Scholar
Yugo Nakamura （中村 優吾）
Google Scholar ID: fUhgPscAAAAJ
Assistant Professor, Kyushu University (九州大学, 助教)
Citations & Impact
Citations
571
H-index
13
i10-index
19
Publications
20
Co-authors
22
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- IEEE ICCE 2025 Best Session Presentation Award; 37th Ando Incentive Prize for the Study of Electronics; 2023 Innovation Generation Award: Field Prize (domestic); IoT'23 Best Paper Candidate Award; IEEE MDM 2023 Best Demo Award; 2022 Funai Information Science Promotion Foundation, Funai Research Encouragement Award (domestic); ACM WellComp 2022 (ACM UbiComp/ISWC 2022 workshop) Best Paper Award; IPSJ DPSWS 2021 Best Paper Award (domestic); ACM UbiComp/ISWC 2021 Best Poster Honorable Mention Award; IEEE PerCom 2021 Best Demo Award; IPSJ Interaction 2021 Best Paper Award (domestic); Nara Institute of Science and Technology: Best Student Award (March 2017: Master's Program, March 2020: Doctoral Program) (domestic); IPSJ DICOMO 2019 Best Presentation Award (domestic); ACM Ubicomp/ISWC 2016 Best Demo Award.
Research Experience
- 2018-2019, Visiting Researcher, University of Mannheim; 2019-2021, ACT-I Researcher, Japan Science and Technology Agency; 2020-2021, Specially Appointed Assistant Professor, Nara Institute of Science and Technology; 2021-Present, Assistant Professor, Kyushu University.
Education
- 2008-2013, Department of Information Engineering, National Institute of Technology, Hakodate College; 2013-2015, Advanced Course of Production Systems Engineering, National Institute of Technology, Hakodate College; 2015-2017, Master’s Course of Information Science, Nara Institute of Science and Technology (Supervisor not mentioned); 2017-2020, Doctoral Course of Information Science, Nara Institute of Science and Technology (Japan Society for the Promotion of Science, Research Fellowships for Young Scientists, DC1).
Background
- Research interest: ubiquitous computing, focusing on behavioral sensing and intervention to redesign and improve habits and behaviors. Position: Assistant Professor at the Faculty of Information Science and Electrical Engineering, Kyushu University. Member of: Applied Human Information Systems Research Group.
