About
Profile
Dr. YongKyung Oh serves as a postdoctoral researcher at the University of California, Los Angeles (UCLA) Health - David Geffen School of Medicine. He contributes as a member of the UCLA Medical & Imaging Informatics (MII) group, under the leadership of Dr. Alex Bui. Prior to joining UCLA MII, he held a postdoctoral researcher position at the Industry Intelligentization Institute at the Ulsan National Institute of Science and Technology (UNIST). He received his Ph.D. in Industrial Engineering from UNIST, under the supervision of Dr. Sungil Kim. Prior to pursuing his Ph.D., he earned his Master's degree in Technology and Innovation Management and his B.Sc. in Physics, both from UNIST.
His research focuses on developing and applying domain-specific machine learning and deep learning techniques to address complex real-world problems across a diverse range of fields. This interdisciplinary approach spans multiple sectors, including medical, healthcare, manufacturing, energy, transportation, maritime operations, logistics, supply chain and so forth. His proficiency encompasses domain-specific AI techniques, and he provides insightful perspectives on practical implementations. In addition to his academic pursuits, he has gained valuable industry experience through visiting researcher positions at Carnegie Mellon University (CMU), General Motors (GM) Global R&D Center, and the Institute of Theoretical Physics and Astrophysics (ITAP) of Kiel University, Germany. Furthermore, he has participated in student consulting projects for companies including CSL Behring, IBM, and Deere&Company.
His research focuses on developing and applying domain-specific machine learning and deep learning techniques to address complex real-world problems across a diverse range of fields. This interdisciplinary approach spans multiple sectors, including medical, healthcare, manufacturing, energy, transportation, maritime operations, logistics, supply chain and so forth. His proficiency encompasses domain-specific AI techniques, and he provides insightful perspectives on practical implementations. In addition to his academic pursuits, he has gained valuable industry experience through visiting researcher positions at Carnegie Mellon University (CMU), General Motors (GM) Global R&D Center, and the Institute of Theoretical Physics and Astrophysics (ITAP) of Kiel University, Germany. Furthermore, he has participated in student consulting projects for companies including CSL Behring, IBM, and Deere&Company.
Work Experiencecs
UCLA Health - David Geffen School of Medicine (Los Angeles, CA, US): Postdoctoral researcher, 2023 ~
- Contribute as a member of the UCLA Medical & Imaging Informatics group, under the leadership of Prof. Alex Bui
UNIST Industry Intelligentization Institute (Ulsan, Korea): Postdoctoral researcher, 2023 ~ 2024
- Contribute as a member of the UNIST Data Analytics Lab, under the supervision of Prof. Sungil Kim
UNIST Data Analytics Lab (Ulsan, Korea): Graduate researcher & Laboratory Leader, 2018 ~ 2022
- Advisor: Prof. Sungil Kim | Department of Industrial Engineering
- Contributed as a founding lab leader at the UNIST Data Analytics Lab, under the supervision of Prof. Sungil Kim
- Conducting innovative machine learning and deep learning methods to solve complex real-world problems
Carnegie Mellon University (Pittsburgh, PA, US): Visting Researcher, 2020
- High-Potential Individuals Global Training Program fully supported by IITP and Korean Government.
- Attend core courses and conduct project-based on IoT, machine learning, and deep learning.
