http://web.kaist.ac.kr/~kyomin/Pictures/USA.jpg

·  Applied Algorithm Lab.

 

·  Kyomin Jung is an assistant professor in the department of Computer Science at KAIST. He has joint appointments in the department of Electrical Engineering and in the department of Mathematics, KAIST.

 

·  He received Ph.D. in MIT Mathematics department in June 2009, and he was a member of LIDS(Laboratories for Information and Decision Systems), where he worked with Devavrat Shah.

·  In Summer 2009, he was a visiting professor in Microsoft Research Machine Learning and Perception Group, Cambridge, UK.

·  In Summer 2008, he worked as a research internship in Microsoft Research Machine Learning and Perception Group, Cambridge, UK.

·  In Summer 2007, he worked as a research internship in IBM T.J. Watson Research Center System Analysis and Optimization Group, Yorktown, NY, USA.

·  In Summer 2006, he worked as a research internship in Bell Labs Department of Mathematics of networks and systems, Murray Hill, NJ, USA.

·  In Summer 2005, he worked as a research internship in Samsung Advanced Institute of Technology Communication and Network Lab, Giheung, Korea.

·  In Winter 2003-2004, he was a visiting researcher in Microsoft Research Theory group, Redmond, WA, USA.

·  His graduate study was supported by Samsung Lee Kun Hee Scholarship Foundation. (Fall 2004 ~ Spring 2008)

·  He completed B.Sc. in the Department of Mathematics, Seoul National University, Korea.

·  He was a Gold Medalist in IMO(International Mathematical Olympiad) 1995 held in Toronto, Canada.

·  His Research Interest includes 1) Graphical models and Image processing, 2) Complex network modeling and analysis, and 3) Financial data mining.

·  To students : Please feel free to contact me if you are interested in working with me on exciting ongoing or upcoming research projects.

·  Current graduate stduents: Yongsub Lim, Boyoung Kim, Nam-ju Kwak.

CV             Pictures            Contact


·  Courses

·  Spring 2010: CS500. Algorithms: Design and Analysis.

·  Fall 2009: CS774. Markov Random Field: Theory and Application.

·  Publications


·  Contact

Last updated: Feb 08 2010


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