Vahid Behzadan
About
Vahid Behzadan is an Associate Professor in Computer Science and Data Science. He is also the founder and director of the Secure and Assured Intelligent Learning (SAIL) research group, and mentors the University's hacking team. Dr. Behzadan's research is primarily on the safety and security of artificial intelligence and complex adaptive systems. His pioneering work on the security of deep reinforcement learning is recognized as seminal contributions to this growing field of research. Dr. Behzadan's recent work includes publications on the applications of machine learning to security and safety assessment of complex systems, such as driverless cars, unmanned aerial systems, and smart cities. He has presented numerous invited talks on the security of machine learning, and applications of data science in cybersecurity at venues such as the Open Web Application Security Project (OWSAP) foundation, the Black Hat conference, and UK's Transportation Research Laboratory (TRL). His research on the psychopathological approach to AI safety has been featured in national and international news.
Research Performance Summary
First Recorded Paper
A novel utilization of cluster-tree wireless sensor networks for situation awareness in smart grids
Year: 2011
Citations: 12
Venue: 2011 IEEE PES Innovative Smart Grid Technologies
Latest Recorded Paper
VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models
Year: 2025
Citations: 0
Venue: arXiv preprint arXiv:2507.00052
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.