Jeong Heon Lee
Papers
1
Total Citations
22
H-Index
1
About
Jeong Heon Lee is a materials and sensing systems researcher whose work sits at the intersection of flexible electronics, smart materials, and machine learning-enhanced sensing technologies. His research focuses on the development of low-cost, highly adaptable piezo-resistive sensors using elastomeric nanocomposites — particularly silicone rubber (Ecoflex) matrices reinforced with carbon nanotubes (CNTs) — paired with innovative carbon fiber electrode architectures. A hallmark of his approach is the integration of advanced deep learning techniques, notably Long Short-Term Memory (LSTM) recurrent neural networks, to extract nuanced signal patterns from flexible sensor outputs, bridging the gap between materials fabrication and intelligent data interpretation. His notable 2019 work demonstrating an extremely inexpensive, simple, and flexible carbon fiber electrode for tunable elastomeric sensors has garnered 22 citations, reflecting growing interest in accessible, scalable wearable and soft robotics sensing solutions. By prioritizing affordability and fabrication simplicity without sacrificing tunability or performance, Lee's contributions are particularly meaningful for researchers and engineers working in resource-constrained environments. His research offers a compelling pathway toward next-generation human-machine interfaces, health monitoring devices, and adaptive robotic skin systems.
Research Focus
Key Achievements
Top Papers
- 1