Contributors
YongKyung Oh
Dr. YongKyung Oh is a Postdoctoral Researcher at the University of California, Los Angeles (UCLA) Health - David Geffen School of Medicine, contributing to the Medical & Imaging Informatics (MII) group led by Dr. Alex Bui. Prior to his current appointment, he was a postdoctoral researcher at the Industry Intelligentization Institute at the Ulsan National Institute of Science and Technology (UNIST). His academic training from UNIST is notably interdisciplinary, comprising a Ph.D. in Industrial Engineering, an M.S. in Technology and Innovation Management, and a B.Sc. in Physics.
Dong-Young Lim
Prof. Dong-Young Lim is an assistant professor in the Department of Industrial Engineering and the Artificial Intelligence Graduate School at UNIST. He received his B.S., M.S., and Ph.D. degrees in Industrial and Systems Engineering from KAIST, where his doctoral research focused on financial engineering and mathematical finance. He later joined the School of Mathematics at the University of Edinburgh as a Marie Sklodowska-Curie Fellow, conducting research on optimization theory for AI. From June to August 2024, he was a visiting researcher in the Optimization Theory Group at the Alan Turing Institute in the UK. His research interests include stochastic analysis, stochastic differential equations (SDEs), and stochastic and multi-objective optimization, with applications in AI and operations research/management science.
Sungil Kim
Prof. Sungil Kim is an Associate Professor in the Department of Industrial Engineering at the Ulsan National Institute of Science and Technology (UNIST). Prof. Kim has dedicated himself to tackling modern challenges in quality engineering within the ongoing era of AI transformation. These challenges include issues such as sensor drift, inefficient data representation, and class imbalances. His works have made significant contributions by effectively addressing these challenges through the utilization of sensor data and real-time log data, ultimately offering practical solutions to real-world problems. Prof. Kim earned his Ph.D. degree in Industrial Engineering at the Georgia Institute of Technology in 2011. He has served as an Area Editor of Computers & Industrial Engineering in the area of Statistics, Quality, Reliability & Maintenance.
Alex A. T. Bui
Dr. Bui received his PhD in Computer Science in 2000, upon which he joined the UCLA faculty. He is now the Director of the Medical & Imaging Informatics (MII) group. His research includes informatics and data science for biomedical research and healthcare in areas related to distributed information architectures and mHealth; methodological development, application, and evaluation of artificial intelligence (AI) methods, including machine/reinforcement learning; and data visualization. His work bridges contemporary computational approaches with the opportunities arising from the breadth of biomedical observations and the electronic health record (EHR), tackling the associated translational challenges.