CURRICULUM VITAE
of Yong Chae Kim
CURRICULUM VITAE
of Yong Chae Kim
Yong Chae Kim
Ph.D. Candidate
Seoul National University, Department of Mechanical Engineering
Hyperautomation Artificial Intelligence Lab.
Education
Bachelor of Science (B.S.) | Yonsei University, Seoul, Republic of Korea 2016.03 – 2022.02
Department of Mechanical Engineering
Graduated with highest honor (1/142) | GPA 4.21 / 4.3
Undergraduate Thesis: Fault Detection of Rolling Bearing based on Machine Learning:
Proposal of Sample Length Decision Method
Master-Doctorate Combined | Seoul National University, Seoul, Republic of Korea 2022.03 - Present
Department of Mechanical Engineering
GPA 4.04 / 4.3
Adviser: Dr. Byeng Dong Youn
Doctoral Dissertation: Domain Knowledge Embedded Artificial Intelligence Based Data Drift Management for Fault Diagnosis of Rotating Machinery (Expected)
Work Experience
Undergraduate Internship, Multiphysics Energy System Laboratory (MESL) 2020.07 – 2020.08
Yonsei University, Department of Mechanical Engineering, Seoul, Republic of Korea
Undergraduate Internship, Hyperautomation Artificial Intelligence Lab. (HAI) 2020.12 – 2022.02
Seoul National University, Department of Mechanical Engineering, Seoul, Republic of Korea
Internship, onepredict Inc., Seoul, Republic of Korea 2023.06 – 2023.12
PdX Department, Data Scientist Team
Freelancer, onepredict Inc., Seoul, Republic of Korea 2024.02 – 2024.04
Advisory on Establishing Technology Development Strategy for Initial Public Offering (IPO)
Research Projects
AI-Driven Diagnosis of Aircraft Anomalies Using Flight Data 2022.03 – 2024.06
Korea Aerospace Industries, Ltd.
Development of Deep Learning (DL Backbone) Framework 2024.08 – 2024.10
onepredict Inc.
Development and Demonstration of PBV (Purpose-built electric vehicle) using 2024.07 – Present
Design Platforms
Korea Planning&Evaluation Institute of Industrial Technology (KEIT)
Domain Knowledge Embedded Artificial Intelligence Based Data Drift 2024.09 – Present
Management for Fault Diagnosis of Rotating Machinery (PI)
National Research Foundation of Korea (NRF)
Reviewer for Scientific Journals
International Journal of Prognostics and Health Management [2024]
Engineering Applications of Artificial Intelligence [2024]
International Journal of Precision Engineering and Manufacturing-Green Technology [2025]
Publications
Journal Articles
Note on that the superscript (FA) is used to indicate the equally contributing first authors, and the superscript (CA) is used to indicate the corresponding author.
Published
[J1] Jin Uk Ko, Jinwook Lee, Taehun Kim, Yong Chae Kim, and Byeng D. Youn(CA), "Deep-learning-based Fault Detection and Recipe Optimization for a Plastic Injection Molding Process Under the Class Imbalance Problem", Journal of Computational Design and Engineering, 2023.04 (SCIE, IF: 4.8, Rank: 11.5%) [DOI]
[J2] Yong Chae Kim, Taehun Kim, Jin Uk Ko(CA), Jinwook Lee, and Keon Kim, "Domain Adaptation based Fault Diagnosis under Variable Operating Conditions of a Rock Drill", International Journal of Prognostics and Health Management, 2023.07 (ESCI, IF: 1.4) [DOI]
[J3] Jin Uk Ko, Jinwook Lee, Taehun Kim, Yong Chae Kim, and Byeng D. Youn(CA), "Frequency-learning generative network (FLGN) to generate signals of variable lengths", Expert Systems with Applications, 2023.10 (SCIE, IF: 7.5, Rank: 5.2%) [DOI]
[J4] Jinwook Lee, Jin Uk Ko, Taehun Kim, Yong Chae Kim, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Domain Adaptation with Label-Aligned Sampling (DALAS) for Cross-Domain Fault Diagnosis Under Class Imbalance", Expert Systems with Applications, 2024.06, (SCIE, IF: 7.5, Rank: 5.2%) [DOI]
