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About

Liang Pan is a pioneering researcher at the intersection of flexible electronics, neuromorphic engineering, and human-machine interfaces, whose work has fundamentally advanced the field of electronic skin and artificial sensory systems. With over 1,500 citations across his most influential publications, Pan has established himself as a leading voice in bio-inspired sensing technologies. His most celebrated contributions include the development of artificial sensory neurons capable of tactile perceptual learning (412 citations) and electronic skin systems that emulate the protective and sensory functionalities of human skin (444 citations). A landmark 2020 study integrating stretchable sensors with bioinspired learning architectures for gesture recognition has attracted 535 citations, underscoring its broad influence. Pan's research consistently bridges hardware and intelligence, as demonstrated by his work fusing stretchable sensing technology with machine learning for next-generation human-machine interfaces. More recently, Pan has pushed boundaries further with ultrafast near-sensor analogue computing for artificial skin, chemically mediated artificial neurons, and bio-inspired electrosense transistors capable of perception in opaque environments. His development of supertough spider silk-composite electro-tendons reflects a remarkable breadth spanning materials science and robotics, making his portfolio exceptionally compelling for researchers in wearable technology, prosthetics, and neuromorphic computing.