Sung-Hyuk Cha was born and grew up in Seoul, Korea and received his Ph.D. in Computer Science from State University of New York at Buffalo in 2001 and B.S. and M.S. degrees in Computer Science from Rutgers, the State University of New Jersey in 1994 and 1996, respectively. During his undergraduate years, he became a member of Phi Beta Kappa and Golden Key National Honor Society. He graduated with High Honors and received High Honors in Computer Science. During his Master's years, he developed "Fast Image Template and Dictionary Matching Algorithms" under guidance of Prof. Martin Farach. From 1996 to 1998, he was working in the area of medical information systems such as PACS, teleradiology, and telemedicine at Information Technology R&D Center, Samsung SDS. During his PhD years, he was affiliated with the Center of Excellence for Document Analysis and Recognition (CEDAR). Major contribution made at CEDAR includes dichotomy model to establish the individuality of handwriting, distance measures on histograms and strings, a nearest neighbor search algorithm, apriori algorithm, etc. supervised by Prof. Sargur N. Srihari. He has been a faculty member of Computer Science department at Pace University since 2001. His main interests include computer vision, data mining, pattern matching & recognition. He is a member of AAAI, IEEE and its Computer Society and IS&T.