|Work Address||Lyceum Room 309, Korea University, Anam-Dong, SeongBuk-Gu, Seoul, Korea|
|Present Position||Professor, Department of Computer Science and Engineering, College of Informatics,Korea University, Korea|
|Research Interests||Natural Language Processing
Cognitive-Neuro Language Processing in Human Brain
Computer Science Education
|Curriculum Vitae||Download Link|
|1988.03 ~ 1992.02||B.A. in Computer Science, Korea University|
|1992.03 ~ 1994.02||M.A. in Computer Science, Korea University|
|1994.03 ~ 1997.08||Ph.D. in Computer Science, Korea University|
|2011 ~ 2012||Visiting Scholar, Dept. of CS, University of Colorad at Boulder|
|2008 ~ Present||Professor, Dept. of Computer Science Education, Korea University|
|2004 ~ 2008||Associate Professor, Dept. of Computer Information Software, Hanshin University|
|1999 ~ 2004||Assistant Professor, Dept. of Information Communication, Baekseok University|
|2010.03 ~ 2012.06||The 50th Annual Meeting of the ACL (ACL2012), Local Arrangements Committee|
|2011.03 ~ 2011.12||International Conference on Internet (www.iconi.org), Program Chair|
|2010.08 ~ 2011.06||The 6th Europe Asia Pacific International Conference on Information Science and Technology, (EAPIC-IST2011), Program Chair|
|2010.08 ~ 2010.10||Conference of Korean Association of Computer Education, Program Chair|
|2010.03 ~ 2010.12||International Conference on Internet (www.iconi.org), Workshop Chair|
|2009.03 ~ 2009.12||International Conference on Internet (www.iconi.org), Publication Chair|
|2009.12 ~ 2009.12||The Korea Academia-industrial cooperation Society, Direct Assistance Chair|
|2009.10 ~ 2009.12||Korean Society for Internet Information Conference, General Chair|
|2009.12 ~ Present||Korea Copyright Commission, Advisory Member|
|2009.03 ~ 2010.02||Korean Society for Internet information, Editorial Board|
Teaching(in Recent 5 years)
|Educational Data Mining, 2014
Review the current techniques for educational data mining. Understanding fundamental principles of educational data mining and its applications.
|Machine Learning, 2014-2016
This class covers recent new machine learning techniques and its application in data science, education, and classification task area.
|Information Retrieval, 2013-2015
This class covers basic theories of information retrieval and techniques to implement a practical information retrieval engine. The topics are information retrieval models, text processing techniques, indexing techniques, information theories, and applications of IR, which are vital to data mining and big data analysis.
|Programing Languages, 2012-2014
Discussion of the important issues in the specification, design and implementation of programming languages with emphasis on imperative programming. The objective of the course is not to master a set of programming languages but rather the emphasis is on evaluating alternative ways of providing various programming language features, and studying the trade-off involved.
|Natural Language Processing, 2013
This class covers the advanced topics in natural language processing including statistic language processing, language modeling, and machine translation.
|Affective Computing Seminar, 2012
This class covers introduction to affective computing including emotion recognition, expression, having emotions, and emotional intelligence.
|Multimedia Information Processing, 2011
Many current information technologies will be covered such as web2.0, search engines, Brain computer interface, computational models of brain function.