Jin Soung Yoo


Associate Professor, Ph.D.
Director of Applied Computer Science
Graduate program

Associate Director of Information Analytics and Visualization Center


Department of Computer Science

College of Engineering, Technology, and Computer Science
Indiana University - Purdue UniversityFort Wayne

2101 E. Coliseum Blvd, ET 125

Fort Wayne, IN 46805 USA

Office: ETCS building 125p,    (260)-481-6946
Email: yooj@ipfw.edujyoo@purdue.edu
Homepage: http://users.ipfw.edu/yooj



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 (B.S.) in Computer Science & Engineering, and also in Statistics from Korea University in (South) Korea.

Awards and Honors


My research area is data science, advanced analytics 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), andgraph/network data and scientific data. Location based computing, information and services are closely related. Current research projects concern Big Data analytic methods (e.g., parallel and distributed data mining methods on Hadoop framework) 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,and SUNY Research Foundation. I have worked as Air Force Summer Faculty Fellow and Air Force Summer Visiting Faculty.I have served as the review panelist ofNSF(National Science Foundation)/CISE (Computer & Information Science & Engineering) and NSF/IIS(Information and Intelligent Systems). 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.

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