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About

Ivan Lee is a versatile researcher whose work spans wearable sensing technologies, computer vision, and intelligent systems. He is perhaps best known for his pioneering contributions to flexible electronics, particularly the development of graphene-based strain sensors. His 2016 paper on graphene/silicon rubber composites for wearable strain sensors has garnered nearly 400 citations, establishing him as a significant voice in the field of health monitoring and human-machine interfaces. Building on this foundation, his 2019 work introduced a multifunctional graphene/silver nanowire nanocomposite device capable of both strain sensing and drug delivery, reflecting his ambition to push wearable technology toward therapeutic applications. Beyond materials science, Lee has made meaningful contributions to human-centered computing, including RGB-D camera-based fall recovery recognition for elderly safety and robotic systems designed to guide physiotherapy exercises. His earlier work in wireless visual sensor networks demonstrated a longstanding interest in energy-efficient, distributed sensing architectures. More recently, his lightweight spatio-temporal graph learning model for real-time driver fatigue detection highlights his commitment to deployable AI on resource-constrained devices. Across these diverse domains, Lee's research consistently prioritizes practical impact — designing intelligent systems that meaningfully improve human safety, health, and quality of life.