Ji Gyo Park
Papers
1
Total Citations
29
H-Index
1
About
Ji Gyo Park is a leading innovator in the field of self-powered sensing systems and artificial intelligence of things (AIoT), with a particular focus on triboelectric nanogenerators for intelligent transportation. His most notable contribution is the development of an environmentally robust triboelectric tire monitoring system, which overcomes the critical challenge of signal degradation in harsh conditions. By integrating hybrid deep learning with time-frequency representation, Park’s 2024 work enables self-powered driving information recognition—such as tire pressure and road condition detection—without external batteries. This breakthrough has garnered 29 citations in under a year, reflecting its immediate impact on smart mobility and autonomous vehicle safety. Park’s research uniquely bridges materials engineering, energy harvesting, and machine learning, offering a scalable solution for real-world AIoT deployment. His achievements position him at the forefront of sustainable, intelligent infrastructure, making his work essential reading for researchers advancing self-powered electronics and edge computing.
Research Focus
Key Achievements
Top Papers
- 1