I received the Ph.D. in Computer Science at the University of Minnesota, Twin Cities, in 2007. I also got the M.S. in Computer Science from the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities.† I have two Bachelor degrees in Computer Science & Engineering, and also in Statistics from Korea University in (South) Korea.
My research area is data science, data-driven discovery and database. Iím working for data management and computational analytic methods (data mining, machine learning, and statistics) for nontraditional data such as spatial, temporal and spatio-temporal data (with geospatial references), and graph/network data and scientific data cross boundaries of computer and information science, statistics and other sciences. Location based computing, information and services are closely related to my research area.
Current research projects concern Big Data analytic methods (e.g., parallel and distributed data mining on MapReduce framework, e.g., Hadoop) and Big Data management techniques (e.g., NoSQL, distributed database systems and data warehousing) on cloud computing environment.
My research has been supported by U.S. Air Force Research Laboratory, Purdue Research Foundation, SUNY Research Foundation and so on. I have worked as Air Force Summer Faculty Fellow and Air Force Summer Visiting Faculty at Air Force Research Laboratory/Rome Research Site. .
I have served as the review panelist of NSF(National Science Foundation)/CISE (Computer & Information Science & Engineering) and NSF/IIS(Information and Intelligent Systems) programs as well as many top-tier international conferences and journals.
Iím directing the Knowledge discovery, Data mining and Database Lab at school. Students are welcome to work with me in all areas of data mining, database, machine learning and related applications.
††††† Research advising courses
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