Abbas Yazdinejad

Contact Info

Research interests

Dr. Yazdinejad’s research lies at the intersection of cybersecurity and artificial intelligence, with a focus on decentralized and privacy-preserving learning systems for security-critical infrastructures. His interests include AI-driven threat detection and threat hunting, federated and decentralized learning, federated unlearning, and privacy-preserving machine learning using cryptographic techniques. He works on the security and robustness of autonomous and agentic AI systems, including large language models, as well as blockchain- and Web3-based security architectures for IoT, Industrial IoT, and cyber-physical systems. His research also explores quantum machine learning (QML) and quantum-inspired computing approaches for secure and resilient AI systems, alongside AI governance and the trustworthy deployment of intelligent systems for critical infrastructure.

Education

Dr. Abbas Yazdinejad joins the Department of Computer Science at the University of Regina after completing postdoctoral research in artificial intelligence and autonomous cybersecurity at the University of Toronto and the University of Guelph. He received his Ph.D. in Computational Sciences with a focus on cybersecurity from the University of Guelph and holds B.Sc. and M.Sc. degrees in Computer Engineering.