Incheon Paik                Incheon Paik




                                                        Professor, Division of Information Systems, School of Computer Science and Engineering of The University of Aizu 
                                                        Dean, The Graduate School of the University of Aizu
                                                       
                                                        Address:  The University of Aizu, Tsuruga, Ikki-machi Aizu-Wakamatsu City, Fukushima, 965-8580, Japan
                                                        E-mail:  paikic@u-aizu.ac.jp
                                                        Telephone: 81-242-37-2796
                                                        FAX: 81-242-37-2745

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Biography

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 School of Computer Science and Engineering of the univeristy. 
Dr. Paik's research interests include Deep Learning Applications in Semantic Web Services, Natural Language Processing, 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 senior member of IEEE, and regular member of IEICE, IEIE, and IPSJ. Also, he was a director of IEIE Japan Branch, an executive committee member of IEEE Sendai section, and served as a chair of IEICE Service Computing Technical Committee.

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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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