Huiyuan Liu

University of Science and Technology of China, University of Aberdeen

Papers

Total Citations

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About

Huiyuan Liu is a pioneering researcher at the intersection of neuromorphic computing and intelligent tactile perception. Her most impactful work centers on developing bio-inspired electronic devices that mimic the rich temporal coding capabilities of biological neurons. In her highly cited 2022 study, Liu demonstrated how ionic memristor-based spiking neurons can encode signals through distinct voltage spike trains, enabling adaptive tactile perception without complex circuitry. This breakthrough, which has already garnered 22 citations, represents a significant step toward efficient, brain-like information processing in hardware. Earlier in her career, Liu contributed to robotics by developing the unit circle (UC) approach for qualitative kinematic modeling, a method that enables fault diagnosis in robots by representing continuous motion through interval-valued constraints. Her work bridges fundamental neuroscience principles with practical engineering applications, offering new pathways for creating energy-efficient sensory systems and more robust robotic platforms. Liu’s research continues to inspire advances in neuromorphic engineering and intelligent sensing technologies.