Yongmin Kim

Combined Master-Doctor · 2024.09 —

About Me

I'm a M.S./Ph.D. combined student in Industrial Engineering at UNIST researching mechanism-aware anomaly detection on irregular time-series via behavior cloning and meta-learning, with a focus on context/constraint-aware, real-world systems.

Research Interests

  • Irregularly sampled time-series data analysis
  • Time-series anomaly detection (context/constraint-aware)
  • Mechanism-based detection via behavior cloning (policy/sequence modeling)
  • Meta-learning for rapid cross-domain/task adaptation

Milestones

  1. 2021.03 – 2024.08
    B.S. in Industrial Engineering

    Ulsan National Institute of Science and Technology (UNIST)

  2. 2023.06 – 2024.08
    Undergraduate Intern

    Ulsan National Institute of Science and Technology (UNIST), Data Analytics Lab

  3. 2024.09
    M.S./Ph.D. Combined Program, Industrial Engineering

    Ulsan National Institute of Science and Technology (UNIST), Data Analytics Lab

Current Work

  • Anomaly detection on AIS data using policy extraction