The Computational Optimization Methods (COMET) Lab is a research group led by Dr. Changhyun Kwon in the Department of Industrial and Systems Engineering at KAIST. We develop computational optimization methods for solving large-scale optimization problems arising in transportation, logistics, mobility, manufacturing, service operations, and other related areas. Methods from our computational toolbox include exact optimization algorithms, heuristic methods, machine learning techniques, and their hybrid approaches. Our research expertise lies in the intersection of mathematical optimization, computational science, and transportation engineering.

Research Areas of COMET

Research Areas

  • Applications:
    • Last-Mile Delivery, Urban Logistics, Vehicle Routing Problems
    • Shared Mobility, Sustainable Transportation, Urban Air Mobility
    • Network Equilibrium, Network Games
    • Risk Management in Transportation Systems, Hazardous Materials Transportation
    • Human-Infrastructure Interaction, Modeling Human Behavior, Bounded Rationality, Satisficing
  • Methodology:
    • Computational Methods
    • Large-Scale Optimization, Robust Optimization, Bi-level Optimization
    • Deep Reinforcement Learning, Neural Combinatorial Optimization
    • Computational Game Theory, Market Design, Combinatorial Auction, Stable Matching


  • Office: E2-1 #4210
  • Email:
  • Phone: +82-42-350-3138
  • Mailing Address:
  • Changhyun Kwon
    KAIST, E2-1, #4210
    291 Daehak-ro,
    Yuseong-gu, Daejeon 34141,
    Republic of Korea

    대전광역시 유성구 대학로 291
    E2-1 산업경영학동 4210호