[J5] Yong Chae Kim, Jinwook Lee, Taehun Kim, Jonghwa Baek, Jin Uk Ko, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing", Reliability Engineering & System Safety, 2024.10, (SCIE, IF: 9.4, Rank: 3.3%) [DOI]
[J6] Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Spectrum-guided GAN with Density-Directionality Sampling: Diverse High-fidelity Signal Generation for Fault Diagnosis of Rotating Machinery", Advanced Engineering Informatics, 2024.10, (SCIE, IF: 8.0, Rank: 2.0%) [DOI]
[J7] Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Latent Space Alignment based Domain Adaptation (LSADA) for Fault Diagnosis of Rotating Machinery", Advanced Engineering Informatics, 2024.10, (SCIE, IF: 8.0, Rank: 2.0%) [DOI]
Submitted and In Preparation
[J8] Yong Chae Kim, Bongmo Kim, MinJung Kim, Sang Kyung Lee, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Physics knowledge based deep-learning approach for wear estimation and remaining useful life prediction of CNC milling machine tool under industrial uncertainty", Journal of manufacturing systems, Submitted, (SCIE, IF: 12.3, Rank: 0.5%)
[J9] MinJung Kim, Yong Chae Kim, Jongmin Park, Jinoh Yoo, Taehyung Kim, Jong Moon Ha(CA), and Byeng D. Youn(CA), "Deep learning-based tacholess instantaneous speed estimation of rotating machinery using vibration signals with a selective multi-order frequency module", Measurement, Submitted, (SCIE, IF: 5.2, Rank: 9.1%)
[J10] Bongmo Kim, Yong Chae Kim, Hyunhee Choi, Taejin Kim(CA), and Byeng D. Youn(CA, "Battery Maximum Available Capacity Estimation in Partial Charge Curve with Current Charge State Invariant Feature", Applied Energy, In Preparation, (SCIE, IF: 10.1, Rank: 6.2%)
[J11] Jonghwa Baek, Jinwook Lee, Taehun Kim, Yong Chae Kim, Juhyun Kim, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Vision-based Adaptive Filter for Anomaly Detection in Rotating Machinery", IEEE Transactions on instrumentation and measurement, In Preparation, (SCIE, IF: 5.6, Rank: 11.2%)
[J12] Juhyun Kim, Yong Chae Kim, Jinwook Lee, Jonghwa Baek, Joon Ha Jung(CA), and Byeng D. Youn(CA), "Noise Level Estimation and Time-Frequency Attention-Based Diffusion Model (TFADM) for Vibration Signal Denoising ", IEEE Transactions on Industrial Informatics, In Preparation, (SCIE, IF: 11.7, Rank: 1.5%)
Conference Proceedings
International Conference
[ICP1] Yong Chae Kim, Taehun Kim, Jin Uk Ko, Jinwook Lee and Keon Kim, and Byeng D. Youn, "Domain Adaptation based Fault Diagnosis under Variable Operating Conditions of a Rock Drill," Presented at the Annual Conference of the Prognostics and Health Management Society 2022, 2022.11.03, Nashville, United States of America (2nd Place Winner in 2022 PHM Society Data Challenge)
[ICP2] Yong Chae Kim, Seungyun Lee, Sang Kyung Lee, Bongmo Kim, Jiwon Lee, Jinwook Lee and Byeng D. Youn, "Inter-class Metric Learning based Depth-wise Convolutional Neural Network for Gear Fault Diagnosis," Presented at the 2023 IEEE Conference on Prognostics and Health Management, 2023.06.06, Montreal, Canada (1st Place Winner in 2023 ICPHM Data Challenge) [DOI]
[ICP3] Sang Kyung Lee, Jiwon Lee, Seungyun Lee, Bongmo Kim, Yong Chae Kim, Jinwook Lee and Byeng D. Youn, "Hybrid Approach of Xgboost and Rule-based Model for Fault Detection and Severity Estimation in Spacecraft Propulsion System," Presented at Asia Pacific Conference of the Prognostics and Health Management Society 2023, 2023.09.13, Tokyo, Japan (2nd Place Winner in 2023 PHM Asia Pacific Conference Data Challenge) [DOI]
