Research Profile

Yuuki Nishiyama, Ph.D.

Assistant Professor, Center for Spatial Information Science, The University of Tokyo

Yuuki Nishiyama is an Assistant Professor at the Center for Spatial Information Science in the University of Tokyo. He obtained M.S.(2014) in Media and Governance from Keio University, and Ph.D. in Media and Governance (2017) from Keio University, respectively. He had worked at Keio University in Japan and the University of Oulu in Finland, as a post-doctoral researcher respectively. He started work at the Institute of Industrial Science in the University of Tokyo as a Research Associate in 2019, and has held his current position since 2022. His current research interests include ubiquitous computing systems, mobile-wearable sensing platforms, and human ability augmentation. He is a member of ACM, IEEE, and Information Processing Society of Japan (IPSJ). 

Background

  • Assistant Professor : Center for Spatial Information Science, The University of Tokyo (Apr. 2022 – current)
  • Research Associate : Institute of Industrial Science, The University of Tokyo (Jul. 2019 – Mar. 2022)
  • Postdoctoral Researcher: Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland (Mar. 2018 – Jun. 2019) 
  • Postdoctoral Researcher: Graduate School of Media and Governance, Keio University, Japan (Aug. 2017 – Mar. 2018)
  • Research Assistant: Global Environmental System Leader (GESL) program, Graduate School of Media and Governance, Keio University, Japan (Apr. 2014 – Mar. 2017)

News

Research Topics

  • Context-aware technologies and systems: 
    • Technology for recognizing and predicting the behavior of micro-mobility riders to improve the safety of micro-mobility
    • Detection technology of infant/toddler behavior and parenting behavior related behaviors to support child-rearing
    • Methods of detecting infection prevention behavior (i.e., hand-washing, mask-usage, and conversation events) using consumer devices
  • Passive mobile and wearable sensing and its platforms:
    • Postpartum depression detection using passive sensing technology
    • Development of information platform for improving the performance and condition of athletes using mobile/wearable devices: Athlete Life, MiQ, and Ripken.
    • Open-source passive mobile/wearable sensing platform (mainly iOS, watchOS, and Android): AWARE, Senbay, and MOCHA
  • Human behavior change and intervention methods:
    • Platform for promoting team-level behavior change using competitive and cooperative lifelog sharing
    • Investigation of the impact of the way incentives are offered on infectious disease prevention behavior

Selected Publication

Selected Awards