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Athabasca University


Dr. Qun Jin

Professor, Networked Information Systems Laboratory,
Department of Human Informatics and Cognitive Sciences,
Faculty of Human Sciences, Waseda University
2-579-15 Mikajima, Tokorozawa-shi, Saitama 359-1192, Japan

Phone/Fax: +81-4-2947-6906



Qun Jin received B.S. Degree from Zhejiang University, China in 1982, M.S. Degree from Hangzhou Institute of Electronic Engineering and the Fifteenth Research Institute of Ministry of Electronic Industry, China in 1984, and Ph.D. from Nihon University, Japan in 1992.

From December 1984 to March 1989, he worked in the Department of Computer Science, Hangzhou Institute of Electronic Engineering, China. In April 1992, Dr. Jin joined the Systems Research Center, INES Corporation, Japan. From April 1995 to March 1999, he worked as an associate professor at the Department of Information Science and Intelligent Systems, Faculty of Engineering, Tokushima University, Japan. During the summer of 1997, he was a short-term scholar in the Department of Electrical and Computer Engineering, Boston University, USA. From April 1999 to March 2003, Dr. Jin was an associate professor at School of Computer Science and Engineering, the University of Aizu, Japan. Dr. Jin moved to Waseda University, Japan, in April 2003, where he holds a tenured full professor position at the Networked Information Systems Laboratory, Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences.

Dr. Jin has been engaged extensively in research works in the fields of computer science, information systems, and social and human informatics. He seeks to exploit the rich interdependence between theory and practice in his work with interdisciplinary and integrated approaches. He has published several academic books and more than one hundred refereed papers in journals and proceedings, including ACM and IEEE Transactions.

His recent research interests include human-centric computing, human-computer interaction, behavior and cognitive informatics, data integration and information fusion, life logs and big data mining, user modeling, social network analysis, information recommendation, sustainable information utilization and sharing, e-learning, e-health, and computing for well-being.

Updated June 25 2014 by FST Technical Staff

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