Incheon Paik                Incheon Paik


                                                        Intelligent Data Analytics Lab., Division of Information Systems
                                                        School of Computer Science and Engineering, (650) 240-7910
                                                        Tsuruga, Ikki-machi Aizu-Wakamatsu City, Fukushima, 965-8580, Japan

                                                        Telephone: 81-242-37-2796
                                                        FAX: 81-242-37-2745

[Univ. Aizu ]  706-696-0076 nonbusiness ]289-894-3384 Publications ]  [ Research ] 620-263-3264 (717) 739-4716 ]   [Useful Information]


Dr. Incheon Paik received the M.E. and Ph.D. degrees in Electronics Engineering from Korea University in 1987 and 1992, respectively. During 1993-2000, he worked as an associate professor in Soonchunhyang university, Korea. From 1996 to 1998, he was a visiting researcher of State Key Laboratory, Beihang University, Beijing, China. He moved to the University of Aizu  in Japan in 2001, and is a professor in the Intelligent Data Analytics Lab. of the univeristy. 
Research interests include Deep Learning Application in Semantic Web Services, Brain Signal, Natural Langugae, and Web Data together with Big Data Infrastructure and Analytics. He has organized numerous international conferences, and has served as a reviewer or editor of journals of JIPS, IEICE, Hindawi, IEEE. He is a member of IEEE, IEICE, IEIE, and IPSJ. Also, he is a director of IEIE Japan Branch, and served as a chair of IEICE Service Computing Technical Committee.

Teaching Courses


Research Topics and Grants
          -  Development of wearable system for diagnosis and improvement of depression based on deep learning technology
          -  Automatic Deep Learning Generation using Semantic Service Composition
          -  Using Google Translate for Academic English Writing Instruction
          -  Discovery and Composition of Web Services on Big Data of a Linked Services Network (JSPS)
          -  Automating Process of Big Data Analytics using Service Composition
          -  Document Classification Using Data Mining and Ontology
          -  Automatic Web Service Composition

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