Do Young Kim
Papers
1
Total Citations
29
H-Index
1
About
Do Young Kim is a leading researcher at the intersection of self-powered sensors, artificial intelligence of things (AIoT), and intelligent transportation systems. His most prominent work focuses on overcoming the critical challenge of environmental instability in triboelectric nanogenerators, enabling robust, real-world applications. Kim’s landmark 2024 study introduced an environmentally robust triboelectric tire monitoring system that integrates hybrid deep learning for time-frequency signal analysis, achieving self-powered driving information recognition even in harsh conditions. This paper has already garnered 29 citations, underscoring its immediate impact on the field. By fusing advanced machine learning with energy harvesting technology, Kim has pioneered a new paradigm for AIoT in automotive safety and smart infrastructure. His contributions are particularly notable for addressing the practical limitations of triboelectric sensors—such as sensitivity to humidity and temperature—making them viable for continuous, autonomous monitoring. Kim’s work stands as a key reference for researchers developing resilient, self-sustaining sensing systems for next-generation intelligent vehicles and smart cities.
Research Focus
Key Achievements
Top Papers
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