Abstract: Recent advances in sensing, communication, and computing have significantly enhanced the accessibility and integration of Cyber-Physical Systems (CPS), which are often constrained by stringent timing requirements and scalability challenges. This talk presents my Ph.D. research on enhancing CPS resilience and security. To improve temporal resilience, I developed real-time scheduling methods using a mixed-criticality system model and created dynamic priority schedulers for the Robot Operating System (ROS 2). On the security front, I designed backdoor-resilient algorithms to enable secure use of pretrained machine learning models in resource-constrained CPS, addressing vulnerabilities associated with both in-domain and different than the inference domain pretrained models.

Short Bio: Abdullah is a Computer Science Ph.D. candidate at NC State University, advised by Dr. Zhishan Guo. His research interests include real-time systems, robust learning, and cyber-physical systems.