Assistant Professor, Department of International Logistics, College of Business and Economics, Chung-Ang University
84 Heukseok-dong, Dongjak-gu, Seoul, Republic of Korea
Room 1051, Building 310
TEL : (+82)2 820 - 5438
E-mail : yonggabkim@cau.ac.kr
Linkedin: https://www.linkedin.com/in/yonggabkim/
Education
Ph.D. in Industrial Engineering, Purdue University, USA, 2025
B.S. in Business Administration, Chung-Ang University, Korea, 2019
Employment
Assistant Professor
Department of International Logistics, Chung-Ang University, Seoul, South Korea
Mar 2026 - Present
Senior Data Scientist
Walmart Global Tech (Applied AI, Middle Mile Transportation Optimization Team), Sunnyvale, CA, USA
Feb 2025 - Feb 2026
⦁ The team previously won 2023 Franz Edlman award, "Load Planner" Product, loading and routing truck algorithm for Walmart.
Paper: https://pubsonline.informs.org/doi/abs/10.1287/inte.2023.0093
Video: https://youtu.be/MGNvEZZ3qPw?si=3YX-OKCVDngsdZRx
⦁ Improved and maintained the Load Planner system, enhancing performance of large-scale truck loading and routing optimization.
Technical Graduate Intern
Intel Corporation, Hillsboro, OR, USA
May 2022 - Aug 2023
Research Field
Logistics & Transportation Optimization
Vehicle Routing & Scheduling
Machine Learning & Metaheuristics for Logistics Systems
Last-mile & Middle-mile Logistics Systems
Papers
⦁ Kim, B.,
Kim, Y., Choi, J., Jun, S., & Shin, Y. (2026). Alleviation of OHT Vehicle Congestion in Semiconductor FAB with Dynamic Link Weight Control: A Reinforcement Learning Approach.
International Journal of Production Research. (Accepted for publication)
doi.org/10.1080/00207543.2026.2656773
⦁
Kim, Y., Khir, R., & Lee, S. (2025). Enhancing Genetic Algorithm with Explainable Artificial Intelligence for Last-Mile Routing. IEEE Transactions on Evolutionary Computation.
10.1109/TEVC.2025.3562243
⦁
Kim, Y., Jeong, H. Y., & Lee, S. (2024). Drone delivery problem with multi-flight level: Machine learning based solution approach. Computers & Industrial Engineering,
110565.
doi.org/10.1016/j.cie.2024.110565
⦁ Kim, B.,
Kim, Y., & Lee, S. (2024). Decentralised protocols for autonomous mobile robots in material handling: Inductive learnings from centralised controller.
International Journal of Production Research, 1–27.
doi.org/10.1080/00207543.2024.2376213
⦁ Jeong, H. Y.,
Kim, Y., Lee, S., Moreland, J., & Zhou, C. (2023). Disruption propagation and repair response in interdependent system: Network model and simulation
approach. Simulation Modelling Practice and Theory, 124, 102730.
doi.org/10.1016/j.simpat.2023.102730
Research Projects
2024
Autonomous Mobile Robot (AMR) Logistics Optimization
⦁ Project funded by MOTIE (Korea), Technology Innovation Program No. 20019178.
⦁ Supported simulation models and system analysis to optimize AI-driven AMR route planning and material handling.
2023
Wafer Demand & Tool Installment Optimization | Intel Corporation
⦁ Technical Graduate Internship; Developed Mixed-Integer Linear Programming models in CPLEX to optimize factory tool installments and simulate capacity expansion
scenarios.
2020
Network Disruption and Repair Response Simulation
⦁ Project sponsored by Naval Surface Warfare Center (NSWC).
⦁ Supported network disruption simulations and machine learning-based repair agent management systems to improve automated recovery protocols.
KOR
