Han‐Jun Kim
Papers
3
Total Citations
177
H-Index
3
About
Han-Jun Kim is a leading researcher at the intersection of advanced materials, wearable electronics, and intelligent machine monitoring. His work is defined by two major thrusts: developing high-performance electronic skins (E-skins) and pioneering novel acoustic sensing for predictive maintenance. In the realm of wearables, Kim engineered an epidermis-inspired piezoresistive pressure sensor using reduced graphene oxide self-wrapped copper nanowire networks. This design achieves exceptional sensitivity, durability, and a wide dynamic range, making it a critical component for human physiological monitoring and soft robotics—a contribution that has garnered 68 citations. Simultaneously, Kim has revolutionized industrial machine health monitoring. By developing a stethoscope-based internal sound sensor, he enables high-fidelity acoustic anomaly detection for robotic arms, a breakthrough for smart manufacturing and predictive maintenance. His foundational work on this sensor (25 citations) led to a highly cited autoencoder-based anomaly detection system (84 citations), demonstrating a powerful fusion of hardware innovation and deep learning. Through these dual contributions, Kim is advancing both the sensitivity of wearable tactile interfaces and the intelligence of industrial IoT systems.
Research Focus
Key Achievements
Top Papers
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