CV

Curriculum Vitae of Kyuil Sim.

Contact Information

Name Kyuil Sim
Professional Title M.S. Student
Email kyuil.sim@kaist.ac.kr
Phone (+82) 010-7237-3164

Professional Summary

My research focuses on leveraging Machine Learning for Combinatorial Optimization (ML4CO), with a specific emphasis on Mixed-Integer Linear Programming (MILP). I am currently exploring the development of discrete diffusion models as a novel framework for solving these complex optimization challenges

Education

Research Experience

  • 2024 - 2024

    Daejeon, South Korea

    Undergraduate Research Intern
    System Intelligence Lab, KAIST
    Advisor: Prof. Jinkyoo Park. Focus: Neural Combinatorial Optimization, Reinforcement learning.
  • 2023 - 2024

    Seoul, South Korea

    Undergraduate Researcher
    Financial Innovation & AnalytiX Lab, HYU
    Advisor: Prof. Jaewook Song. Focus: link optimization, collision probability estimation.

Teaching Experience

  • 2025 - 2025

    Teaching Assistant
    KAIST
    IE251: Manufacturing Process Innovation

Publications

  • 2026
    Solving Integer Linear Programming with Parallel Tempering
    ICML Workshop
  • 2026
    Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
    ICML Workshop
  • 2025
    Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization
    NeurIPS Workshop
  • 2024
    AstroLibrary: A library for real-time conjunction assessment and optimal collision avoidance
    JSSE

Other Experiences

  • 2023 - 2024

    Intern
    SPACEMAP
    Develop the algorithm, and manage the backend.

References

  • Prof. Jinkyoo Park

    Associate Professor, Department of Industrial and Systems Engineering, KAIST.
    Adjunct Associate Professor, Graduate School of Data Science and Graduate School of AI, KAIST.
    Email: jinkyoo.park@kaist.ac.kr

  • Prof. Jaewook Song

    Associate Professor, Department of Industrial Engineering, Hanyang University.
    Email: jwsong@hanyang.ac.kr