stony Brook
• B.Tech. in Electronics Engineering, Indian Institute of Technology, Varanasi

Rakesh Verma is Moores Professor of Computer Science at the University of Houston (UH), where he pioneered a Security Analytics course over a decade ago. He received UH's 2013 Lifetime Mentoring Award for his extensive mentoring of undergraduate students in research. He is the author/co-author of 165+ peer-reviewed publications in leading venues, such as IEEE FOCS, IJCAI, AAAI, JACM, SICOMP, SIGIR, CCS, etc., and the book "Cybersecurity Analytics" (CRC Press, 2019). His latest book is "Life: A User's Manual" (Amazon, 2026). He is a cybersecurity section associate editor of the Frontiers in Big Data journal; and a co-organizer of the ACM Annual International Workshop on Security and Privacy Analytics (IWSPA) since 2015. His research has won many best paper awards and his teams have won first place awards in international competitions. His research interests include formal methods (especially equational logic programming), algorithm design and analysis, AI, and computer security. His research has been funded by the National Science Foundation, the Fulbright Foundation, the Department of Defense, the US Department of Transportation, and the Office of Naval Research, and several companies. He received a B. Tech (Gold Medal, highest honors) in Electronics Engineering from IIT Varanasi and MS/PhD in Computer Science from SUNY Stony Brook, USA, where he was a Catacosinos Fellow.

• Moores Professor, University of Houston
• Lifetime Senior Member, IEEE
• Sabbatical Leave Fellowship, Office of Naval Research
• Fulbright-NSF Distinguished Scholar in CyberSecurity and Critical Infrastructure
• Undergraduate Research Mentor Award, University of Houston

1. Scam Augmentation and Customization: Identifying Vulnerable Users and Arming Defenders, S Baki, R Verma, O Gnawali, Proceedings of the 15th ACM Asia Conference on Computer and Communications (ASIACCS), 2020
2. Sixteen years of phishing user studies: What have we learned? S Baki, RM Verma, IEEE Transactions on Dependable and Secure Computing (TPDSC) 20 (2), 1200-1212, 2022
3. Rebutting rebuttals, N Dershowitz, RM Verma, Communications of the ACM (CACM) 66 (9), 35-41, 2023
4. Domain-independent deception: a new taxonomy and linguistic analysis RM Verma, N Dershowitz, V Zeng, D Boumber, X Liu, Frontiers in Big Data 8, 1581734, 2025
5. Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance, BE Tuck, RM Verma, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 40 (31), 26019, 2026