[ICP4] Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim, Joon ha Jung, and Byeng D. Youn, "Sequential Domain Adaptation for Fault Diagnosis in Rotating Machinery," Presented at the Asia Pacific Conference of the Prognostics and Health Management Society 2023, 2023.09.14, Tokyo, Japan [DOI]
[ICP5] Donghyu Lee, Yong Chae Kim, Gyeong Ryun Gwon, and Byeng D. Youn, "AI-Driven Diagnosis of Aircraft Anomalies using Flight Data Correlation Errors," Presented at the 14th International Symposium on NDT in Aerospace, 2023.11.08, Busan, Korea
[ICP6] Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, Byeng D. Youn, Joon Ha Jung, "Synthetic Signal Generation Framework for Fault Diagnosis of Rotating Machinery with Limited Fault Data," Presented at the ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2024), 2024.08.28, Washington, D.C., USA
Domestic Conference (Republic of Korea)
[DCP1] Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim, and Byeng D. Youn, “Pseudo-labeling-based Domain Adaptation for Fault Diagnosis in Rotating Machinery,” Presented at the Korean Society of Mechanical Engineers (KSME) 2022 Spring Annual Meeting - CAE and Applied Mechanics Division, 2022.05.19, Busan, Korea
[DCP2] Jin Uk Ko, Jinwook Lee, Taehun Kim, Yong Chae Kim, and Byeng D. Youn, “AI-based optimization of plastic injection molding process using class imbalanced data,” Presented at the Korean Society of Mechanical Engineers (KSME) 2022 Spring Annual Meeting - CAE and Applied Mechanics Division, 2022.05.19, Busan, Korea
[DCP3] Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, and Byeng D. Youn, “Latent Space Analysis of GAN for Reliable Signal Generation in Rotating Machinery,” Presented at the Korean Society of Mechanical Engineers (KSME) 2022 Spring Annual Meeting - CAE and Applied Mechanics Division, 2022.05.20, Busan, Korea
[DCP4] Jinwook Lee, Jin Uk Ko, Taehun Kim, Yong Chae Kim, and Byeng D. Youn, “Sampling-based Unsupervised Domain Adaptation for Fault Diagnosis of Rotating Machinery Under Various Working Condition with Class Imbalance,” Presented at the Korean Society of Mechanical Engineers (KSME) 2022 Spring Annual Meeting - CAE and Applied Mechanics Division, 2022.05.20, Busan, Korea
[DCP5] Jinwook Lee, Jin Uk Ko, Taehun Kim, Yong Chae Kim, and Byeng D. Youn, “Sampling-based Unsupervised Domain Adaptation for Fault Diagnosis of Rotating Machinery,” Presented at the PHM Korea 2022, 2022.06.30, Seoul, Korea
[DCP6] Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, and Byeng D. Youn, “Unseen Signal Generation Through Latent Space Analysis of GAN in Rotating Machinery,” Presented at the PHM Korea 2022, 2022.07.01, Seoul, Korea
[DCP7] Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim, and Byeng D. Youn, “Instance Distance in Latent Space based Domain Adaptation for Fault Diagnosis in Rotating Machinery,” Presented at the Korean Society of Mechanical Engineers (KSME) 2022 Annual Meeting, 2022.11.11, Jeju, Korea
[DCP8] Jinwook Lee, Jin Uk Ko, Taehun Kim, Yong Chae Kim, Jonghwa Baek, Joon Ha Jung, and Byeng D. Youn, “A Study of Cross-Domain Fault Diagnosis of Rotating Machinery Under Data Imbalance Condition,” Presented at the Korean Society of Mechanical Engineers (KSME) 2023 Spring Annual Meeting - CAE and Applied Mechanics Division, 2023.05.18, Busan, Korea
[DCP9] Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, Jonghwa Baek, Joon Ha Jung, and Byeng D. Youn, “An Improvement of Generative Adversarial Networks for Maximizing Performance of Fault Diagnosis under Limited Data,” Presented at the Korean Society of Mechanical Engineers (KSME) 2023 Spring Annual Meeting - CAE and Applied Mechanics Division, 2023.05.18, Busan, Korea
