중앙대학교 경영경제대학 국제물류 학과 조교수 서울시 동작구 흑석동 84, 310관 1051호 연구실: (+82) 2 820 - E-mail: yonggabkim@cau.ac.kr
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, 2026.03 ~
Senior Data Scientist, Walmart Global Tech (Applied AI, Middle Mile Transportation Optimization Team), 2025.02 ~ 2026.02
Technical Graduate Intern, Intel Corporation, 2022.05 ~ 2023.08
Research Field
⦁ 물류 및 운송 최적화 (Logistics & Transportation Optimization)
⦁ 차량 경로 계획 및 스케줄링 (Vehicle Routing & Scheduling)
⦁ 물류 시스템을 위한 머신러닝 및 메타휴리스틱 (Machine Learning & Metaheuristics for Logistics Systems
⦁ 라스트마일 및 미들마일 물류 시스템 (Last-mile & Middle-mile Logistics Systems)
Papers
⦁ Kim, Y., Khir, R., & Lee, S. (2025). Enhancing Genetic Algorithm with Explainable Artificial Intelligence for Last-Mile Routing. IEEE Transactions on Evolutionary Computation.
⦁ Kim, Y., Jeong, H. Y., & Lee, S. (2024). Drone delivery problem with multi-flight level: Machine learning based solution approach. Computers & Industrial Engineering, 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.
⦁ 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.
Research Projects
2025 ⦁ Truck Route and Loading Optimization | Walmart Global Tech ⦁ Member of the Load Planner Team (INFORMS 2023 Franz Edelman Award winning team); contributed to large-scale retail truck routing and loading optimization for the Walmart's U.S. middle mile supply chain. ⦁ Autonomous Mobile Robot (AMR) Logistics Optimization
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.
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