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About

Kunqi Hou is an emerging researcher at the cutting edge of organic electronics, neuromorphic engineering, and human-machine interfaces. Their work centers on developing advanced organic electrochemical transistors (OECTs) and bio-inspired sensory systems that bridge the gap between biological neural architectures and next-generation robotics. Hou's most celebrated contribution, garnering 41 citations since 2024, demonstrates the feasibility of artificial organic afferent nerves capable of closed-loop tactile feedback — a significant leap toward intelligent robotic systems that can genuinely "feel" and respond to their environment. Complementing this, their highly cited 2023 work (37 citations) showcased ladder-type conjugated polymer-based OECTs that enable signal processing-free electromyogram control of robotic hands, dramatically simplifying the hardware pipeline while reducing power consumption. More recently, Hou has pioneered the exploitation of spatial ionic dynamics in solid-state OECTs for multi-tactile sensing, advancing neuromorphic approaches to sensor arrays for biomedical and AI applications. Collectively, Hou's research is reshaping how soft, low-power electronic devices can emulate biological sensory pathways, offering transformative implications for prosthetics, wearable health monitoring, and autonomous robotic systems.