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 University Fort 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://web.ics.purdue.edu/~jyoo/


Education & Background

I received my Ph.D. degree in Computer Science from the University of Minnesota, Twin Cities in 2007. In 2007, I joined Indiana University-Purdue University, Fort Wayne. I am currently an associated professor of computer science department. I got the M.S. in Computer Science from the University of Minnesota. 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.


Awards and Honors


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.


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 have also worked as the review panel of NSF (National Science Foundation) programs such as NSF-CISE and NSF-IIS.


I am directing 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.


     Publications / Research works


     Presentations / Talks


     Service to Profession

Research Thesis Students

David Kimmey, Ye-sol Wool, Hima Vasudevan, Mark Bow

Recent News / Coming Events

       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.





I teach courses relevant to database systems, data mining, Big Data analytics and Big Data management. The following lists the courses I regularly teach.


Research advising courses



     Previous teaching courses