Sang Min Park
Papers
1
Total Citations
29
H-Index
1
About
Sang Min Park is a pioneering researcher at the intersection of self-powered sensing systems and artificial intelligence, with a primary focus on triboelectric nanogenerators and intelligent Internet of Things (IoT) technologies. His 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 accurate 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 reliability. Park’s research advances the field by creating systems that maintain performance despite temperature, humidity, and mechanical variability, paving the way for practical self-powered automotive safety and monitoring solutions. His achievements demonstrate a unique ability to merge materials science, energy harvesting, and machine learning, making his work highly influential among researchers in smart sensing and sustainable electronics. With a growing citation record and a focus on real-world robustness, Park is establishing himself as a key innovator in next-generation autonomous and connected vehicle technologies.
Research Focus
Key Achievements
Top Papers
- 1