Michiko Tsubaki
"Advanced Analysis by Types Based on Service Science Using Big Data"
Position
- Vice-President Responsible for Public Relations,
- Professor of Graduate School of Informatics and Engineering of The University of Electro-Communications.
- Director of the Transdisciplinary Federation of Science and Technology
- Advisor of Service Science, solutions and Foundation Integrated Research Program of RISTEX/JST
Profile
Michiko Tsubaki achieved her BS in 1984 in Applied Mathematics and MS in 1986 and DS in 1990 in Management Science from Tokyo University of Science, Japan. She was a Visiting Scholar of Oxford University in 1992. She worked as a research assistant of Department of Communication and Systems from1989 to1999, as a lecturer from 1999 to 2001, as an associate professor of Department of Systems Engineering from 2001 to 2009, as an associate professor from 2009 to 2012, as a professor of Department of Informatics from 2012, as a vice-president responsible for Public Relations from 2014 of University of Electro-Communications. She has been a program committee member of the World Multi-Conference on Systemics, Cybernetics and Informatics since 2005 and the International Symposium on Academic Globalization since 2007. She was awarded by the Nikkei Quality Control Literature Prize from the book (Data Analysis by the Quality System Engineering Approach for Qualitative Improvement of Education –based on Analysis of Individual Differences-) in 2007.
She has been an advisory member of Service Science, Solutions and Foundation
Integrated Research Program of RISTEX/JST since 2015. She has been a director
of the Transdisciplinary Federation of Science and Technology, and the
vice chief editor of the Journal of Transdisciplinary Federation of Science
and Technology since 2016.
Research interests
Her recent research interests are advanced analyses of the effectiveness of Service by customer types, and the effectiveness of Education and Learning by student types using big data for improving the quality of business services and education environments. Her research is based on the application of her unique analytical system for measuring the effectiveness of a specific service based on individual customer types, and the strength of her analysis lies in its ability to match the heterogeneous needs of both customers and service providers. Further, she studies the classification of students into types based on the critical thinking skills, and the modelling for improvement of English abilities of elementary school students based on the analysis of log data of learning process.
