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About

Ziyi Dai is an emerging researcher working at the dynamic intersection of neuromorphic electronics, flexible sensing systems, and biomimetic hardware. His work focuses on developing next-generation artificial sensory devices that bridge biological neural behavior and advanced materials science. Dai's most recognized contribution — an artificial mechano-nociceptive system built on transparent ITO/AlN/ITO memristor technology (2024, 10 citations) — demonstrated that engineered nociceptor neurons could faithfully replicate pain-signaling pathways, opening new frontiers in intelligent prosthetics, humanoid robotics, and electronic skin. Building on this, his transparent multifunctional memristor based on amorphous InAlZnO (2025, 5 citations) advanced biomimetic sensory systems capable of simultaneously emulating learning, memory, and cognition. Beyond neuromorphic devices, Dai has made notable contributions to flexible pressure sensing, addressing practical engineering challenges such as liquid interference in capacitive sensors through superhydrophobic Cassie–Baxter surface engineering (2025, 2 citations) and achieving wide-range linear pressure transduction via graded dielectric foam architectures. Though early in his career, Dai's rapidly growing citation record and multidisciplinary approach position him as a promising voice shaping the future of intelligent human-machine interface technologies.