My research topic is human-AI collaboration as a subject of quality control in crowdsourcing.
I am also very interested in recommender systems and AI security.
Data Engineering
Machine Learning, Deep Learning, Recommender Systems, Natural Language Processing (NLP), Crowdsourcing, Human computation, ...etc.
2020-2022: Department of Information and Computer Engineering, National Institute of Technology (KOSEN), Kisarazu
College. (Associate Degree of Engineering)
2022-2024: College of Media Arts, Science and Technology, School of Informatics, University of Tsukuba. (BSc. in Media Sciences and Engineering)
2024-: Master's Programs in Informatics, Graduate School of Comprehensive Human Sciences, University of Tsukuba.
Extracurricular Activities
2021.2-3: Internship at Yuizono Lab of Japan Advanced
Institute of Science and Technology (JAIST)
2022.8: Completion of Seccamp2022 AI
Security cource
Tomoya Nishio, Hiroyoshi Ito, Takumi Tamura, Atsuyuki Morishima, Rationale-aware Label Aggregation in Crowdsourcing, In proceedings of the ACM Collective Intelligence Conference 2025 (CI'2025), 4-6 August, 2025, La Jolla, California, USA (accepted).
Takumi Tamura, Yoichiro Ito, Masaki Aota, Kenta Yamada, Shotaro Ishihara, Should Embedding-Based News Recommendation Be Revisited? A Focus on the Differences Between News Publishers and Aggregators, Industry Track, In proceedings of the 30th International Conference on Natural Language & Information Systems (NLDB2025), 11 pages, July 4-6, 2025, Kanazawa, Japan (accepted).