Yemei Han

Papers

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About

Yemei Han is a leading researcher in neuromorphic computing and memristive devices, whose work bridges the gap between artificial synapses and biological sensory systems. Her most cited paper, "Reconfigurable Al₂O₃-Based Memristor for All-in-One Artificial Synapse and Nociceptor Neurons" (2025, 13 citations), introduces a groundbreaking multifunctional bionic device that can dynamically switch between volatile and nonvolatile operations. This innovation enables a single memristor to emulate both synaptic plasticity—essential for learning and memory—and nociceptor behavior, mimicking how biological systems detect and respond to harmful stimuli. By unifying these functions, Han’s work eliminates the need for separate hardware components, paving the way for more efficient neuromorphic computing, intelligent sensors, and robotics. Her contributions address a critical challenge in the field: reconciling the conflicting volatility requirements of different applications within a single device. With her reconfigurable platform, Han has opened new possibilities for compact, energy-efficient hardware that can adapt to diverse computational and sensory tasks, making her a rising figure in next-generation bio-inspired electronics.