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Jinseok Kim, Ph.D., focuses his research and teaching on the effect of data quality on knowledge discovery in large scholarly datasets and enhancing data quality control in digital libraries using machine learning. He has made significant contributions to the development of innovative machine learning methods and procedures for author name disambiguation, addressing challenging data curation issues in digital libraries. Dr. Kim has published extensively on topics including machine learning, author name disambiguation, and the impact of data quality on research findings, as well as network measurements in leading computer and information science journals and conferences. Leveraging his research expertise, he has taught courses on machine learning, natural language processing, and network analysis.
Department of Electrical Engineering and Computer Science