Mengyun Zhang

Fudan University, Northwest A&F University

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About

Mengyun Zhang is a pioneering researcher at the intersection of neuromorphic engineering and intelligent robotics, whose work bridges the gap between artificial perception systems and biological sensory processing. Her most impactful contribution, the 2025 study on "Ferroelectric/Electric-Double-Layer-Modulated Synaptic Thin Film Transistors," has already garnered 9 citations for its groundbreaking approach to artificial tactile perception. This work demonstrates how synaptic transistors can mimic the human brain's tactile sensation and recognition capabilities, offering a pathway for intelligent robots to interact with their environment in increasingly human-like ways. Earlier, Zhang established her technical foundation with innovative computer vision research, developing a segmentation algorithm for farmland obstacle images based on intuitionistic fuzzy divergence (2016, 5 citations). This work addressed critical limitations in agricultural robotics by creating a more universal, less complex approach to image segmentation. By combining neuromorphic hardware design with practical robotic applications, Zhang is helping to realize machines that can not only see but also feel and interpret their surroundings, advancing the frontier of human-robot interaction and autonomous systems.