Organizing Team

Dr. Hae-Bum “Andrew” Yun is an Associate Professor of Civil, Environmental and Construction Engineering at the University of Central Florida. He earned his MS degree from Carnegie Mellon University and PhD degree from the University of Southern California. Dr. Yun’s research interest is in smart sending, structural health monitoring and non-destructive evaluation for civil infrastructure systems, using various techniques of advanced signal processing, machine learning, computer vision, and smart sensors. His research has been financially supported nationally and internationally, including NSF, USDOT, Florida DOT, Korean government and private companies. Dr. Yun served as the Chair of KSEA SEED East and West in 2015. He also chaired the 8th World Conference on Structural Control and Monitoring (8WCSCM) in 2022 and will chair the 13th International Conference on Bridge Maintenance, Safety and Management in 2026 (IBAMAS 2026). As a structural faculty, Dr. Yun is teaching core civil engineering structural courses, such as reinforced concrete, prestressed concrete and advanced structural mechanics.

Dr. Seungil Kim is a Research Assistant Professor at the University of Pittsburgh. As an expert in polymer/biomedical engineering, his current research focuses are: 1) Design, synthesis, characterization, modification, and processing of sustainable-, biocompatible-, and stimuli-responsive polymers; 2) Topical target delivery (drug, gene, and cell) using polymeric medical devices or nanocarriers; 3) Bioresorbable embolization biomaterials (coil, injectable gel, stem cell transplantation) for treatment of intracranial and renal artery aneurysms; and 4) Medical devices for cardiovascular diseases including artificial grafts, aortic valves, and cardiac patches. Dr. Kim's current research endeavors receive support from the Brain Aneurysm Foundation.

Dr. Juhun Lee is an Assistant Professor in the Departments of Radiology and Bioengineering at the University of Pittsburgh. He received his PhD in Electrical and Computer Engineering at The University of Texas at Austin in 2014. Dr. Lee did his postdoctoral training in the Department of Radiology at the University of Pittsburgh for quantitative analysis of breast cancer imaging under the supervision of Dr. Robert M. Nishikawa. His research focuses on quantitative analysis of breast images using artificial intelligence and machine learning approaches. His research on AI/ML research on breast cancer care is currently supported by multiple grants from the National Cancer Institute, NIH. He is also a recipient of a R37 The Method to Extend Research in Time (MERIT) award for his breast cancer risk estimation research.

Juhyun Lee, Ph.D., is currently an assistant professor of Bioengineering at UTA. Juhyun completed his B.S. in Biomedical Engineering at the University of Utah in 2010. He then attended USC and UCLA as a Master’s and Ph.D. Bioengineering student, respectively. After finishing his academic training, he worked as a biomedical engineer at Edward Lifesciences specializing in artificial heart valves and hemodynamic monitoring device. His research focuses on developing a novel microscopy system to study cardiac development by analyzing biomechanical effects. His research is supported from multiple American Heart Association and National Science Foundation

Dr. JuHyeong Ryu is an Assistant Professor in the Department of Industrial and Management Systems Engineering at West Virginia University. He holds a BS in Architectural Engineering from Dankook University (Republic of Korea), an MS in Construction Engineering and Management from the University of Michigan, and a PhD in Civil and Environmental Engineering from the University of Waterloo (Canada). JuHyeong leads the Human-Centered Intelligent Systems (HCIS) lab. The mission of HCIS is to maximize real-life human performance by minimizing the level of human efforts by leveraging emerging sensing technologies and advanced analytical methods including wearables, AI, IoT, robotics, and mixed reality. He received numerous awards for his work, including the 2023 National Science Foundation Seed Grant; being selected as the 2022 Mitacs Accelerate Fellowship; and the 2020 Best Paper Award at the International Workshop on Intelligent Computing in Engineering (Berlin, Germany).