(He/Him)
2nd-year PhD 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 [Student Author Award]
[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
[2] Someya, M., Furumura, T., Agata, R., Fourier Neural Operator-Based Surrogate Modeling of Offshore Tsunami Propagation and Its Application to Rapid Tsunami Source Inversion, Research Square (2026). https://doi.org/10.21203/rs.3.rs-9597846/v1
[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
[9] Someya, M., Furumura, T., Surrogate Modeling of Tsunami Simulation using Neural Operator: Application to Rapid Source Inversion, EGU General Assembly 2026, 2026/5/5, Austria Center Vienna, Poster. https://doi.org/10.5194/egusphere-egu26-8891
[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 International Congress Center, Poster.
[7] Someya, M., Furumura, T., Surrogate Modeling of Tsunami Simulation using Neural Operator, The 2025 SSJ Fall Meeting, 2025/10/20, Fukuoka International Congress Center, 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 Messe, Poster.
[4] Someya, M., Furumura, T., Tsunami Data Assimilation using Physics-Informed Neural Network (PINN), The 2024 SSJ Fall Meeting, 2024/10/23, Toki Messe: Niigata Convention Center, 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 Messe, 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, PACIFICO 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 Messe, Oral.
[9] 染矢真好, 古村孝志, 縣亮一郎, Neural Operator を用いた津波波源インバージョンと不確実性定量化, 第1回つくば津波研究集会, 2026/3/16, つくば市文部科学省研究交流センター, 口頭発表.
[8] 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：津波データ同化と逆解析への応用, 2025年度東京大学地震研究所特定共同研究(B)「科学的機械学習(SciML)による固体地球科学の加速」共同利用研究集会「固体地球科学におけるScientific machine learningとその周辺」, 2026/1/22, 京大防災研, 口頭発表.
[7] 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とデータ同化への応用, 2025年度東京大学地震研究所共同利用研究集会「超高密度多点地震観測と波動研究による日本列島解像論」, 2025/12/22, 東大地震研, 口頭発表.
[6] Someya, M., Sandanbata, O., Watada, S., Furumura, T., Slip Models of the 2025 and 1952 Kamchatka Earthquakes Estimated by Tsunami Waveform Inversion, Asia Tsunami Workshop 2025, 2025/11/20, Takeda Hall of the University of Tokyo, Poster. [Best Student Presentation Award]
[5] Someya, M., Sandanbata, O., Watada, S., 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, DPRI, 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.
[3] Asia Tsunami Workshop 2025, Best Student Presentation Award
[2] 2025 GJI Student Author Award
[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
Google Scholar: https://scholar.google.co.jp/citations?hl=en&user=CqRSeBMAAAAJ
GitHub : https://github.com/msomeya1
ORCID : https://orcid.org/0009-0006-8632-4373