[DCP10] Yong Chae Kim, Taehun Kim, Jin Uk Ko, Jinwook Lee, Keon Kim, and Byeng D. Youn, “Multi-source Domain Adaptation based Fault Diagnosis under Variable Operating Conditions of a Hydraulic Rock Drill,” Presented at the Korean Society of Mechanical Engineers (KSME) 2023 Spring Annual Meeting - CAE and Applied Mechanics Division, 2023.05.18, Busan, Korea
[DCP11] Yong Chae Kim, Seungyun Lee, Sang Kyung Lee, Bongmo Kim, Jiwon Lee, Jinwook Lee and Byeng D. Youn, “Metric Learning based Gear Fault Diagnosis for Real-time Signals,” Presented at the PHM Korea 2023, 2023.07.04, Seoul, Korea
[DCP12] Jonghwa Baek, Jinwook Lee, Taehun Kim, Yong Chae Kim, Joon Ha Jung, and Byeng D. Youn, “Cost Reduction Strategies for Military Equipment Operation and Maintenance through Fault Diagnosis Based on Computer Vision” Presented at the 16th International Army Modeling and Simulation Education Conference, 2023.10.31, Daejeon, Korea
[DCP13] Yong Chae Kim, Jinwook Lee, Taehun Kim, Jonghwa Baek, Jin Uk Ko, Joon Ha Jung, and Byeng D. Youn, “Partial Transfer Learning using Envelope Filter for Fault Diagnosis of Bearing,” Presented at the Korean Society of Mechanical Engineers (KSME) 2023 Annual Meeting, 2023.11.03, Incheon, Korea
[DCP14] Taehun Kim, Jinwook Lee, Yong Chae Kim, Jonghwa Baek, Juhyun Kim, Joon Ha Jung, and Byeng D. Youn, “Deep-learning-based Generative Model with Improved Quality and Diversity under Limited Data,” Presented at the Korean Society of Mechanical Engineers (KSME) 2024 Spring Annual Meeting - Reliability Division, 2024.03.21, Yeosu, Korea
[DCP15] Bongmo Kim, Hyunhee Choi, Yong Chae Kim, Gyeongryun Gwan, Taejin Kim, and Byeng D. Youn, “Feature Engineering of Incremental Capacity Analysis Data for State-of-Health Estimation of Lithium-Ion Batteries,” Presented at the Korean Society of Mechanical Engineers (KSME) 2024 Spring Annual Meeting - CAE and Applied Mechanics Division, 2024.05.02, Jeju, Korea
[DCP16] Yong Chae Kim, Bongmo Kim, MinJung Kim, Sang Kyung Lee, Joon Ha Jung, and Byeng D. Youn, “Transformer-Based Prediction of Tool Remaining Useful Life in CNC Milling Machines Using Physical Knowledge,” Presented at the Korean Society of Mechanical Engineers (KSME) 2024 Spring Annual Meeting - CAE and Applied Mechanics Division, 2024.05.02, Jeju, Korea
[DCP17] Jinwook Lee, Taehun Kim, Yong Chae Kim, Jonghwa Baek, Juhyun Kim, Joon Ha Jung, and Byeng D. Youn, “Multi-Source Domain Adaptation based on Dual-Level Weighting for Fault Diagnosis of Rotating Machinery,” Presented at the PHM Korea 2024, 2024.06.25, Seoul, Korea
[DCP18] Jonghwa Baek, Jinwook Lee, Taehun Kim, Yong Chae Kim, Juhyun Kim, Joon Ha Jung, and Byeng D. Youn, “Vision-based Motion Magnification and Temporal Bandpass Filter for Anomaly Detection of Rotating Machinery,” Presented at the PHM Korea 2024, 2024.06.26, Seoul, Korea
[DCP19] Juhyun Kim, Jinwook Lee, Taehun Kim, Yong Chae Kim, Jonghwa Baek, Joon Ha Jung, and Byeng D. Youn, “Development of a noise estimation and Diffusion model-based restoration network for denoising rotational vibration signals,” Presented at the Korean Society of Mechanical Engineers (KSME) 2024 Annual Meeting, 2024.11.06, Jeju, Korea
[DCP20] Jonghwa Baek, Jinwook Lee, Taehun Kim, Yong Chae Kim, Juhyun Kim, Joon Ha Jung, and Byeng D. Youn, “Detection of Rotating Machinery Anomalies Using Video-Based Motion Amplification and Temporal Bandpass Filtering,” Presented at the Korean Society of Mechanical Engineers (KSME) 2024 Annual Meeting, 2024.11.08, Jeju, Korea
[DCP21] Yong Chae Kim, Juhyun Kim, Joon Ha Jung, and Byeng D. Youn, “Bearing Condition Estimation Framework using Object Detection for Data Drift Management,” Presented at the Korean Society of Mechanical Engineers (KSME) 2025 Spring Annual Meeting - CAE and Applied Mechanics Division, 2025.05.17, Jeju, Korea
