معرفی
Jangkyum Kim serves as an Assistant Professor in the Department of Artificial Intelligence Data Science within the School of Intelligent Mechatronics Engineering at Sejong University, South Korea, a position he has held since 2017. Previously, he worked as a Data Scientist at SK Innovation from 2022 to 2023.
His academic credentials include:
- Ph.D. from Korea Advanced Institute of Science and Technology (2022)
- M.S. from Sogang University (2017)
- B.S. from Sogang University (2015)
Dr. Kim's research is centered on Power Systems, Electric Vehicles, Smart Factories, and Industry AI. His work addresses critical challenges in renewable energy integration, microgrid optimization, and energy storage management. The fingerprint of his research reveals strong contributions to Electric Vehicle technology, Energy Storage Systems, Photovoltaics, Renewable Energy, Microgrids, Peak Load management, and Energy Management Systems.
Recent publications (2024-2025) showcase an interdisciplinary approach applying advanced AI techniques (including CNNs, RNNs, and self-attention models) to diverse problems such as battery capacity forecasting, dental caries detection, air leakage detection, and gait analysis. These works highlight his focus on practical, data-driven solutions leveraging IoT and multimodal data in industrial and medical contexts.
He is affiliated with the TEED Lab (TEED Lab), which appears to concentrate on energy and data-driven engineering applications.
