Min Woo Cho
Papers
1
Total Citations
29
H-Index
1
About
Min Woo Cho is a rising leader in the field of self-powered sensing systems and artificial intelligence of things (AIoT), with a particular focus on triboelectric nanogenerators and their real-world applications. Their most notable contribution is the development of an environmentally robust triboelectric tire monitoring system, which integrates self-powered sensors with hybrid deep learning in time-frequency representation to enable reliable driving information recognition under harsh conditions. This work, published in 2024 and already garnering 29 citations, addresses a critical challenge in AIoT: environmental fluctuations that degrade triboelectric signal quality. By creating a system that remains accurate despite temperature, humidity, and mechanical variability, Cho has advanced the practical deployment of self-powered sensors in automotive safety and intelligent transportation. Their research bridges materials engineering, signal processing, and machine learning, demonstrating a unique interdisciplinary approach. Cho’s work is particularly impactful for students and researchers interested in sustainable energy harvesting, smart infrastructure, and robust AI systems. With this foundational study, they are establishing a trajectory toward more resilient, autonomous sensing networks that operate without external power sources.
Research Focus
Key Achievements
Top Papers
- 1