Jun Han

Jun Han is an Associate Professor in the School of Computing at KAIST, leading the Cyber-Physical Systems and Security (CyPhy) Lab. His research focuses on Sensing-Augmented Physical AI, integrating sensing, mobile systems, security, and artificial intelligence to enhance security and intelligence in emerging systems such as smart devices, drones, vehicles, and IoT. His work explores areas including Physical AI-based Sensing Augmentation, Physical Hacking, and Physics-guided Secure Authentication. He has published extensively in top conferences such as MobiSys, SenSys, S&P, and NDSS, and his research has received distinguished paper awards and best poster awards. He is also affiliated with the National University of Singapore and Yonsei University in his academic career.

Jun Han is an Associate Professor at the School of Computing, KAIST, specializing in IoT, Sensing, Mobility, Security, and Privacy. His research explores innovative methods for enhancing security and privacy in IoT systems, with a focus on leveraging sensor data for both benign and malicious purposes. Han's work includes developing techniques for location inference, eavesdropping via non-acoustic sensors, and secure device pairing. He has also investigated physical context verification, hidden spy camera detection, and secure access to sensitive applications. His research emphasizes the intersection of mobility, sensing, and security, aiming to address critical challenges in IoT and smart environments.