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About

Zequn Cui is an innovative researcher at the intersection of flexible electronics, bioinspired sensing, and human-machine interfaces. His work spans artificial sensory systems, stretchable electronics, and neuromorphic devices, with a particular focus on emulating and extending biological capabilities through advanced materials and intelligent algorithms. Cui's most celebrated contributions include pioneering work on chemically mediated artificial neurons (170 citations) and the integration of stretchable sensing technologies with machine learning for next-generation human-machine interfaces (159 citations). His 2021 review on artificial sense technology (101 citations) has become an important reference for researchers bridging the gap between biological and synthetic sensing systems. He has also made significant strides in bioinspired haptic sensing, developing freestanding tactile sensor arrays capable of identifying human body features and skin-inspired multi-modal mechanoreceptors for dynamic haptic exploration. Beyond sensing, Cui has contributed meaningfully to stretchable electronics through mechanically durable memristor arrays and pangolin-inspired microwave-invisible metastructures, demonstrating a remarkable breadth across materials science and robotics. With a growing body of work accumulating over 750 citations, Cui's research is shaping the future of wearable technology, soft robotics, and intelligent prosthetics, making him a compelling figure for students exploring the frontiers of bioelectronics and embodied AI.