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).
- 4-6-1, Komaba, Meguro-ku, Tokyo, 153-8505, Japan
- yuukin (at) iis.u-tokyo.ac.jp
- Latest CV
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)
Education
Graduate School of Media and Governance, Keio University (2017.9)
Global Environmental System Leader (GESL) (Doctor) program
Master of Media and Governance
Graduate School of Media and Governance, Keio University (2014.3)
Faculty of Environment and Information Studies, Keio University (2012.3)
Selected Publication
- H. Peng, Y. Nishiyama, K. Sezaki, "Assessing environmental benefits from shared micromobility systems using machine learning algorithms and Monte Carlo simulation" In: Sustainable Cities and Society, pp. 104207, 2022, ISSN: 2210-6707.
- Y. Nishiyama, H. Murakami, R. Suzuki, K. Oko, I. Sukeda, K. Sezaki, and Y. Kawahara, "MOCHA: Mobile Check-in Application for University Campuses Beyond COVID-19," In Proceedings of the 23rd International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, ACM, Seoul, Republic of Korea, 2022 (Presented in a joint workshop, MobiCOVID 2022)
- Y. Nishiyama, et al. "Physical Activity Analysis of College Students during the COVID-19 Pandemic Using Smartphones," Transactions of Information Processing Society of Japan, vol. 62, no. 10, page 1630-1643, 2021.
- Y. Nishiyama, K. Sezaki, "Experience Sampling Tool for Repetitive Skills Training in Sports Using Voice User Interface," In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 54–55, Association for Computing Machinery, Virtual, USA, 2021
- Y. Nishiyama, D. Ferreira, Y. Eigen, W. Sasaki, T. Okoshi, J. Nakazawa, A. K. Dey, and K. Sezaki, “iOS crowd-sensing won’t hurt a bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform,” In: Streitz N., Konomi S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2020. Lecture Notes in Computer Science, vol 12203. Springer, Cham
- Y. Nishiyama, T. Yonezawa, A. K Dey, J. Nakazawa , D. Ferreira, “Senbay: A Platform for Instantly Capturing, Integrating, and Restreaming of Synchronized Multiple Sensor-Data Stream”, ACM MobileHCI ’18 Demo, September 3–6, 2018, Barcelona, Spain (Honorable Mention Award)
- Y. Nishiyama, T. Okoshi, T. Yonezawa, J. Nakazawa, K. Takashio, and H. Tokuda, “Towards Health Exercise Behavior Change for Teams Using Lifelog Sharing Models.,” IEEE J. Biomed. Heal. informatics, vol. PP, no. 99, p. 1, Sep. 2015.
- Y. Nishiyama, T. Okoshi, T. Yonezawa, J. Nakazawa, K. Takashio, and H. Tokuda, "Towards Health Exercise Behavior Change for Teams Using Life-logging," In Proceedings of 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (IEEE Healthcom’14), pages 397-403, Natal Brazil, 15 October 2014. (Best Paper Award)
Awards
- Honorable Mention Award in Demo Session, 20th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2018), September 2018
- Best Young Researcher Award: IEICE Technical Committee on Ambient Intelligence and Sensor Networks, May 2015
- SFC Student Award in KEIO University, March 2015
- Best Paper Award in 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (IEEE HealthCom 2014), October 2014
Released Software/Service
iOS Application
Web Service
- Clip (2015~): Collaborative Video Clipping Service in a Team
- Aaron2 (2014): A Web Application for Promoting Team-level Behavior Change
- Aaron (2012): Self-practice Support System for Baseball Club