Post-doctoral researcher | Korea Advanced Institute of Science and Technology | South Korea
Dr. Dongmin Kim is a Post-doctoral Researcher at the Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology (KAIST), specializing in electric vehicles, energy consumption modeling, and intelligent transportation systems. He earned his Ph.D. and M.S. from the Cho Chun Shik Graduate School of Mobility at KAIST, focusing on electric vehicle battery internal resistance degradation and driving energy efficiency, and holds a B.S. in Electrical and Electronics Engineering from Chung-Ang University. Dr. Kim has led and contributed to multiple projects on battery-in-the-loop systems, cooperative-intelligent transport systems, and real-world data-driven modeling of electric vehicle efficiency. His research outputs include high-impact publications in leading journals such as Applied Energy, eTransportation, and IEEE Transactions on Intelligent Transportation Systems, alongside numerous conference papers and domestic journal contributions. He has also advanced the field through patents on battery management and charging systems and invited presentations at international academic and industrial forums. Recognized for excellence, he has received awards such as the Best Paper Award from the Korean Institute of Intelligent Transport Systems, the KITS President’s Award, and the Grand Award in the Start-up Idea Competition at KAIST. Additionally, he has completed professional certifications in battery systems, eco-friendly vehicle technologies, and AI-based energy solutions, and has actively contributed as a member of Korea’s intelligent transportation research community. Dr. Kim’s distinguished record of innovation, research leadership, and academic excellence positions him as a transformative contributor to the advancement of sustainable mobility and intelligent transportation systems, with a current record of 2 citations across 4 publications and an h-index of 1.
Profiles: Scopus | ORCID | Google Scholar
Featured Publication
1. Kim D., Lee H., Lee J., Unsupervised learning approach for risky driving behavior identification on expressways in C-ITS environments. IEEE Trans. Intell. Transp. Syst., 2025, 10.1109/TITS.2025.3538929.
2. Kim D., Yun G., Jang K., Woo S., Auxiliary energy consumption of electric vehicles: Modeling and prediction using real-world vehicle data. Appl. Energy, 2025, 10.1016/j.apenergy.2025.126766.
3. Kim D., Jang K., Component-level analysis for developing an energy consumption model for battery electric vehicles (BEVs) in operation. eTransportation, 2025, 10.1016/j.etran.2025.100472.