School of Information and Data Sciences, Nagasaki University

  • 言語切替アイコン
  • inquiry iconInquiry
    •
  • access iconAccess
    •
  • sitemap iconSitemap
    •
Research Activities

Staff Introduction

Tetsuo IMAI
researchmapアイコン
Position・Degree
  • Institute of Integrated Science and Technology, Associate Professor
  • School of Information and Data Sciences, Associate Professor
  • Doctor of Engineering
Email
imainagasaki-u.ac.jp
Researcher number
10436173
Date of arrival
Apr. 2024
Areas of Research
Network science, Complex systems, Machine Learning, Internet of Things (IoT)
CV
Mar. 2000
Bachelor of Engineering in Computer Science, Hokkaido University
Mar. 2002
Master of Engineering in Systems and Information Engineering, Hokkaido University
Apr. 2002
NEC Corporation Networking Research Laboratories
Jan. 2004
NEC Corporation System Platforms Research Laboratories
Apr. 2006
Information Synergy Center, Tohoku University
Sep. 2012
Ph.D. in engineering, Yamagata University
Oct. 2012
Research Fellow, Yamagata University
Mar. 2013
Postdoctoral Researcher, RIKEN Advanced Institute for Computational Science (AICS)
Apr. 2015
Assistant Professor, Department of Informatics, Tokyo University of Information Sciences
Apr. 2017
Postdoctoral Researcher, Telenursing Research Center, Tokyo University of Information Sciences
Sep. 2018
Assistant Professor, Graduate School of Engineering, Nagasaki University
Apr. 2021
Lecturer, Graduate School of Information Sciences, Hiroshima City University
Apr. 2024
Associate Professor, School of Information and Data Sciences, Nagasaki University

Research activities

●
 Network Science and its Applications
Inducing to better social networks under the COVID-19 pandemic
  • Restrictions on human contact are effective in controlling the spread of infectious diseases, yet they also impose significant restrictions on socio-economic activities.
  • We are researching methods to obtain a social network structure that moderately balances infection control and socio-economic activities using a network formation model based on game theory.
●
 Resolving regional business issues through the IoT and AI
Anomaly detection in knitting machines
  • Continuous monitoring by cameras on factory production lines 
  • Automatic product anomaly detection based on machine learning 
  • Toward predictive detection of anomalies 

Educational activities

Class
Information and Data Sciences：
First-Year Seminar, Information Network I, Information Network II, Research Project
To Staff List›

トップへ