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About

Liaoyuan Pu is pioneering the next generation of wearable electronics and human-machine interfaces by harnessing bioinspired design and self-powered sensing mechanisms. Their research focuses on developing flexible, fiber-based sensors that eliminate the need for traditional batteries, instead leveraging ambient energy sources like power frequency electric fields to generate sensing signals. Pu’s most-cited work, “Bioinspired, fiber-based, flexible self-powered sensor for wearable applications” (2024, 34 citations), introduces a sensor with exceptional waterproofing, shape adaptability, and sensitivity to minute mechanical displacements—key attributes for practical wearable use. In “Bionic perception and transmission neural device based on a self-powered concept” (2024, 24 citations), they challenge conventional views by repurposing power frequency electric fields as a direct energy source for bionic sensing, mimicking biological neural pathways. Their latest contribution, “Body‐Coupled Multifunctional Human‐Machine Interfaces with Double Spiral Electrode Structure” (2025, 9 citations), simplifies HMI design by integrating sensing and energy harvesting into a single, scalable structure. With over 67 citations across these three papers alone, Pu’s work is shaping a future where wearable devices are truly autonomous, intuitive, and seamlessly integrated with the human body.