BaekGyu Kim
Papers
1
Total Citations
29
H-Index
1
About
BaekGyu Kim is a leading researcher at the intersection of intelligent sensing, self-powered systems, and artificial intelligence of things (AIoT). His work focuses on overcoming the critical challenge of environmental robustness in triboelectric sensors, which are notoriously sensitive to fluctuations in temperature, humidity, and pressure. In his most notable contribution, Kim developed an environmentally robust triboelectric tire monitoring system that integrates a self-powered sensor with a hybrid deep learning model operating in the time-frequency domain. This breakthrough enables accurate driving information recognition—such as tire slip and road condition—even under harsh, real-world conditions. The work, published in 2024, has already garnered 29 citations, underscoring its immediate impact on the fields of smart transportation and autonomous vehicle safety. By combining triboelectric nanogenerators with advanced AI, Kim is pioneering a new class of resilient, energy-autonomous IoT devices. His research not only advances fundamental understanding of signal robustness but also paves the way for practical, maintenance-free sensing systems in automotive and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1