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About

Radoslav Ivanov is a researcher whose work sits at the intersection of cyber-physical systems (CPS), safety, and robotics. His research focuses primarily on making safety-critical systems resilient to attacks, sensor anomalies, and uncertainty — challenges that are increasingly vital as autonomous and embedded systems become more prevalent in the real world. Ivanov's most influential contribution, "Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems" (2016, 68 citations), addresses the vulnerability of multi-sensor systems to malicious attacks, proposing frameworks that preserve safe system operation even when a subset of sensors is compromised. This work has become a key reference in the CPS security community. His 2015 paper on context-aware filtering (14 citations) further demonstrates his commitment to robust estimation, introducing binary contextual information to improve state estimation under uncertainty. Beyond security and estimation, Ivanov has contributed to robotics tooling through ROSLab, a modular programming environment simplifying robotic application development, and more recently to fault recovery in hierarchical CPS through checkpointing and roll-forward recovery techniques. Collectively, his work reflects a sustained effort to build dependable, resilient autonomous systems — making him a valuable voice in both the CPS and robotics research communities.