- CMU Studio Project: Conversational Chatbot. [demo]
General Motors Global Technology Center (Detroit, MI, US): Visting Researcher, 2017
- Mentor: Dr. Wayne Cai / Research support for automotive manufacturing operation
- Perform analytical analysis using experimental data. Develop a multi-platform welding simulation tool for GM internal users. [demo]
Accenture Korea (Seoul, Korea): Research Assistant, 2016
- Lotte Duty Free Shop – New Generation System Integration Project
- Work support for the planning team, translation, and PMO (project management office)
Institute of Theoretical Physics and Astrophysics (ITAP), CAU, (Kiel, Germany): IAESTE Research Intern, 2014
- Mentor: Prof. Sebastian Wolf / Astrophysics- Mechanism of Interstellar Dust Alignment
- IAESTE internship / Conduct simulations and code analysis with C and Fortran
Academic Backgroud
Ph.D. in Industrial Engineering at UNIST, 2023
- Thesis: A Comprehensive Study of Deep Learning for Real-World Multivariate Time Series Classification
- Advisor: Sungil Kim
M.S. in Technology and Innovation Management at UNIST, 2017
- Management of Technology (MOT) degree, Association to Advance Collegiate Schools of Business (AACSB) certified
- Dissertation Paper (Capstone Project): Discussion of the meaning and components of the fourth industrial revolution, and recommendations for Korea to prepare for the fourth industrial revolution
- Advisor: KwangWook Gang
B.S. in Natural science at UNIST, 2015
- Major – Physics
- Double Minor – Mechanical Engineering & Advanced Material Science
- Valedictorian, Magna cum Laude, Accomplished total 181 credits
Grants and Fellowships
- Principal Investigator: Postdoctoral Fellowship for Overseas Research (Nurturing Next-generation Researchers)
- Research Title: "Approach to Detect Distribution Shifts Over Time and Evaluate Model Trustworthy with Retraining in Longitudinal Medical Data"
- Source: National Research Foundation of Korea (NRF)
- Amount: KRW 60,000,000 (Approximate USD 43,478 as of June 3rd, 2024)
- Duration: September 1st, 2024 - August 31st, 2025
- Researcher & Trainee: High-Potential Individuals Global Training Program
- Source: Korea Health Industry Development Institute (KHIDI)
- Amount: Approximate USD 50,000 as of March 13th, 2023
- Duration: September 1st, 2023 - August 31st, 2024
- Researcher & Trainee: Biomedical UniStar Training Program
- In-depth training program at Carnegie Mellon University (CMU)
- Source: Institute for Information & communication Technology Planning & evaluation (IITP)
- Amount: Approximate USD 45,000 as of January 1st, 2020
- Duration: January 13th, 2020 - July 3rd, 2020
Academic Scholarship
- UNIST Graduate Scholarship (Ph.D. degree), UNIST, 2018-2022
- FISITA Travel Bursary Scholarship, FISITA - International Federation of Automotive Engineering Societies, 2017
- UNIST - GM Internship Fellowship, UNIST, General Motors, 2017
- UNIST Graduate Scholarship (Master degree), UNIST, 2015-2016
- UNIST Undergraduate Scholarship, UNIST, 2011-2014
Research Awards and Honors
- IISE 2025 DAIS Division Best Paper Competition Finalist
Oh, Y., & Bui, A. (2025), Multi-Scale Transformer for Long-Term Time Series Forecasting, Data Analytics and Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2024, May 2025. [slide] - IISE 2024 DAIS Division Best Paper Competition Finalist
Oh, Y., Lim, D., & Kim, S. (2024), Neural CDE-Flow for Irregular Time Series: Integrating Neural Controlled Differential Equations and Neural Flow for Comprehensive Irregularly-sampled Time Series Analysis, Data Analytics and Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2024, May 2024. [slide] - KCC 2023 Best Research Paper Award
Oh, Y., & Kim, S. (2023), Flow-based Neural Differential Equations for Time series Analysis, Artificial Intelligence Division, Korea Computer Congress (KCC) 2023, Korean Institute of Information Scientists and Engineers (KIISE), June 2023. [slide] - KCC 2023 Best Oral Presentation Award
Oh, Y., & Kim, S. (2023), Heterogeneous Model Fusion for Enhanced Sensor-Based Human Activity Recognition, Artificial Intelligence Division, Korea Computer Congress (KCC) 2023, Korean Institute of Information Scientists and Engineers (KIISE), June 2023. [slide] - IISE 2023 DAIS Division Best Paper Competition Finalist
Oh, Y., & Kim, S. (2023), Neural Stochastic Differential Equations Based on the Ornstein-Uhlenbeck Process, Data Analytics and Information Systems (DAIS) Division, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2023, May 2023. [slide] - IISE 2021 LSC Division Best Paper Award
Oh, Y., & Kim, S. (2021), Logistics Anomaly Detection with Maritime Big Data: A Bootstrap Approach, Logistics & Supply Chain (LSC) Division, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2021, May 2021. [slide] [news] - Distinguished Paper Award
Oh, Y., Lim, D., Hong, D., Lee, J., & Park, J. (2019), Strategy for Maritime Startup Ecosystem, Graduate Student Academic paper competition by Ulsan Development Institute, December 2019. - Distinguished Paper Award
Oh, Y., Lim, D., Hong, D., Lee, J., & Park, J. (2019), Suggestion for Smart Port in industry 4.0, International Conference on Maritime - Academic paper competition, Dongseo University and Ministry of Maritime Affairs and Fisheries, November 2019.
