About
AI for Real-World Industrial Systems
I am an M.S. student in Industrial and Management Engineering at POSTECH. I am advised by Prof. Sangwoo Mo in the Multimodal Orchestration of Artificial Intelligence (MOAI) Lab.
My recent research focuses on AI for manufacturing. I use time-series foundation models to analyze, forecast, and detect anomalies in sensor data collected from industrial processes. The goal is to turn raw process signals into interpretable insights that support operational decision-making.
I am open to research collaborations and discussions on industrial AI. Feel free to reach out by email.
Research Interests
- Time-Series Models
- Multimodal Foundation Models
- Agents for Process Operations
Education
M.S. in Industrial and Management Engineering
POSTECH
Industrial Artificial Intelligence Program
B.S. in Economics, Statistics (Double Major)
Korea University
Experience
Research Intern
Dec 2025 – Apr 2026System Intelligence & Analytics (SIA) Lab, Korea University
Research areas: Bayesian Optimization, Prognostics and Health Management (PHM)
Publications
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PRISM: Interpreting Time-series Foundation Models via Zero-shot Basis Decoding
Under review