Sung-Hyuk Cha was born and raised in Seoul, Korea. He earned his PhD in Computer Science from the State University of New York at Buffalo in 2001, and his BS and MS degrees in Computer Science from Rutgers, The State University of New Jersey in 1994 and 1996, respectively. From 1996 to 1998, he worked at the Information Technology R&D Center of Samsung SDS, where he developed PACS and teleradiology systems for Samsung Medical Center and a telemedicine system for Seoul National University Hospital. While pursuing his PhD, Dr. Cha was affiliated with the Center of Excellence for Document Analysis and Recognition (CEDAR) at SUNY Buffalo. His major contributions at CEDAR included the development of the dichotomy model for establishing the individuality of handwriting, distance measures for histograms and strings, a nearest-neighbor search algorithm, and work related to the Apriori algorithm, under the supervision of Professor Sargur N. Srihari. Dr. Cha has been a faculty member in the Department of Computer Science at Pace University since 2001. His primary research interests span data science, pattern recognition, and machine learning, with a strong emphasis on both theoretical foundations and practical impact. He is an associate editor for Pattern Analysis and Applications. He is also co-editor of Seidenberg annual research day and technical reports.