Competition Award
- Featured study, Medical Informatics Homecoming Day, Asan Medical Center & Ministry of Health and Welfare, 2023
- 3rd place, A Comprehensive Analysis of Regional Commercial Districts and Their Role in Supporting the Success of Young Entrepreneurs, Korea Land & Housing Corporation, 2021
- 1st place, Professional Training for Medical Data Analysis, Asan Medical Center & Ministry of Health and Welfare, 2020
- 2nd place in the Medical Startup Festa, Center for Creative Economy and Innovation, Ulsan, 2018
- 1st place (Minister Award) in the Korea R&D Festival – KOREA MOTIE, KIAT, Ministry of Trade, Industry and Energy, 2017
Patents
- Apparatus and method for human activity recognition through hybrid fusion of dynamic and static data. | Co-inventor, (KR 10-2024-0033382, applied March 8, 2024)
- Encoding apparatus and method for converting time series data into images | Co-inventor (KR 10-2024-0101063, granted July 2, 2024) (KR 10-2022-0183341, applied December 23, 2022).
- Method, computer device, and computer program to predict road congestion propagation using pattern matching | Co-inventor (KR 10-2608343-0000, granted November 27, 2023) (JP2023039925A, published March, 20, 2023) (JP 2022-137508, applied August 31, 2022) (KR 10-2021-0120229, applied September 9, 2021).
- Method, computer device, and computer program to predict propagation time delay lag of road congestion using transfer entropy | Co-inventor (KR 10-2604575-0000, granted November 16, 2023) (JP2023039418A, published March, 20, 2023) (JP 2022-137509, applied August 31, 2022) (KR 10-2021-0119772, applied September 8, 2021).
- Method of Anomaly detection of vessels applying bayesian bootstrap | Co-inventor (KR 10-2534357-0000, granted May 16, 2023) (KR 10-2020-0178651, applied December 18, 2020).
- Sensor drift compensation for mixed gas classification in E-nose system | Co-inventor (US 18/012,626, applied December 22, 2022) (KR 10-2364019-0000, granted February 14, 2022) (PCT/KR2021/010729, applied August 12, 2021) (KR 10-2020-0101037, applied August 12, 2020).
- Method and apparatus for determining delay possibility of shipment | Co-inventor (KR 10-2250354-0000, granted May 4, 2021) (PCT/KR2020/015854, applied November 12, 2020) (KR 10-2019-0158913, applied December 3, 2019).
Teaching Experiences
- (Spring-Fall, 2021) Undergraduate Interdisciplinary Research Project | Teaching Assistant
- Research Topic: Data analytics and statistical modeling for traffic congestion propagation
- Advise overall project and presentation. Featured undergraduate student research at KIIE Fall Conference
- Yeo J., Seo H., and Shim S., "A Methodology for Predicting Traffic Accidents Using Road Network Structure", KIIE Fall Conference, November 2021
- (Fall 2019) MGT205, Financial Accounting | Teaching Assistant
- (Fall 2019) MGT206, Managerial Accounting | Teaching Assistant
- (Fall, 2018) MGT206, Managerial Accounting | Teaching Assistant
- (Spring, 2018) MGE362, Quality Management | Teaching Assistant
- (Fall, 2017) TIM614, Integration of IT, Manufacturing, and Operational Systems | Teaching Assistant
- (Spring, 2016) MGT473, Entrepreneurship and Venture Management | Teaching Assistant
- (Fall, 2015) AHS230, Recent Trends in Science and Technology Business of Korea | Teaching Assistant
- (Spring, 2015) MGT410, Psychology and Marketing | Teaching Assistant