About Me
Hi, I’m Jongwon Kim, a Ph.D. student at the Pohang University of Science and Technology (POSTECH). My academic interests lie in probabilistic model, including Gaussian processes and Bayesian modeling, along with their applications in areas such as Constrained Bayesian optimization, anomaly detection, and timeseries analysis. I have a rich experience in collaborating on projects with major companies like Samsung Electronics, SK Hynix, POSCO, and KETI. My studies have spanned a variety of topics in industrial management engineering and machine learning. Recently, I have honed my focus on research that emphasizes quality, statistics, and reliability, seeking to contribute significant advancements in these areas.
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
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
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
Kim, J., Lee.H.Y and Ko. Y. M.*
Online surface temperature monitoring system for semiconductor automated test equipment using local Gaussian process
working
Kim, J., Baik, S. M. Ko, Y. M.*
Awards
2024 Postechian Fellowship
Receive scholarship with 6,000,000 won
2022 ICONI conference outstanding paper award
Receive award for the paper entitled "A probabilistic fish growth model for a smart aquaculture system"
2021 Korea Data Information Science Society Spring Conference Best Poster Award (1st)
Constrained clustering via black box optimization
2020 POSECH OPEN INNOVATION BIG DATA CHALLENGE prize (1st)
Time series prediction for solar power generation
A Little More About Me
Book collector, Big fan of Nongshim Red Force (Korean e-sports team),