Sung Hun KIM 金成勳

Sung is an Associate Professor at the Hong Kong University of Science and Technology. He was a post-doc at the Program Analysis Group at MIT. He received his PhD (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz. He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO. His research area is Software Engineering, focusing on software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults in program development or in deployed programs by mining software repositories, source code (static analysis), and program execution (dynamic analysis).