YongKyung Oh

YongKyung Oh

Postdoctoral researcher at the UCLA Health - David Geffen School of Medicine.

About

Biography

Dr. YongKyung Oh is a Postdoctoral Researcher at the David Geffen School of Medicine, University of California, Los Angeles (UCLA), contributing to the Medical & Imaging Informatics (MII) group. His work at UCLA Health builds upon his postdoctoral research at the Industry Intelligentization Institute at the Ulsan National Institute of Science and Technology (UNIST). His academic training at UNIST was interdisciplinary. He earned a Ph.D. in Industrial Engineering and also completed a Master’s in Technology and Innovation Management and a B.Sc. in Physics. He was nominated as a Finalist for the UCLA Chancellor’s Award for Postdoctoral Research (2025) in recognition of his recent achievements, including the CHIL 2025 Best Paper Award, an ICLR 2024 Spotlight paper, and multiple best paper finalist honors.

His research centers on developing trustworthy and robust AI methodologies to solve complex, real-world problems, with a primary focus on digital healthcare and precision medicine. While his foundational methodologies have proven effective across diverse sectors, including manufacturing, energy, maritime, and logistics, his recent work has increasingly focused on translating these advanced AI techniques to solve critical challenges in medical and healthcare. He possesses deep expertise in tailoring advanced AI techniques for specific domains and provides insightful perspectives on their practical, large-scale implementation.

In parallel with his academic pursuits, Dr. Oh has cultivated significant industry experience through visiting researcher positions at premier institutions such as Carnegie Mellon University (CMU) and the General Motors (GM) Global R&D Center. This experience underscores his ability to bridge innovative research with practical application.

Work Experiences

UCLA Health - David Geffen School of Medicine (Los Angeles, CA, US): Postdoctoral Researcher, 2023 ~

  • Nominated as a Finalist for the Chancellor’s Award for Postdoctoral Research (2025).
  • Principal investigator of the Postdoctoral Fellowship for Overseas Research (Nurturing Next-generation Researcher) (2024–2025), supported by National Research Foundation of Korea (NRF).
  • Recipient of a Fellowship in Biomedical UniStar Training Program (2023–2024), visiting postdoctoral researcher.
  • Actively contributing to research on trustworthy AI and digital phenotyping as a member of the UCLA Medical & Imaging Informatics group, under the leadership of Prof. Alex Bui.
  • Authored and submitted multiple full grant proposals including the NIH K99/R00 Pathway to Independence Award (under review).

UNIST Industry Intelligentization Institute (Ulsan, Korea): Postdoctoral Researcher, Mar. 2023 ~ Aug. 2023

  • Collaborated on the development of advanced AI models for industrial systems with the UNIST Data Analytics Lab, under the supervision of Prof. Sungil Kim, focusing on real-world data applications and model deployment.
  • Held a dual affiliation with UNIST and UCLA from Sep. 2023 to Nov. 2024, conducting research at UCLA Health as a Visiting Postdoctoral Researcher supported by institutional funding and government grants.

UNIST Data Analytics Lab (Ulsan, Korea): Graduate Researcher & Laboratory Leader, 2018 ~ 2023

  • Advisor: Prof. Sungil Kim — Department of Industrial Engineering
  • Founding member and laboratory leader of the UNIST Data Analytics Lab, contributing to the establishment of research directions and coordination of industry collaborative projects.
  • Led applied research projects on time series modeling and anomaly detection across multiple domains.

Language Technologies Institute, Carnegie Mellon University (Pittsburgh, PA, US): Visiting Student & Researcher, Jan. 2020 ~ Jul. 2020

  • Recipient of a Scholarship in the Intensive Program In Artificial Intelligence Training Program, supported by Institute for Information & communication Technology Planning & evaluation (IITP), Republic of Korea.
  • Completed intensive, graduate-level coursework in Natural Language Processing and Applied Machine Learning.
  • Led a project team in the end-to-end design and development of a proof-of-concept conversational AI agent. [demo]
  • Project advisor: Daniel Plakosh & Jeffrey Gennari

General Motors Global Research and Development Center (Warren / Detroit, MI, US): Visiting Scientist, Feb. 2017 ~ Aug. 2017

  • Recipient of UNIST-GM internship fellowship, and FISITA Travel Bursary Scholarship.
  • Researcher at Manufacturing Systems Research Laboratory. Analyzed real-world experimental and simulation data to enhance the efficiency and quality of automotive manufacturing processes.
  • Conducted analytical analysis using a design of experiments. Based on that, developed a multi-platform welding simulation tool to optimize process parameters and predict quality outcomes, supporting Digital Twin initiatives. [demo]

Accenture Korea (Seoul, Korea): Research Assistant, Oct. 2016 ~ Jan. 2017

  • Lotte Duty Free Shop – New Generation System Integration Project
  • Supported project management operations (PMO) for a large-scale new generation system integration.

Institut für Theoretische Physik und Astrophysik (ITAP) (Kiel, Germany): Research Intern, Jul. 2014 ~ Sep. 2014

  • International Association for the Exchange of Students for Technical Experience (IAESTE).
  • Mentor: Prof. Sebastian Wolf / Astrophysics – Mechanism of Interstellar Dust Alignment for Star Formation.

