Geunyoung Park
Geunyoung Park, Ph.D.
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Postdoctoral Researcher
geunyoung.park@kaist.ac.kr
πŸ“„ Curriculum Vitae (CV)
0000-0002-6944-8757
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Description

Geunyoung Park is a Post-doctoral Researcher at the Cho Chun Shik Graduate School of Mobility at the KAIST. He received his Ph.D. degree from the Cho Chun Shik Graduate School of Mobility at KAIST in 2026. He is currently working on optimal energy and thermal management of electrified vehicles.

His research interests include optimal control, predictive energy management, vehicle thermal management systems, and data-driven modeling and control.

Education

  • September 2022 - September 2026 Ph.D. in CCS Graduate School of Mobility, KAIST, South Korea
  • September 2020 - September 2022, M.S. in Division of Future Vehicle, KAIST, South Korea
  • May 2013 - September 2019, B.S. in Mechanical Engineering, Korea Aerospace University, South Korea

Professional Experience

  • August 2019 - August 2020, Hanwha Aerospace Corporation, South Korea

Key Publications

  • High-Fidelity Modeling of the Toyota Mirai FCEV Thermal Management System: A Step Toward Real-Vehicle Thermal Behavior , Energy Conversion and Management, 2026
  • Physics-informed neural networks for estimating flooding in a three-dimensional proton exchange membrane fuel cell , International Journal of Heat and Mass Transfer, 2026
  • Development of a Real-Time Link-Based Predictive Energy Management Strategy for Extending FCEV Lifespan Using an Experiment-Driven Degradation Model , Applied Energy, 2025
  • Predictive Control of a Dog-Clutch Transmission via a Transformer-Based Velocity Prediction , IEEE Transactions on Vehicular Technology, 2025
  • An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality? , IEEE Transactions on Intelligent Transportation Systems, 2024
  • Stack Degradation Protection of FCEVs via Predictive Energy Management Strategy with Segmented Roads , American Control Conference, 2024
  • Preview Control of Dog Clutch-Based Electric Vehicle Transmission via Dynamic Programming: Proof of Concept , IEEE Conference on Control Technology and Applications, 2022

Publications in MIC Lab


Quick Links


International Journal Papers


    2025
  1. Development of a Real-time Link-Based Predictive Energy Management Strategy for Extending FCEV Lifespan Using an Experiment-driven Degradation Model
    Geunyoung Park , Kyunghwan Choi, Minjun Kim, EunAe Cho, Kyungsub Sung, Dongsuk Kum*
    Applied Energy , vol. 397, no. 16, 2025 [🌐 Online]
  2. Predictive Control of a Dog-Clutch Transmission via a Transformer-Based Velocity Prediction
    Geunyoung Park , Kyunghwan Choi, Dongsuk Kum*
    IEEE Transactions on Vehicular Technology , vol. 74, no. 5, pp. 7430-7443, 2025 [🌐 Online]

    3. 2024
  3. An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?
    Kyunghwan Choi, Geunyoung Park , Dongsuk Kum*
    IEEE Transactions on Intelligent Transportation Systems , vol. 25, no. 9, pp. 12749-12761, 2024 [🌐 Online]

International Conference Papers


    2024
  1. Stack Degradation Protection of FCEVs via Predictive Energy Management Strategy with Segmented Roads
    Geunyoung Park , Kyunghwan Choi, Dongsuk Kum*
    American Control Conference (ACC) , pp. 3643-3649, 2024 [🌐 Online]