English

(He/Him)

D1 student @Takashi Furumura's Laboratory, Earthquake Research Institute, The University of Tokyo.

I am currently working on numerical simulation of seismic waves, tsunamis and crustal deformation. I'm also interested in Scientific Machine Learning.

Apr. 2025 - : Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo (Doctorate Program)

Apr. 2023 - Mar. 2025 : Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo (Master’s Program)

Apr. 2021 - Mar. 2023 : Department of Earth and Planetary Physics, Faculty of Science, The University of Tokyo

[2] Someya, M. & Furumura, T. Physics-Informed Neural Networks for Offshore Tsunami Data Assimilation. Geophysical Journal International, 242(3), ggaf243 (2025). https://doi.org/10.1093/gji/ggaf243

[1] Someya, M., Watada, S. & Furumura, T. 2D FDM Simulation of Seismic Waves and Tsunamis Based on Improved Coupling Equations Under Gravity. Pure and Applied Geophysics. 181, 1053-1073 (2024). https://doi.org/10.1007/s00024-024-03468-2

[1] Someya, M., Yamada, T. & Okazaki, T. OkadaTorch: A Differentiable Programming of Okada Model to Calculate Displacements and Strains from Fault Parameters. arXiv preprint (2025). https://doi.org/10.48550/arXiv.2507.17126 

[8] Someya, M., Sandanbata, O., Watada, S. & Furumura, T. "Far-Field Tsunami Propagation Generated by the 2025 Kamchatka Peninsula Earthquake (Mw 8.8)" (The 2025 SSJ Fall Meeting, 2025/10/21, Fukuoka, Poster)

[7] Someya, M. & Furumura, T. "Surrogate Modeling of Tsunami Simulation using Neural Operator" (The 2025 SSJ Fall Meeting, 2025/10/20, Fukuoka, Oral)

[6] 染矢真好、古村孝志「Neural Operatorによる津波シミュレーションの代理モデル」（日本応用数理学会2025年度年会、2025/9/2、東京理科大学神楽坂キャンパス、口頭発表）

[5] Okazaki, T., Agata, R., Kano, M., Sato, D, Someya, M. & Fukushima, R. "Neural Operators for Earthquake Cycle Simulation and Long-Period Ground Motion Forecast" (Japan Geoscience Union Meeting 2025, 2025/5/26, Makuhari, Poster)

[4] Someya, M. & Furumura, T. "Tsunami Data Assimilation using Physics-Informed Neural Network (PINN)" (The 2024 SSJ Fall Meeting, 2024/10/23, Niigata, Oral) [OSPA]

[3] Someya, M. & Furumura, T. "Data Assimilation of Tsunami using Physics-Informed Neural Network (PINN)" (Japan Geoscience Union Meeting 2024, 2024/5/31, Makuhari, Poster)

[2] Someya, M. & Furumura, T. "Forecasting Seismic Wave Propagation by Physics-Informed Neural Network (PINN): Numerical Experiments in a 2-D Acoustic Wavefield" (The 2023 SSJ Fall Meeting, 2023/11/1, Yokohama, Poster)

[1] Someya, M., Watada, S. & Furumura, T. "Simultaneous FDM calculation of seismic waves and tsunamis, distinguishing Eulerian and Lagrangian changes" (Japan Geoscience Union Meeting 2023, 2023/5/21, Makuhari, Oral)

[5] Someya, M., Sandanbata, O., Watada, S. and Furumura, T. "Far-Field Tsunami Propagation Generated by the 2025 Kamchatka Peninsula Earthquake (Mw 8.8)" (The 1050th DANWAKAI, 2025/9/12, ERI, Oral)

[4] Someya, M. & Furumura, T. "Surrogate Modeling of Tsunami Simulation using Neural Operators: Toward Rapid Tsunami Source Inversion" (Joint Workshop of the ERI-DPRI Tsunami Research Group 2025, 2025/8/27, ERI, Oral)

[3] Someya, M. & Furumura, T. "Physics-Informed Neural Networks (PINNs) for Tsunami Data Assimilation" (ERI-IPGP Workshop 2024, 2024/11/12, IPGP, Poster)

[2] Someya, M. & Furumura, T. "Physics-Informed Neural Network (PINN) for Tsunami Data Assimilation" (Joint Workshop of the ERI-DPRI Tsunami Research Group 2024, 2024/10/8, Uji Campus of Kyoto University, Oral)

[1] 染矢真好、古村孝志「Physics-Informed Neural Network (PINN)による地震波伝播の評価：2次元弾性波動場での数値実験」（2023年度 東京大学地震研究所共同利用研究集会「地震波形解剖学 3.0」 - 高密度観測・高周波数地震動で視る地殻・マントル不均質構造 -、2023/12/19、東大地震研、口頭発表）

[1] 2024年度 日本地震学会 学生優秀発表賞 (OSPA)

Jun. 2025 - : Earthquake Research Institute Research Assistant

Jun. 2025 - : JAMSTEC Research Assistant/Study Student

Apr. 2025 - : JSPS Research Fellowship (DC1)

Oct. 2023 - : International Graduate Program for Excellence in Earth-Space Science (IGPEES)

Mail（Please replace 🌀 to @） : someya🌀eri.u-tokyo.ac.jp

GitHub : https://github.com/msomeya1

ORCID : https://orcid.org/0009-0006-8632-4373