Academic Background

Ph.D. in Industrial Engineering at UNIST, Mar. 2017 ~ Feb. 2023

  • Thesis: A Comprehensive Study of Deep Learning for Real-World Multivariate Time Series Classification
  • Advisor: Sungil Kim, Data Analytics Lab
  • Ph.D. studies in Technology and Innovation Management (2017), then re-enrolled in Industrial Engineering (2018)

M.S. in Technology and Innovation Management at UNIST, Mar. 2015 ~ Feb. 2017

  • Advisor: KwangWook Gang
  • Graduation capstone project: Discussion of the meaning and components of the fourth industrial revolution, and recommendations for Korea to prepare for the fourth industrial revolution

B.Sc. in Physics at UNIST, Mar. 2011 ~ Feb. 2015

  • Minors in Mechanical Engineering and Advanced Material Science
  • Valedictorian, Magna Cum Laude, President of Club Union (2013)

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 43,500 as of June 3rd, 2024)
    • Duration: September 1st, 2024 – August 31st, 2025
  • Researcher & Trainee: Biomedical UniStar Training Program
    • A selective program supporting collaborative research between UNIST and the UCLA David Geffen School of Medicine.
    • 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: Intensive Program In Artificial Intelligence (High-Potential Individuals Global Training Program)
    • A competitive, fully-funded program for an intensive training 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 for Academic Excellence (Ph.D. degree), UNIST, 2017–2022
  • FISITA Travel Bursary Scholarship, FISITA – International Federation of Automotive Engineering Societies, 2017
  • UNIST - GM Internship Fellowship, UNIST, General Motors Global R&D Center, 2017
  • UNIST Graduate Scholarship for Academic Excellence (Master degree), UNIST, 2015–2016
  • UNIST Undergraduate Scholarship for Academic Excellence, UNIST, 2011–2014

Research Awards and Honors

  • UCLA Chancellor’s Award for Postdoctoral Research (Finalist) University of California, Los Angeles (UCLA), 2025.
  • CHIL 2025 Best Paper Award Oh, Y., & Bui, A. (2025), Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis, Models & Methods Track, The sixth Conference on Health, Inference, and Learning (CHIL) 2025, June 2025.
  • 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 2025, May 2025. Recognized as a finalist for three consecutive years (2023, 2024, 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), Strategies for building a startup ecosystem for port smartization, Graduate Student Academic paper competition, 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 & 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, Medical Startup Festa, Center for Creative Economy and Innovation, 2018
  • 1st place (Minister Award), Korea R&D Festival – Korea Ministry of Trade, Industry and Energy (MOTIE) & Korea Institute for Advancement of Technology (KIAT), 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) (KR 10-2021-0120229, applied September 9, 2021) (JP2023039925A, published March, 20, 2023) (JP 2022-137508, applied August 31, 2022).
  • 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) (KR 10-2021-0119772, applied September 8, 2021) (JP2023039418A, published March, 20, 2023) (JP 2022-137509, applied August 31, 2022).
  • 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 Experience and Professional Development

  • (Spring, 2025) Implementing and Communicating a Teaching-as-Research, CIRTL, UCLA
  • (Winter, 2024) Preparing for Teaching-as-Research, CIRTL, UCLA
  • (Fall, 2024) Introduction to Evidence-Based Undergraduate Teaching, CIRTL, UCLA
  • (Summer, 2024) NIH K-award Grant Writing Bootcamp, CTSI & OPSCD, UCLA
  • (Summer, 2024) Teaching Institute, The Johns Hopkins University
  • (Spring-Fall, 2021) Undergraduate Interdisciplinary Research Project — Teaching Assistant, UNIST
    • Advise student-led project and presentation. 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, UNIST
  • (Fall, 2019) MGT206, Managerial Accounting — Teaching Assistant, UNIST
  • (Fall, 2018) MGT206, Managerial Accounting — Teaching Assistant, UNIST
  • (Spring, 2018) MGE362, Quality Management — Teaching Assistant, UNIST
  • (Fall, 2017) TIM614, Integration of IT, Manufacturing, and Operational Systems — Teaching Assistant, UNIST
  • (Spring, 2016) MGT473, Entrepreneurship and Venture Management — Teaching Assistant, UNIST
  • (Fall, 2015) AHS230, Recent Trends in Science and Technology Business of Korea — Teaching Assistant, UNIST
  • (Spring, 2015) MGT410, Psychology and Marketing — Teaching Assistant, UNIST

Academic Service

Reviewer / Program Committee

  • Journal: Information Fusion, Expert Systems with Applications, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Automation Science and Engineering (T-ASE), Computers and Industrial Engineering (CAIE), Computers in Biology and Medicine (CIBM), Engineering Applications of Artificial Intelligence (EAAI), Journal of Supercomputing, Behaviour Research and Therapy
  • Conference: International Conference on Learning Representations (ICLR), AAAI Conference on Artificial Intelligence (AAAI), Neural Information Processing Systems (NeurIPS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo

Organizer

  • Oh, Y., Lim, D., & Kim, S. (2025). Neural Differential Equations for Continuous-Time Analysis, The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), November 2025. Tutorial track.