Roozbeh Razavi-Far
Research interests
- Trustworthy and Secure AI: Adversarial Machine Learning and AI for Security
- Machine Learning: Self-Adaptive Learning and Federated Transfer Learning
- Quantum Adversarial Machine Learning and Decision Making under Uncertainty
- Data Science: Big Data Processing and Statistical Learning
- Artificial Intelligence: Dependable and Responsible AI Systems
- Cybernetics in Cyber-Physical Systems (CPS) and Internet of Things (IoT)
- Cybersecurity: Security Monitoring and Cyber Threat Hunting
Roozbeh Razavi-Far is an Associate Professor in the Faculty of Computer Science and Director of Trustworthy and Secure AI (TSAI) Lab, at the University of New Brunswick.
He has authored or co-authored more than 200 papers in scholarly journals and international conferences. In 2025, Stanford listed him among the top two percent of most-cited researchers for the third consecutive year. He is the recipient of several awards and grants including NSERC-DG, NSERC-ECR, NBIF, NCC R&D, USRG, MITACS, and NSERC-PDF.
Roozbeh serves as an associate editor for several journals, including Neurocomputing, Machine Learning and Knowledge Extraction, Machine Learning with Applications, Discover Artificial Intelligence, IEEE Access, and IEEE Transactions on Industrial Cyber-Physical Systems. He has also been a guest editor and chair for various journals and peer-reviewed conferences and served as the chapter chair for the IEEE Computational Intelligence Society and the IEEE Systems, Man, and Cybernetics Society at the Windsor Section.
He was the Director of the Learning System and Cybernetics Group at the University of Windsor between 2016 and 2022. His PhD and MASc students received various awards including NSERC Alexander G. Bell Canada Graduate Scholarships, MITACS and Ontario Graduate Scholarships (OGS).
