Papers
7
Total Citations
406
H-Index
6
About
Nam-Young Kim is a leading researcher at the forefront of flexible electronics, neuromorphic computing, and intelligent sensing systems. His work centers on developing advanced electronic skins (e-skins), memristive devices, and human-computer interaction frameworks that push the boundaries of artificial intelligence-driven hardware. Kim's most influential contributions include pioneering bimodal e-skin architectures — such as micropyramid array and all-fabric bionic designs — that combine machine learning with capacitive sensing to replicate and surpass human tactile perception, garnering over 116 and 45 citations respectively. His exploration of polymer-based flexible e-skins has provided a comprehensive roadmap for high-performance tactile and non-contact sensing applications, cited 75 times. Equally notable is his work on neuromorphic hardware, where he has engineered optoelectronic memristors capable of mimicking associative learning behaviors like classical and operant conditioning — bridging biological cognition and silicon-based systems. Kim has also advanced human-computer interaction by integrating FPGA platforms with electronic tattoos and memristors into unified "perception-memory" systems, earning 93 citations and highlighting his impact on humanoid robotics and brain-inspired computing. With a growing citation record exceeding 400 across recent publications alone, his research is shaping the next generation of intelligent, bio-inspired electronic systems.
Research Focus
Key Achievements
Top Papers
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