Faculty Information - Yamaguchi Shunpei |

（Last updated : 2025-10-04 16:31:10）

Yamaguchi Shunpei

Department / Course

Hiroshima City University Graduate School Graduate School of Information Sciences Major in Computer and Network Engineering

Hiroshima City University Faculty of Information Sciences Department of Computer and Network Engineering

Job Research Associate

E-Mail Address

Business career
2025/04/01 ～	Research Associate Hiroshima City University Graduate School Graduate School of Information Sciences Major in Computer and Network Engineering

Academic background
2025/03/25 Degree Acquisition	Information network Doctor of Philosophy in Information Science and Technology
2020/04/01～2022/03/31	Master Major of Information Networking Graduate School, Division of Information Science Osaka University Finished
2016/04/01～2020/03/31	Department of Electronic and Information Engineering Faculty of Engineering Osaka University Graduated
2013/04/01～2016/03/31	High School Attached to Osaka Kyoiku University (Tennoji Campus) Graduated

Research topic, funded research, and department laboratory expense
2022/04/01 ～ 2025/03/31	Research and Development of IoT System to Extract Interaction between Users Grant-in-Aid for JSPS Fellows

Book and thesis
Papers	OpenMMLA: an IoT-based Multimodal Data Collection Toolkit for Learning Analytics Proceedings of the 15th International Learning Analytics and Knowledge Conference,pp.872-879 (Co-authored) 2025/03/03
Papers	Experience: Practical Challenges for Indoor AR Applications Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom '24),pp.1030-1044 (Co-authored) 2024/12/04
Papers	An IoT-based Multimedia System for Fine-grained Multimodal Learning Analytics International Conference on Quantitative Ethnography (Doctoral Consortium),pp.1-5 (Sole-authored) 2023/10
Papers	Multimodality in Transactive Discourse: Integration of MmLA and SSNA International Conference on Quantitative Ethnography (Poster),pp.1-4 (Co-authored) 2023/10
Papers	An IoT System for Collaboration Analytics in Hybrid Learning Environments IEEE International Conference on Advanced Learning Technologies,pp.1-2 (Co-authored) 2023/07
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