Dr. Wookjae Heo, Associate Professor of Financial Counseling and Planning at Purdue University's Division of Consumer Science, has made significant contributions to the field of financial well-being through innovative research and interdisciplinary scholarship. His academic journey began with a Ph.D. from the University of Georgia, where his dissertation leveraged data mining to explore the demand for life insurance, setting the stage for his future work that combines advanced analytics with financial studies. At the core of Dr. Heo's research is a commitment to understanding and mitigating financial stress through the lens of psychological and behavioral economics. His pioneering integration of machine learning and data science into financial research has notably advanced the field's methodological landscape.
He has earned multiple research awards from financial services academic associations--including the Academy of Financial Services and the Financial Therapy Association--where he has also served as a board director. In addition, he served multiple peer-reviewed journals associated with financial services as an editorial board member including Financial Services Review, Journal of Financial Therapy, Journal of Financial Counseling and Planning, and Journal of Consumer Affairs. Eunchan Kim is an Assistant Professor in the Department of Information Systems at Hanyang University, South Korea. He earned his Ph.D. in Engineering at Seoul National University. Before joining Hanyang University, he accumulated practical and interdisciplinary experience as a Senior Researcher and Manager at Hanwha Group, a Lecturer at Seoul National University, a Researcher at Korea Credit Bureau, and a Visiting Scholar at Seoul National University Hospital and Jeonbuk National University Hospital. His research interests include information systems, AI applications, data analytics, and engineering management.
He also serves as the Director of the Data and Business Intelligence Lab. at Hanyang University, where his team conducts research on AI applications for solving heterogeneous business problems, algorithm development for different types of datasets, and policy-related studies on data usage and technology adoption. Dr. Junhyug Noh is an Assistant Professor in the Department of Artificial Intelligence at Ewha Womans University, Seoul, where he directs the Practical AI (PAI) Lab. His research spans computer vision, weakly and semisupervised learning, and crossdomain AI applications (AI+X), with projects ranging from medical diagnostics and materials discovery to surveillance and process automation. Prior to joining Ewha, he was a postdoctoral researcher in the Computational Engineering Division at Lawrence Livermore National Laboratory (USA). Dr. Noh received his Ph.
D. in Computer Science and Engineering from Seoul National University. He has published more than 25 peerreviewed papers in leading venues such as CVPR, ICCV, ECCV, and Scientific Reports, and has won toptrack awards in the Learning from Imperfect Data Challenge. An active member of the research community, he serves on program committees for CVPR, ECCV, ICCV, NeurIPS, and related journals, and is the recipient of the Naver Ph.D. Fellowship and an LLNL Division Recognition Award. At Ewha, Dr. Noh teaches machine learning, computer vision, and AI mathematics, mentoring students and practitioners on deploying robust, socially responsible AI systems.