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About

Xinkai Xie is a pioneering researcher at the forefront of neuromorphic computing and electronic skin technologies, with a focus on advancing tactile sensing for the Artificial Intelligence of Things (AIoT). His work bridges the gap between flexible electronics and intelligent systems, enabling seamless human-machine interaction through innovative sensor designs. Xie’s most-cited paper, "Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction" (2024, 77 citations), introduces a groundbreaking approach that combines triboelectric and capacitive sensing for dynamic and static tactile perception, achieving real-time multichannel signal transmission—a critical step toward wireless mixed reality applications. His subsequent works, including "Humanoid Electronic-Skin Technology for the Era of AIoT" (2025, 28 citations) and "Innovations in Multidimensional Force Sensors for Accurate Tactile Perception and Embodied Intelligence" (2025, 15 citations), further demonstrate his contributions to multidimensional force sensing, offering skin-like precision for embodied intelligence. With over 120 cumulative citations, Xie’s research is shaping the future of soft robotics, prosthetics, and immersive interfaces, making him a key figure in the evolution of intelligent tactile systems.