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Jeongkyu Lee Assistant Professor, Ph.D. Department of Computer Science and Engineering University of Bridgeport Address: 221 University Avenue, Bridgeport, CT 06604 Office: Tech Building - Room 156 Phone: (203) 576-4397 FAX: (203) 576-4765 Email: jelee AT bridgeport.edu

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- Multimedia Information Group (MIG) in the Department of Computer Science and Engineering is looking for Graduate Assistantships (GA) starting from September 2009. Interested candidates please send your CV or resume to Prof. Jeongkyu Lee at jelee@bridgeport.edu ASAP [ PDF ]

- Ying-ju Chen (PhD student at MIG) won the first prize on Student Poster Competition in 2009 NE ASEE Conference, held in University of Bridgeport, April 3, 2009. In addition, MIG lab presented 4 student posters and 1 paper at the conference.

- Picture at ASEE conference (Jeongkyu, Manjula, Jalpa, Munther, Ying-ju, and James from Left)

- Dr. Jeongkyu Lee is organizing the 3rd Int'l Workshop on Multimedia Data Mining and Management (MDMM'09) in conjunction with DEXA 2009. MDMM'09 will be held on August30 ~ September 4, Linz, Austria. For call for paper, please visit workshop homepage at http://www.bridgeport.edu/~jelee/mdmm

- Multimedia Information Group (MIG) lab homepage is open at http://www.bridgeport.edu/~jelee/mig .

I am currently assistant professor in Department of Computer Science and Engineering at University of Bridgeport. I received my Ph.D. in Computer Science from the University of Texas at Arlington in 2006 under Dr. JungHwan Oh's supervising.  Previously, I received a BS from Sungkyunkwan University in Mathematic Education and an MS from Sogang University in Computer Science, both of South Korea. Before I pursued my doctorate, I worked as a database administrator for seven years with companies including Boram Bank, Hana Bank and IBM Korea.

My primary research interest is in the multimedia database management system based on graph theory including graph-based multimedia data modeling, graph-based indexing structure, query processing, and summary. My work also includes techniques for multimedia data mining, video processing,  multimedia ontology, and medical imaging.