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About

Shan Wang is a multidisciplinary researcher whose work bridges advanced sensing technologies, computer vision, and human-machine interaction. With a focus on developing next-generation interfaces for the metaverse and robotics, Wang has made notable contributions to wearable sensing systems and spatial computing. Most prominently, Wang's work on optical-nanofiber-enabled gesture-recognition wristbands — which leverages machine learning to enable imperceptible, low-cost, and safe human-machine interaction — has garnered 35 citations since 2023, establishing it as a landmark contribution to wearable technology and immersive computing. Beyond wearables, Wang has advanced the field of 3D reconstruction by developing principled noise models for RGB-D sensors, improving scan quality in applications spanning robotics and manufacturing. Wang has also contributed to outdoor robot localization through a cross-view self-localization framework that fuses onboard camera feeds with satellite imagery, demonstrating a keen interest in robust, real-world perception systems. Collectively, Wang's research reflects a sophisticated integration of photonics, machine learning, and spatial reasoning — a combination that positions their work at the cutting edge of human-robot interaction and embodied AI research.