Principal Investigator
YongKyung Oh
Assistant Professor
Data Science Major, School of BioMedical Convergence Engineering, Pusan National University
Bio
YongKyung Oh directs the Scientific Inference Lab, which develops machine learning methods for modeling, inference, and decision-making in scientific and engineering systems. Before joining Pusan National University, he was a postdoctoral researcher in the Medical and Imaging Informatics group at the David Geffen School of Medicine, University of California, Los Angeles (UCLA), where he developed machine learning methods for healthcare. He also conducted postdoctoral research at the Ulsan National Institute of Science and Technology (UNIST).
Previous experience
2023-2026
Postdoctoral Researcher
Medical and Imaging Informatics, David Geffen School of Medicine, University of California, Los Angeles
2023-2024
Postdoctoral Researcher
Industry Intelligentization Institute, Ulsan National Institute of Science and Technology
2020
Intensive AI Program (High-Potential Individuals Global Training Program)
Carnegie Mellon University
2017
Visiting Scientist
General Motors Global Research and Development Center
Education
2017-2023
Doctor of Philosophy in Industrial Engineering
Ulsan National Institute of Science and Technology
2015-2017
Master in Technology and Innovation Management
Ulsan National Institute of Science and Technology
2011-2015
Bachelor of Science in Physics
Ulsan National Institute of Science and Technology
Recognition
Honors
- CIRTL Scholar · Center for the Integration of Research, Teaching and Learning (CIRTL), UCLA
- Chancellor's Award for Postdoctoral Research Nominee · UCLA
Paper recognition
Grants and fellowships
NVIDIA Academic Grant Program
NVIDIA
Role: Lead Scientist on the project team
Project: Neural SDE-Augmented GPU-Accelerated Pharmacokinetic Simulation Framework
Principal Investigator: Alex A. T. Bui, UCLA
Postdoctoral Fellowship for Overseas Research (Nurturing Next-generation Researchers)
National Research Foundation of Korea (NRF)
Role: Principal Investigator
Research title: Approach to Detect Distribution Shifts Over Time and Evaluate Model Trustworthy with Retraining in Longitudinal Medical Data
Postdoctoral fellowship held at UCLA before joining Pusan National University
Biomedical UniStar Training Program
Korea Health Industry Development Institute (KHIDI)
Role: Researcher & Trainee
Selective program supporting collaborative research between UNIST and the UCLA David Geffen School of Medicine.
Intensive Program in Artificial Intelligence (High-Potential Individuals Global Training Program)
Institute for Information & Communication Technology Planning & Evaluation (IITP)
Role: Researcher & Trainee
Competitive, fully funded program for intensive training at Carnegie Mellon University (CMU).
Research awards
Energy Analytics Challenge Finalist
Transform-First Forecasting for County-Level Power Outages
Energy Systems Division (ESD), Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo
Best Paper Award
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)
Best Paper Competition Finalist
Multi-scale Transformer for Long-term Time Series Forecasting
Data Analytics and Information Systems (DAIS) Division, IISE Annual Conference & Expo
Recognized as a finalist for three consecutive years: 2023, 2024, and 2025.
Best Paper Competition Finalist
Integrating Neural Controlled Differential Equations and Neural Flow for Comprehensive Irregularly-sampled Time Series Analysis
Data Analytics and Information Systems (DAIS) Division, IISE Annual Conference & Expo
Best Paper Award
Flow-based Neural Differential Equations for Time Series Analysis
Korea Computer Congress (KCC), Korean Institute of Information Scientists and Engineers (KIISE)
Best Oral Presentation Award
Heterogeneous Model Fusion for Enhanced Sensor-Based Human Activity Recognition
AI Division, Korea Computer Congress (KCC), KIISE
Best Paper Competition Finalist
Neural Stochastic Differential Equations Based on the Ornstein-Uhlenbeck Process
Data Analytics and Information Systems (DAIS) Division, IISE Annual Conference & Expo
Best Paper Award
Logistics Anomaly Detection with Maritime Big Data: A Bootstrap Approach
Logistics & Supply Chain (LSC) Division, IISE Annual Conference & Expo
Encouragement Award
Strategies for Building a Startup Ecosystem for Port Smartization
Graduate Student Academic Paper Competition, Ulsan Development Institute
Excellence Award
Suggestion for Smart Port in Industry 4.0
International Conference on Maritime, Academic Paper Competition, Dongseo University & Ministry of Maritime Affairs and Fisheries
Patents
Encoding apparatus and method for converting time series data into images
KR 10-2754134, granted January 8, 2025
US 12,725,326, granted September 1, 2026
Apparatus and method for human activity recognition through hybrid fusion of dynamic and static data
KR 10-2024-0033382, applied March 8, 2024
Method, computer device, and computer program to predict road congestion propagation using pattern matching
KR 10-2608343, granted November 27, 2023
JP 7453296, granted March 11, 2024
Joint applicants: Naver Corp. and UNIST.
Method, computer device, and computer program to predict propagation delay time of road congestion using transfer entropy
KR 10-2604575, granted November 16, 2023
JP 7453297, granted March 11, 2024
Joint applicants: Naver Corp. and UNIST.
Method of anomaly detection of vessels applying Bayesian bootstrap
KR 10-2534357, granted May 16, 2023
Method and device for compensating for sensor drift
KR 10-2364019, granted February 14, 2022
Method and apparatus for determining delay possibility of shipment
KR 10-2250354, granted May 4, 2021