Shan Lin

Shan Lin is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. His research focuses on cyber-physical systems, wireless networks, and sensing technologies, addressing challenges in resilient control, smart mobility, and healthcare applications. Lin's work spans theoretical foundations (e.g., formal methods, game theory) and practical implementations (e.g., wearable sensors, smart city systems).

He holds a PhD in Electrical Engineering and has contributed to projects like the CyberCardia initiative modeling implantable cardiac devices. His research integrates machine learning, optimization, and embedded systems to solve real-world problems in energy management, healthcare monitoring, and urban infrastructure resilience.

Lin leads interdisciplinary teams developing solutions for electric vehicle coordination, real-time emotion recognition, and resilient cyber-physical systems. His publications emphasize safety-critical systems, adaptive control, and human-in-the-loop systems, with applications ranging from smart grids to biomedical devices.