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Abbas Yazdinejad, University of Regina
Toward Human-Aware Autonomous Cyber Defense: Cognitive–Physiological Intelligence for Adaptive Security Operations
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Schedule At a Glance (EST)
Toward Human-Aware Autonomous Cyber Defense: Cognitive–Physiological Intelligence for Adaptive Security Operations
Toward Human-Aware Autonomous Cyber Defense: Cognitive–Physiological Intelligence for Adaptive Security Operations
Abbas Yazdinejad, University of Regina
Abbas Yazdinejad, University of Regina
Mar. 31, 2026, 10 am EST
Mar. 31, 2026, 10 am EST
Web: https://www.uregina.ca/science/computer-science/directory/yazdinejad-abbas.html
Abstract: This talk presents a human-aware approach to autonomous cyber defense that integrates cognitive modeling and multimodal physiological intelligence into adaptive security operations. We introduce a cognitive–physiological synchronization framework that enables security systems to infer analyst stress and decision capacity in real time, and dynamically adapt monitoring, assistance, and response policies accordingly. Through a combination of Bayesian cognitive updating, temporal reasoning, and cognitive agent modeling, the framework supports resilient and uncertainty-aware security operations in IoT and cyber-physical environments. Experimental results demonstrate improved decision stability, reduced false escalations, and enhanced operational resilience under high-stress conditions. The talk concludes by outlining a broader roadmap toward human-centered autonomous cybersecurity systems.
Bio: Abbas Yazdinejad, Ph.D., is an Assistant Professor in the Department of Computer Science at the University of Regina and the Director of the Decentralized Cybersecurity & Artificial Intelligence Lab (DCAILab). He is also a Balsillie Scholar at the Balsillie School of International Affairs (BSIA), Waterloo, Canada. He has been recognized among the World’s Top 2% Scientists (Stanford University ranking). His research focuses on artificial intelligence and machine learning for critical, safety- and security-sensitive applications, with particular emphasis on agentic AI systems, large language model (LLM) security and governance, autonomous cybersecurity, privacy-preserving machine learning, federated learning, Internet of Things (IoT) and Industrial IoT, and quantum computing.
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