Chung Hwan Kim

NEC (United States), The University of Texas at Dallas

Papers

Total Citations

H-Index

About

Chung Hwan Kim is a leading researcher in the security and safety of cyber-physical systems, with a particular focus on robotic and autonomous vehicles. His work sits at the critical intersection of control theory and software engineering, aiming to uncover and mitigate vulnerabilities before they can be exploited in the real world. Kim’s major contributions include pioneering control-guided testing methodologies, most notably through his highly cited work, "RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing" (2019, 39 citations). This paper introduced a novel approach to systematically identify input validation flaws that could lead to catastrophic failures. He further advanced the field with "MAYDAY" (2020, 7 citations), a framework that bridges the gap between control models and actual program code to investigate the root causes of robotic aerial vehicle accidents. By developing tools that proactively discover sensor spoofing attacks and software bugs, Kim’s research directly addresses one of the most pressing threats to the safe deployment of drones and autonomous systems. His work is essential reading for anyone interested in building resilient, attack-resistant robotic systems for our increasingly automated world.