CURRICULUM VITAE

of Yong Chae Kim

 

Ph.D. Student

Seoul National University, Department of Mechanical Engineering

Hyperautomation Artificial Intelligence Lab.

Notarization.  I have read the following and certify that this curriculum vitae is a current and accurate statement of my professional record.

Signature

Date   2024.05.11

1. Education

Seoul National University, Seoul, Republic of Korea

Adviser: Dr. Byeng Dong Youn

Yonsei University, Seoul, Republic of Korea

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

2. Work Experience

Advisory on Establishing Technology Development Strategy for Initial Public Offering (IPO)


PdX Department, Data Scientist Team

 

Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Republic of Korea


Department of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea

3. Publications

3.1. Journal Articles (4 Published)

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.


3.1.1. 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, Published, 2023-04 (SCIE, IF: 4.900, Rank: 20.60%)

[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 (SCOPUS, IF: 2.100)

[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, Published, 2023-10 (SCIE, IF: 8.500, Rank: 6.40%)

[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: 8.500, Rank: 6.40%)


3.2. Conference Proceedings

3.2.1. 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, Nashville, United States of America, October 31-November 4, 2022 (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, Montreal, Canada, June 5-7, 2023 (1st Place Winner in 2023 ICPHM Data Challenge)

[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, Tokyo, Japan, September 11-14, 2023 (2nd Place Winner in 2023 PHM Asia Pacific Conference Data Challenge)

[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, Tokyo, Japan, September 11-14, 2023

[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, Busan, Korea, November 5-8, 2023

 

    3.2.2. 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, Busan, Korea, May 18-21, 2022.

[DCP2]   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, Seoul, Korea, June 29 - July 01, 2022.

[DCP3]   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, Seoul, Korea, June 29 - July 01, 2022.

[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, Busan, Korea, May 18-21, 2022.

[DCP5]   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, Busan, Korea, May 18-21, 2022.

[DCP6]   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, Busan, Korea, May 18-21, 2022.

[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, Jeju, Korea, November 9-12, 2022.

[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, Busan, Korea, May 17-20, 2023.

[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, Busan, Korea, May 17-20, 2023.

[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, Busan, Korea, May 17-20, 2023.

[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, Seoul, Korea, July 3-5, 2023.

[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, Daejeon, Korea, October 30-31, 2023.

[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, Incheon, Korea, November 1-4, 2023.

[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, Yeosu, Korea, March 20-22, 2024.

[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, Jeju, Korea, May 1-4, 2024.

[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, Jeju, Korea, May 1-4, 2024.

 

4. Patents Registration and Application

4.1. Registraion

[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.

4.2. Application

[PA1]   Byeng D. Youn, Jinwook Lee, Taehun Kim, Yong Chae Kim, Jonghwa Baek, "Fault Diagnosis Apparatus and Methods for Rotating Mechanical System ", Patent Application, Republic of Korea, 10-2024-0048216, 2024-04-09.

5. Awards, Prizes, and Recognitions


 6. Scholarships