About Me
Hi, I’m Jongwon Kim, a Ph.D. student at POSTECH. My research interests lie in time series foundation models for diverse downstream tasks, including forecasting and anomaly detection. I also focus on probabilistic models, such as Gaussian processes and Bayesian modeling, and their applications in areas like Bayesian optimization. I have extensive experience collaborating on projects with major industry leaders like Samsung Electronics, SK Hynix, POSCO, and KETI. While my studies have spanned various topics in Industrial Management Engineering and Machine Learning, I currently focus on research emphasizing Quality, Statistics, and Reliability (QSR), aiming to contribute significant advancements to these fields.
Projects
Samsung electronics
2021.06 - 2022.01
Probablistic modeling for part of manufacturing system.
Project manager, probablistic model
KETI
2021.07 - 2021.11 2022.07 - 2022.11 2023.09 - 2023.11
Fish probablistic modeling
Project manager, association problem, survival analysis
POSCO
2023.03 - 2023.11
Regression modeling
Project manager, regression model
SK Hynix
2023.03 - 2023.10 2024.03 - 2024.10
Implemetning anomaly detection model based on timeseries sensor data.
Project manager, timeseries anomaly detection
Samsung research
2024.05 - 2025.05
Modeling graph neural network
Project member, Graph modeling
Ministry of Trade, Industry and Resources
2025.08 - 2028.02
Development of Core Technologies for Manufacturing Foundation Models.
Project manager, timeseries foundation model
Experience
NAVER
Internship
2018.07 - 2018.08
the Korea's largest IT company
User feedback
SMARF
Internship
2019.06 - 2019.08
Start-up company for smart-farm
Implement a bug classification model on small single-board computer. Collect bug data in the field.
Education
POSTECH
Industrial management and engineering and Mathematics B.A.
2015.03 - 2020.02
Double majors
POSTECH
Industrial management and engineering M.S.
2020.03 - 2022.02
Thesis: Constrained Density-Based Spatial Clustering of Applications with Noise (DBSCAN) using Hyperparameter Optimization
POSTECH
Industrial management and enginnering Ph.D.
2022.02 -
Class of 2026
Publications
A probabilistic fish growth model for a smart aquaculture system
KSII Transactions on Internet and Information Systems, 2024
Kim, J., Park, E., Cho, S., Kwon, K. and Ko, Y. M.*
Constrained Density-Based Spatial Clustering of Applications with Noise (DBSCAN) using Hyperparameter Optimization
Knowledge-Based Systems, 2025
Kim, J., Lee.H.Y and Ko. Y. M.*
Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models
International Conference on Learning Representations (ICLR), 2026
Kim, J., Ko, Y. M.*, Yoon, S., Kim, Y., Kim, S. I., Tae, J.
Online surface temperature monitoring system for semiconductor automated test equipment using local Gaussian process
Submitted to IEEE Transactions on Semiconductor Manufacturing (Under minor revision)
Kim, J., Baik, S. M., Yu, D., Kim, J., Ko, Y. M.*
Awards
2020 POSECH OPEN INNOVATION BIG DATA CHALLENGE prize (1st)
Time series prediction for solar power generation
2021 Korea Data Information Science Society Spring Conference Best Poster Award (1st)
Constrained clustering via black box optimization
2022 ICONI conference outstanding paper award
Receive award for the paper entitled "A probabilistic fish growth model for a smart aquaculture system"
2024 Postechian Fellowship
Receive scholarship with 6,000,000 won
A Little More About Me
Book collector, Big fan of Nongshim Red Force (Korean e-sports team),