Papers
5
Total Citations
669
H-Index
4
About
Young Bum Lee is a pioneering researcher at the intersection of wearable electronics, human-machine interfaces, and neural engineering. His most impactful work centers on developing transparent, stretchable interactive human-machine interfaces (iHMIs) using patterned graphene heterostructures—a breakthrough that enables seamless, skin-like control of electronic devices. This foundational paper has garnered over 578 citations, reflecting its profound influence on the field of wearable electronics. Lee also contributed to agricultural robotics, designing an autonomous strawberry harvesting robot for bench-type cultivation that integrates computer vision and a multi-degree-of-freedom manipulator. In neural engineering, he applied extreme learning machines to classify brain-machine interface control commands from rat hippocampal neural signals, advancing real-time decoding of neural activity. His work bridges soft materials, robotics, and computational neuroscience, demonstrating a rare versatility. Lee’s research has been featured in high-impact journals such as *Advanced Functional Materials*, and his innovations hold promise for next-generation prosthetics, smart textiles, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2Strawberry Harvesting Robot for Bench-type Cultivation65 citations · 2012
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