CV
Please find my CV in PDF format here.
主な研究分野
統計的機械学習,信頼性工学
生年月日
1999年(平成11年)10月9日
経歴
2018年3月 栃木県立栃木高等高校 卒業
2022年3月 東北大学 工学部建築・社会環境工学科卒業(学士(工学))
2024年3月 東北大学大学院 工学研究科 土木工学専攻 博士課程前期修了(修士(工学))
2024年4月~ 東北大学大学院 工学研究科 土木工学専攻 博士課程後期在学中
出版物
- 斉藤大雅,大竹雄,Stephen WU,高野大樹,杉山友理,吉田郁政:ジェネリックデータベースと階層ベイズモデルを用いた海上空港基礎地盤物性値の推定,土木学会論文集, Vol. 80, No. 15, 23-15009, 2024.(応用力学論文奨励賞)(J-STAGE)
- Stephen Wu, Yu Otake, Daijiro Mizutani, Chang Liu, Kotaro Asano, Nana Sato, Taiga Saito, Hidetoshi Baba, Yusuke Fukunaga, Yosuke Higo, Akiyoshi Kamura, Shinnosuke Kodama, Masataka Metoki, Tomoka Nakamura, Yuto Nakazato, Akihiro Shioi, Masahiro Takenobu, Keigo Tsukioka, Ryo Yoshikawa: Future-proofing geotechnics workflows: accelerating problem-solving with large language models. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–18. https://doi.org/10.1080/17499518.2024.2381026 (Taylor & Francis Group)
- Taiga Saito, Yu Otake, Stephen Wu, Daiki Takano, Yuri Sugiyama, Ikumasa Yoshida: What defines a “site” in geotechnical engineering?: A comparative study between local and global big indirect databases, Computers and Geotechnics, Volume 177, Part A, 2025, 106826, (ScienceDirect)
- Taiga Saito, Yu Otake, Stephen Wu, Keisuke Yano: Exploring High-Order Multivariate Geotechnical Features Using the Minimum Information Dependence Model, 2024. (under review at Geodata and AI)
- Yu Otake, Taiga Saito: Reliability Analysis with Reduced Order Model, Chapter 7, Uncertainty, Modelling, and Decision Making in Geotechnics, Taylor & Francis, 2023. (Taylor & Francis Group)
- Yu Otake, Taiga Saito, Wu Stephen, Ikumasa Yoshida, Daiki Takano: Exploring Challenges via Analysis of Multivariate Geotechnical Properties: Insights from Large-Scale Local Sampling of Japanese Marine Clay, Chapter 11, Databases for Data-Centric Geotechnics, Taylor & Francis, 2024. (Accepted) (Taylor & Francis Group)
受賞歴
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