Papers

3

Total Citations

76

H-Index

2

About

Joon-Kyu Han is pioneering the intersection of neuromorphic engineering and sustainable energy harvesting, with a focus on creating bio-inspired electronic systems that mimic biological sensory and control mechanisms. His most impactful work introduces a self-powered artificial mechanoreceptor that integrates a triboelectric nanogenerator (TENG) with a biristor neuron, enabling simultaneous pressure detection and spike encoding—a breakthrough for neuromorphic tactile systems that has already garnered 70 citations since 2022. Han further advances the field by exploring memristor-integrated devices for real-time, energy-efficient processing of time-series data from edge devices like wearable health monitors and robot-mounted sensors. His research on co-integrated neuromorphic devices for bio-inspired compliance control addresses critical safety and operational challenges in human-robot interactions, particularly for robotic exoskeletons. By combining hardware innovation with neural-inspired computing, Han is laying the groundwork for next-generation tactile sensing, adaptive robotics, and low-power edge intelligence. His work stands out for its practical vision of merging energy autonomy with neuromorphic functionality, making him a rising figure in the push toward truly intelligent and self-sustaining electronic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
76
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System
70 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Korea Advanced Institute of Science and Technology, Seoul National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago