Education & Background
I received my Ph.D. degree in Computer Science from the University of Minnesota, Twin Cities in 2007. I also got the M.S. in Computer Science from the University of Minnesota. In 2007, I joined to Indiana University-Purdue University, Fort Wayne. I am currently an Associated Professor of the Computer Science Department. For the undergraduate study, I majored Computer Science & Engineering, and Statistics at Korea University in (South) Korea. I also worked at Samsung SDS Co. as a software engineer for seven years.
My entire career in both academy and industry is about data and computing. My research area is data science (data mining, machine learning and statistics), database systems and spatial computing. My research focuses on the development of scalable algorithms for data mining, data management and data-driven knowledge discovery, with a particular emphasis on rich data such as spatial (geospatial), temporal and spatio-temporal data, and graph/network data and scientific data. Location-based computing, services and information are closely related to my fields. I am also interesting in identifying viable data mining opportunities, and designing, developing and fielding data mining solutions that have measurable impact to applications.
Current research projects concern Big Data analytic methods (e.g., parallel and distributed data mining algorithms on the MapReduce framework, Hadoop, and on Spark) and Big Data management techniques such as NoSQL, distributed database systems (e.g., HBase) and data warehousing (e.g., Hive) in the cloud computing environment. Resent works have been presented in the IEEE International Congress on Big Data, the ASE International Conference on Big Data, the IEEE International Conference on Big Data, International Conference on Advances on Big Data Analytics, and so on.
I’m also interested in Cyber learning and Big Data Science technology education.
My research has been supported by the U.S. Air Force Office of Scientific Research, the Air Force Research Laboratory, Purdue Research Foundation, Griffiss Institute/SUNY Research Foundation, Indiana University, and so on. I am an Air Force Faculty Fellow. I have worked as an Air Force Summer Visiting Faculty at the U.S. Air Force Research Laboratory/Rome Research Site. During the last sabbatical, I was as a visiting faculty in Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea.
I have served as the key organizer or program committee in numerous top-tier international conferences and often as the manuscript reviewer of international journals such as IEEE Transactions on Knowledge and Data Engineering (TKDE) and IEEE Transactions on Knowledge Discovery from Data (TKDD) . I have also worked as the review panel of NSF (National Science Foundation) programs such as NSF-CISE and NSF-IIS.
I am leading Data Mining and Big Data Analytics lab at school. Students, domain experts and industry people are welcome to work with me in all areas of data mining, big data analytics/management, database, machine learning, and related applications.
Recent News / Coming Events
· I’m a program committee for the IEEE International Conference on Big Knowledge (ICBK 2017), Hefei, China, August 9 – 10, 207
· I am organizing, as the publicity co-chair, the International Symposium on Spatial and Temporal Databases (SSTD 2017), Arlington, VA, August 21 – 23, 2017
SSTD is the fifth event of a series of biannual symposia that discuss new and exciting research in spatial, temporal and spatio-temporal data management and related technologies and start setting future research directions. The SSTD publications have high impact on spatial and temporal data research area in computer science and other relative area.
· I’m working as the senior program committee for the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Jeju, South Korea, May 23-26, 2017,
· I am organizing, as the publicity co-chair, the International Conference on Database Systems for Advanced Applications (DASFAA 2016), April 16-19, 2016.
· I work as a program committee for the ACM SIGKDD Conference on Knowledge and Data Mining (KDD 2016), August 13-17, 2016.
Research advising courses