Jeonghwan Kang
Papers
2
Total Citations
6
H-Index
2
About
Jeonghwan Kang is a leading researcher at the intersection of robotic systems security and dependable software engineering. His work focuses on fortifying the Robot Operating System (ROS) ecosystem—the backbone of modern robotics—against critical safety and security vulnerabilities. Kang’s major contributions include pioneering intra-process isolation for ROS 2 using Memory Protection Keys, a technique that prevents faulty or malicious components from corrupting shared memory without sacrificing performance. He also developed an offline machine learning framework for anomaly detection in ROS 2’s decentralized architecture, enabling proactive identification of callback-level misbehavior. With his most-cited papers already garnering early attention (3 citations each within their first year), Kang’s research is rapidly shaping best practices for secure robotic software composition. His work is particularly notable for addressing the unique challenges of ROS 2’s distributed design, offering practical, deployable solutions that enhance both safety and security. For students and researchers, Kang’s research represents a critical bridge between real-time robotic systems and robust cybersecurity—a field where failures can have physical consequences.
Research Focus
Key Achievements
Top Papers
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