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About

Fei Hu is a leading researcher in the fields of Cyber-Physical Systems (CPS) and virtual reality (VR)-based rehabilitation technology. His work bridges the gap between robust system design and human-centric healthcare applications. Hu’s most influential contribution is his foundational paper on **"Robust Cyber–Physical Systems: Concept, models, and implementation"** (2015), which has garnered **174 citations** and provides a critical framework for ensuring the reliability and security of interconnected computational and physical processes. This work is essential for engineers designing safe autonomous systems. Simultaneously, Hu has pioneered the integration of VR and sensor technology for medical therapy. His **"sensor-based virtual piano biofeedback system for stroke rehabilitation"** (2014) addresses a global health crisis—affecting approximately 15 million stroke survivors annually—by creating engaging, at-home rehabilitation tools that improve mobility and emotional well-being. Further advancing this domain, Hu has explored **apprenticeship learning** to imbue CPS with human-like intelligence and developed collaborative rehabilitation robots using VR engines. Through these efforts, Hu has established himself as a key innovator in making rehabilitation more accessible and effective, while also strengthening the theoretical underpinnings of modern cyber-physical systems.