Photo of Dr. Jin Soung Yoo

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



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 at the University of Minnesota.   In the undergraduate study, I majored Computer Science & Engineering (B.S.) and Statistics (B.S.) at Korea University in (South) Korea.


Awards and Honors


My research interest is data-driven discovery, database and data science (including data mining, machine learning and statistics). My research focuses on large scale data mining and data management, with a particular emphasis on nontraditional data such as spatial (with geospatial references), temporal and spatio-temporal data, and graph/network data and scientific data cross boundaries of computer and information science 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 the MapReduce framework, e.g., Hadoop, and on Spark) and Big Data management techniques (e.g., NoSQL, distributed database systems and data warehousing) in the cloud computing environment.


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 (Computer & Information Science & Engineering) and NSF/IIS (Information and Intelligent Systems). 


I’m directing the Knowledge discovery, Data mining and Database Lab at school. Students and other domain experts are welcome to work with me in all areas of data mining, database, machine learning and related applications.

     Publications / Research works

     Presentations / Talks

     Service to Profession  

     Recent News / Coming Events

·       Working as a reviewer for GeoInformatica Journal.

·       Working as a reviewer for the Knowledge and Information systems (KAIS) Journal.

·       Selected for the 2015 Leadership in Science Policy Workshop, Washington D.C., April 27-28, 2015

·       Working as a program committee for the International Workshop on Mobile Spatial Information Systems, 2015

·       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).

·       Selected as a research presenter in the 2014 KOCSEA Technical Symposium on December 2014, and have an opportunity to visit IBM Watson Analytics Center.

·       Working as a program committee for the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 20105), May 2015.

·       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


     Previous teaching courses




·        Cultural Heritage Administration of Korea   

·        VisitKorea