Zexia Ma

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About

Zexia Ma is a rising researcher in the field of neuromorphic computing and emerging memory technologies, with a particular focus on bio-inspired electronic systems. Her most-cited work, "Modeling and emulation of artificial nociceptor based on TiO2 threshold switching memristor" (2023), has already garnered 17 citations, demonstrating early impact in the development of artificial sensory systems. Ma’s research centers on designing and modeling memristive devices that mimic biological pain perception (nociception), a critical step toward creating intelligent, self-protecting neuromorphic circuits. By leveraging TiO2-based threshold switching, she has contributed to the emulation of key nociceptor behaviors—such as threshold, adaptation, and sensitization—which are essential for future applications in robotics, prosthetics, and edge computing. Her work bridges materials science, device physics, and computational neuroscience, offering a pathway to more resilient and human-like artificial neural networks. As a researcher at the forefront of this interdisciplinary domain, Ma’s contributions are helping to translate fundamental memristor phenomena into functional bio-inspired systems, positioning her as a promising voice in the next generation of neuromorphic engineers.