About Me
I am a Ph.D. student in Industrial Engineering at UNIST under the supervision of Professor Sungil Kim. My work involves Neural Differential Equations, Conditional Density Estimation, and Survival Analysis, which I apply to problems such as real-time anomaly detection, astronomical object anomaly detection, longitudinal patient outcome prediction, and personalized thyroid hormone dosage recommendation.
Research Interests
- Irregularly sampled time series analysis
- Time series anomaly detection & reliability analytics in manufacturing & healthcare
- Multi-risk longitudinal survival analysis in healthcare
- Irregular astronomical time series anomaly detection
Milestones
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2024.06
–
Ph. D. Candidate in Industrial Engineering
Passed Qualifying Exam
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2022.02
–
M.S.-Ph. D. in Industrial Engineering
Ulsan National Institute of Science and Technology, Data Analytics Lab
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2015.02
– 2022.02
B.S. in Industrial Engineering
Industrial Engineering, Ajou University
Current Work
- Real-Time Quasar Anomaly Detection
- Irregular Astronomical Time Series Anomaly Detection
- Longitudinal Multi-risk Survival Analysis
- Thyroid Hormone Dosage Recommendation
For more information, please visit my website.