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

Ubiquitous Computing Systems Laboratory

2017–2020

• Doctoral Course of Information Science, Nara Institute of Science and Technology 

• JSPS Research Fellowships for Young Scientists, DC1

2018–2019

• University of Mannheim,  Visiting Researcher

2019–2021

• Japan Science and Technology Agency,  ACT-I  Researcher

2020–2021

• Specially Appointed Assistant Professor, Nara Institute of Science and Technology

2021– 2025

• Japan Science and Technology Agency,  Prest Researcher

2021–

• Assistant Professor, Kyushu University

• 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

• Hidayat, Muhammad Ayat, Yugo Nakamura, and Yutaka Arakawa: “Privacy-Preserving Federated Learning With Resource Adaptive Compression for Edge Devices, ” IEEE Internet of Things Journal (IoT-J), 2024.  [Q1 Journal]

• Yugo Nakamura, Rei Nakaoka, Yuki Matsuda, Keiichi Yasumoto: “eat2pic: An Eating-Painting Interactive System to Nudge Users into Making Healthier Diet Choices, ” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), pp. 1-23,  2023.  [Q1 Journal]

• Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, Keiichi Yasumoto: “Kaolid: a Lid-type Olfactory Interface to Present Retronasal Smell towards Beverage Flavor Augmentation,” The 13th International Conference on the Internet of Things (IoT ’23), 2023.  [Best Paper Candidate Award]

• Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa, “ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters,” IEEE International Conference on Pervasive Computing and Communications (PerCom 2022), pp. 172-179,  2022.  [CORE A*]

• Yugo Nakamura, Hirokazu Tanaka, and Yutaka Arakawa. 2023. “Color-wall: Adaptive Color Filter to Reduce Digital Distractions during PC Work,” In Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers (UbiComp/ISWC '22 Adjunct), 2022.

• Sopicha Stirapongsasuti, Kundjanasith Thonglek, Shinya Misaki, Yugo Nakamura, Keiichi Yasumoto: “INSHA: Intelligent Nudging System for Hand Hygiene Awareness,” The 21th ACM International Conference on Intelligent Virtual Agents (IVA ’21), pp.183–190, 2021.

• Yoshinori Umetsu, Yugo Nakamura, Yutaka Arakawa, Manato Fujimoto, and Hirohiko Suwa: “EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables,” IEEE International Conference on Pervasive Computing and Communications (PerCom2019), pp. 222-231, 2019. [CORE A*]

• Yugo Nakamura, Yuki Matsuda, Yutaka Arakawa, and Keiichi Yasumoto: “WaistonBelt X: A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change,” Sensors, vol. 19, no. 20, Article ID 4600, pp. 1-21, 2019. [Q1 Journal]

• Yugo Nakamura, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Hirozumi Yamaguchi, Keiichi Yasumoto: “In-Situ Resource Provisioning with Adaptive Scale-out for Regional IoT Services,” The Third ACM/IEEE Symposium on Edge Computing (SEC 2018), pp. 203-213,  2018. 

• Yugo Nakamura, Yutaka Arakawa, Takuya Kanehira, Masashi Fujiwara, and Keiichi Yasumoto: “SenStick: Comprehensive Sensing Platform with an Ultra Tiny All-In-One Sensor Board for IoT Research,” Journal of Sensors, vol. 2017, Article ID 6308302, 16 pages, 2017.

Ubiquitous Computing, Internet of Things, Persuasive Technology, Behavior Change Techniques, Human–Computer Interaction