Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
Projects
- 17 Active
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データベースと高精度地盤調査の連携によるため池群のリスク評価
SHUKU, T. (CoPI), 西村 伸一西村 (CoPI), 柴田 俊文柴田 (CoPI), 亮治工藤 (CoPI), 満小松 (CoPI) & 珠玖 隆行珠玖 (CoPI)
1/04/24 → …
Project: Subsidies for on-campus educational facilities
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微小・低重力環境下における高効率保水・有機質土壌の生成と展開
SHUKU, T. (CoPI), 也寸志森 (CoPI), 守弘前田 (CoPI), 浩助登尾 (CoPI), 忠臣齊藤 (CoPI), 珠玖 隆行珠玖 (CoPI) & 広昭宗村 (CoPI)
30/06/23 → …
Project: Subsidies for on-campus educational facilities
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Development of three-dimensional data-driven site characterization methods and benchmark examples for the methods.
SHUKU, T. (CoPI) & 珠玖 隆行珠玖 (CoPI)
1/04/23 → …
Project: Subsidies for on-campus educational facilities
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集中群配置型クロスホールミューオン探査手法の開発
SHUKU, T. (CoPI), 西村 伸一西村 (CoPI), 柴田 俊文柴田 (CoPI) & 珠玖 隆行珠玖 (CoPI)
30/06/22 → …
Project: Subsidies for on-campus educational facilities
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ため池群の保全を目的とした高精度地盤調査法の開発と広域リスク評価
SHUKU, T. (CoPI), 西村 伸一西村 (CoPI), 柴田 俊文柴田 (CoPI), 満小松 (CoPI), 吉田 郁政吉田 (CoPI) & 珠玖 隆行珠玖 (CoPI)
1/04/20 → …
Project: Subsidies for on-campus educational facilities
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A novel data-driven 3D site characterisation method: Tucker decomposition-Bayesian compressive sensing and benchmarking study
Huang, M., Shuku, T., Shibata, T. & Nishimura, S. I., 2025, In: Georisk. 19, 2, p. 247-266 20 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Towards Scientific Machine Learning for Granular Material Simulations: Challenges and Opportunities
Fransen, M., Fürst, A., Tunuguntla, D., Wilke, D. N., Alkin, B., Barreto, D., Brandstetter, J., Cabrera, M. A., Fan, X., Guo, M., Kieskamp, B., Kumar, K., Morrissey, J., Nuttall, J., Ooi, J., Orozco, L., Papanicolopulos, S. A., Qu, T., Schott, D. & Shuku, T. & 4 others, , 2025, (Accepted/In press) In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Review article › peer-review
Open Access2 Scopus citations -
3D Data-driven Site Characterization using Geotechnical Lasso with Basis Functions
Phoon, K. K. & Shuku, T., 2024, Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. Beer, M., Zio, E., Phoon, K.-K. & Ayyub, B. M. (eds.). Research Publishing, p. 406-409 4 p. (Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Scopus citations -
A novel data-driven 3D site characterisation method: Tucker decomposition-Bayesian compressive sensing and benchmarking study
Translated title of the contribution :A novel data-driven 3D site characterisation method: Tucker decomposition-Bayesian compressive sensing and benchmarking study Research output: Contribution to journal › Article
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Bayesian Estimation for Subsurface Models using Spike-and-Slab Prior
Shuku, T. & Phoon, K. K., 2024, Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. Beer, M., Zio, E., Phoon, K.-K. & Ayyub, B. M. (eds.). Research Publishing, p. 410-409 2 p. (Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Prizes
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Bright Spark Lecture Award: Sparse modeling in Geotechnical Engineering
SHUKU, T. (Recipient), Dec 2019
Prize
Press/Media
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New Information Technology Findings from Okayama University Reported (Data-driven Subsurface Modelling Using a Markov Random Field Model)
7/04/23
1 item of Media coverage
Press/Media