[DCP22] Juhyun Kim, Yong Chae Kim, Gyeong Ryun Gwon, Wonbin Song, Joon Ha Jung, and Byeng D. Youn, “Hyper-Autonomous Smart Manufacturing: Deep Learning-Based Failure Prediction and Optimal Candidate Selection,” Presented at the Korean Society of Mechanical Engineers (KSME) 2025 Spring Annual Meeting - CAE and Applied Mechanics Division, 2025.05.17, Jeju, Korea
Patents Registration and Application
Registration
[PR1] Byeng D. Youn, Jin Uk Ko, Jinwook Lee, Taehun Kim, and Yong Chae Kim, “Method for Training Fault Detection Model of Injection Molding Process and Method for Optimizing Recipe of Injection Molding Process,” Patent Registration, Republic of Korea, 10-2479531, 2022.12.15
Application
[PA1] Byeng D. Youn, Jinwook Lee, Taehun Kim, Yong Chae Kim, and Jonghwa Baek, "Fault Diagnosis Apparatus and Methods for Rotating Mechanical System," Patent Application, Republic of Korea, 10-2024-0048216, 2024.04.09
[PA2] Byeng D. Youn, Yong Chae Kim, Jinwook Lee, Taehun Kim, Jin Uk Ko, and Joon Ha Jung " Fault Diagnosis Apparatus And Method Using Latent Space Alignment Based Domain Adaptation," Patent Application, Republic of Korea, 10-2024-0125101, 2024.09.12
Awards, Prizes, and Recognitions
Academic High Honor Award, Yonsei University 2017.02
Academic Highest Honor Award, Yonsei University 2019.08
Academic Highest Honor Award, Yonsei University 2020.02
Academic High Honor Award, Yonsei University 2020.08
Academic Highest Honor Award, Yonsei University 2021.02
Academic Highest Honor Award, Yonsei University 2021.08
Summa Cum Laude Award, Yonsei University 2022.02
Encouragement Award, Hyundai Heavy Industries Group The 2nd Shipbuilding/Marine 2022.02
Big Data/AI Contest for Digital Innovation
Winner (The 2nd Place Winner), PHM Society 2022 Data Challenge Competition 2022.08
Excellence Prize, POSTECH Open Innovation Big Data Challenge Competition 2022.12
Winner (The 1st Place Winner), 2023 IEEE ICPHM Data Challenge Competition 2023.06
Winner (The 2nd Place Winner), PHM Asia Pacific Conference 2023 Data Challenge 2023.07
Competition
Encouragement Award, POSTECH Open Innovation Big Data Challenge Competition 2023.12
Top Award, Factory Hack Korea 2024 2024.01
Top Award, Student Competition of the Korean Society of Mechanical Engineers 2024.05
- CAE and Applied Mechanics Division
Silver Award, Student Competition of the Korean Society of Mechanical Engineers 2025.05
- CAE and Applied Mechanics Division
Teaching Assistant
Lecture
Roles: Planning and lecturing weekly problem-solving sections; grading homework assignments, team projects, and mid-term and final exams; instructing laboratory work and preparing students to solve problems in groups; holding regular office hours.
Courses: Probabilistic Engineering Analysis and Design (M2794.007800) 2024.03 – 2024.06
Bachelor’s Thesis
Roles: Weekly research meeting; guiding research direction and editing the thesis.
Students
1) Mingyu Kim, “Deep Learning-based Fault Diagnosis of Journal Bearing Rotor” 2023.09 – 2024.06
2) Chan Lee, “Generative Model using Vibration Signal of Gearbox” 2024.12 – 2025.02
Scholarships
National Graduate Science & Technology Scholarship, Korea Student Aid 2016.03 – 2022.02
Foundation (KOSAF)
SNU - Fellowship Scholarship as the 4th BK21 Outstanding Graduate 2022.03 – 2023.02
Student, Seoul National University
Kwanjeong Educational Foundational Scholarship, Kwanjeong Educational 2022.03 – 2024.02
Foundation
Research Scholarship for Ph.D. studies, National Research Foundation of Korea 2014.09 – 2026.08