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About

Liangchao Guo is pioneering the frontier of bioinspired neuromorphic computing, with a focus on developing artificial sensory systems that emulate human perception. His research spans artificial synapses, thermoreceptors, and olfactory memory, aiming to overcome the von Neumann bottleneck by creating hardware that mimics neural processing. Guo’s most cited work, “Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System” (2021, 77 citations), demonstrates a key contribution: integrating near-infrared responsive materials to build artificial visual systems with high computing efficiency. He further advanced biomimetic sensing with “High Spatiotemporal Resolution Biomimetic Thermoreceptors” (2024, 45 citations), introducing jointless p-n thermoelectric composites that replicate human skin’s temperature perception with exceptional resolution. His 2020 study on electromechanical coupling for data storage and synaptic devices (32 citations) and his 2024 review on artificial olfactory memory (9 citations) underscore his systematic approach to multi-sensory neuromorphic systems. Notably, Guo also applies deep learning to agriculture, proposing a deformable transformer attention mechanism for paddy disease recognition (2023). With over 160 citations across these works, Guo is establishing himself as a key innovator in neuromorphic engineering, bridging materials science and artificial intelligence to build the next generation of intelligent, perceptive systems.