Yan Long is a final-year PhD candidate and Rackham Predoctoral Fellow in the EECS department at the University of Michigan, advised by Professor Kevin Fu and Professor Mingyan Liu. His research is mainly in the area of embedded systems security with a focus on protecting the security and privacy of analog and digital sensing in various forms of cyber-physical systems. He also develops novel sensing systems to facilitate healthcare and security applications. His previous publications appeared at top international venues such as IEEE Security and Privacy, ACM CCS, NDSS, UbiComp, and SenSys. He was an invited speaker of the MIT CSAIL Security Seminar and a reviewer of top IEEE and ACM journals and conferences. He is a program committee member of USENIX Security 2024.
My research investigates how to achieve trustworthy and confidential sensing in critical infrastructures and user-device interactions with a focus on hardware-software co-design to protect cyber-physical systems (CPS) from undefined side-channel behavior of sensor hardware. The revolution of ubiquitous computing enabled by novel sensor hardware in CPS has raised new security and privacy challenges caused by the semantic and methodological gaps in the cyber-physical layer. My research models the interactions between physics, electronics, and software of sensing-based systems to find systematic solutions, and explores the potential of utilizing sensor side channels to enable novel multimodal sensing functionalities for enhancing the security of emerging technologies.