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About

Qing Wan is a pioneering researcher at the forefront of neuromorphic electronics and bioinspired sensory systems, working at the intersection of materials science, neuroscience, and semiconductor device engineering. His most celebrated contribution, "An Artificial Sensory Neuron with Tactile Perceptual Learning" (2018), has garnered over 400 citations and established him as a leading voice in the field of artificial sensory intelligence — demonstrating how electronic devices can replicate the learning capabilities of biological skin neurons. Building on this foundation, Wan's 2019 work on sub-10 nm vertical organic/inorganic hybrid transistors advanced the emulation of pain-perceiving nociceptors, capturing the nuanced sensitization behaviors of the human nervous system with remarkable precision. His 2020 investigation into optoelectronic In-Ga-Zn-O memtransistors further expanded his portfolio into artificial vision, exploring how oxide-based devices can mimic visual processing in biological systems. Collectively, Wan's research has laid critical groundwork for next-generation neuromorphic hardware, with applications spanning soft robotics, prosthetics, and brain-inspired computing. His consistently high citation counts reflect both the originality and the broad relevance of his contributions to the global research community.