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About

Xumeng Zhang is a leading researcher in neuromorphic engineering and bioinspired sensory systems, with a focus on developing hardware that mimics biological neural circuits for advanced perception and computing. Their major contributions lie in creating memristor-based spiking neural networks and tactile sensing systems that integrate sensing, processing, and memory in a single platform. Notably, Zhang’s work on a heterogeneously integrated spiking neuron array for multimode-fused perception and object classification (165 citations) and a habituation sensory nervous system using memristors (147 citations) has set benchmarks in the field. They also pioneered ultrafast responsive artificial skin through tactile near-sensor analogue computing (121 citations), enabling real-time tactile internet applications. Their recent innovations include scalable memristive neural circuits for robotic obstacle avoidance and configurable cochlea models for speech processing. With over 500 total citations across their top papers, Zhang’s research bridges the gap between biological inspiration and practical hardware, advancing prosthetics, robotics, and human-machine interfaces. Their work on flexible memristive arrays and reward-modulated spike-timing-dependent plasticity further underscores their impact on next-generation intelligent systems.