I received my Ph.D. degree in Computer Science from the University of Minnesota, Twin Cities in 2007. My advisor was Prof. Shashi Shekhar. I also got the M.S. in Computer Science from the University of Minnesota. In 2007, I joined Indiana University-Purdue University, Fort Wayne. I am currently an associated professor of computer science department. For the undergraduate study, I majored Computer Science & Engineering (B.S.) and Statistics (B.E.) at Korea University in (South) Korea. After that, I 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 nontraditional 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.
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 have worked as Air Force Summer Faculty Fellow and Air Force Summer Visiting Faculty at the Air Force Research Laboratory/Rome Research Site.
I have served as the organizer or program committee in numerous top-tier international conferences and often as the manuscript reviewer of international journals. I am currently organizing the International Symposium on Spatial and Temporal Databases (SSTD2015) as the publicity co-chair. I have also worked as the review panel of NSF (National Science Foundation) programs such as NSF-CISE and NSF-IIS.
I direct the Knowledge discovery, Data mining and Database Lab at school. Students, domain experts and industry people are welcome to work with me in all areas of data mining, database, machine learning and related applications.
Recent News / Coming Events
· My four graduate students participated the 2015 IPFW Student Research and Creative Endeavor Symposium. David Kimmey won 3rd place in the graduate category. Congraduation!!
· I work as a reviewer for GeoInformatica Journal.
· I work as a reviewer for the Knowledge and Information systems (KAIS) Journal.
· I have been selected for participation in the 2015 Leadership in Science Policy Workshop, Washington D.C., April 27-28, 2015
· I work as a program committee for the International Workshop on Mobile Spatial Information Systems, 2015
· I was invited to the review panel of NSF/IIS (Information and Intelligent Systems) program, 2015.
· A recent work with Air Force Research Lab has been selected for publication in the ASE International Conference on Big Data (BigData 2014).
· I was selected as a research presenter in the 2014 KOCSEA Technical Symposium on December 2014, and had an opportunity to visit IBM Watson Analytics Center.
· I work as a program committee for the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 20105), May 2015.
· I am organizing, as the publicity co-chair, the 2015 International Symposium on Spatial and Temporal Databases (SSTD 2015), August 2015.
“The 2015 SSTD is the fourteenth 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”.
Research advising courses