I'm an M.S./Ph.D. combined student 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.

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

• Anomaly detection on AIS data using policy extraction

• 2024.09 –
  M.S./Ph.D. Combined, Industrial Engineering

  UNIST, Data Analytics Lab
• 2023.06
  – 2024.08
  Undergraduate Intern

  UNIST, Data Analytics Lab
• 2021.03
  – 2024.08
  B.S. in Industrial Engineering

  UNIST