School of Information and Data Sciences, Nagasaki University

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Research Activities

Staff Introduction

  • Institute of Integrated Science and Technology, Associate Professor
  • School of Information and Data Sciences, Associate Professor
  • Graduate School of Engineering, Associate Professor
  • Doctor (Information Science)
Researcher number
Areas of Research
Nagasaki University: Apr.2016 –
Areas of Research
Data mining, Tourism Policy, Tourism Bigdata
Apr.1999 – Mar.2003
Tohoku University, Bachelor of Engineering
Apr.2003 – Mar.2005
Tohoku University, Graduate School of Information Sciences, Master of Information Sciences
Apr.2005 – Mar.2010
Tohoku University, Graduate School of Information Science, Doctor of Information Sciences
Apr.2010 – Mar.2016
Research Organization of Information and Systems, Transdisciplinary Research Integration Center, Project Researcher
Apr.2016 – current
Nagasaki University, Center for Information and Communication Technology, Associate Professor
Apr.2018 – current
Research Organization of Information and Systems, Joint Support-Center for Data Science Research, Visiting Associate Professor
School of Information and Data Sciences, Nagasaki University, Associate Professor

Research activities

 Estimating tourist trends based on tourism bigdata
Research Topics of Interest:
  • Prediction model for sales of accommodation plans / occupancy rate estimation based on Web reservation data.
  • Prediction of Tourisim and Visitors Distribution based on Wi-Fi access log.
  • Construction of a social infrastructure that facilitates the use of tourism big data
Since we don’t know if the data published on the Web is reliable, we will establish a method for assessing reliability and build a predictive model based on that data.(occupancy rate of accommodation facilities and plans sell-out) . In addition, using the Wi-Fi access log and user attribution, quantitatively evaluate what kind of user is attracted to what factor, and base data for conducting customer forecasting and economic effect evaluation create.
Infrastructure of Collecting and integrating data related to tourism and use it to attract visitors and predict the effects of tourism.

Educational activities

School of Information and Data Sciences:
First-year Seminar, Social and Tourism Informatics I, Research Project
Graduate School of Engineering:
Advanced lecture of BigData analysis
Liberal Arts Education:
Introduction to Data Science, Introduction to Statistics, Introduction to Information Science