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. My advisor was Prof. Shashi Shekhar (Spatial Computing Research Group, U of Minnesota). 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


Research

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 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.

 

     Publications / Research works

 

     Presentations / Talks

     Service to Profession

Recent News / Coming Events

       I am organizing, as the publicity co-chair, the International Conference on Database Systems for Advanced Applications (DASFAA 2016), April 2016.

DASFAA is an annual international database conference, which showscases state-of the art R & D activities in database systems and their applications. It provides a forum for technical presentations and discussion among database researchers, developers and users from academia, business and industry.

 

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Teaching

Research advising courses

 

     Previous teaching courses

Certification

     Resources


Others

        Cultural Heritage Administration of Korea

        VisitKorea