Basic Information

Email Address

• Email Address

  okazaki.tomohisa.5ukyoto-u.ac.jp

Academic Degree

• 23 Mar. 2015

  京都大学修士（理学）
• 26 Mar. 2018

  京都大学博士（理学）

Academic Resume (Undergraduate School/Majors)

• 京都大学, 理学部理学科, 卒業

Research History

• From May 2026, To Present

  RIKEN, Center for Advanced Intelligence Project, Visiting Researcher
• From Apr. 2026, To Present

  Kyoto University, Disaster Prevention Research Institute, Associate Professor
• From Nov. 2021, To Mar. 2026

  RIKEN, Center for Advanced Intelligence Project, Researcher
• From Apr. 2018, To Oct. 2021

  RIKEN, Center for Advanced Intelligence Project, Postdoctoral Researcher

ID,URL

• ORCID ID

  0000-0002-9688-9195

• J-Global ID

  202601002167152328

researchmap URL

• https://researchmap.jp/okazakitom

Research

Research Interests

• Earthquake Science
• Scientific Machine Learning

Papers

• Automatic Generation of Data Assimilation Python Code

  Nobuki KAME; Kazuro HIRAHARA; Masayuki KANO; Tomohisa OKAZAKI

  Zisin (Journal of the Seismological Society of Japan. 2nd ser.), 28 May 2025, Peer-reviewed

  
• Scientific Machine Learning Seismology

  Tomohisa OKAZAKI

  Zisin (Journal of the Seismological Society of Japan. 2nd ser.), 29 Jan. 2025, Peer-reviewed, Lead author

  
• Physics-informed linear model (PILM): analytical representations and application to crustal strain rate estimation

  Tomohisa Okazaki

  Earth, Planets and Space, 09 Apr. 2026, Peer-reviewed, Lead author

  
• Three-Dimensional Crustal Deformation Analysis Using Physics-Informed Deep Learning

  Tomohisa Okazaki; Takeo Ito; Kazuro Hirahara; Ryoichiro Agata; Masayuki Kano; Naonori Ueda

  Journal of Geophysical Research: Solid Earth, 11 Apr. 2026, Peer-reviewed, Lead author

  
• Physics-Informed Deep Learning for Forward and Inverse Modeling of Inplane Crustal Deformation

  Tomohisa Okazaki; Kazuro Hirahara; Takeo Ito; Masayuki Kano; Naonori Ueda

  Journal of Geophysical Research: Machine Learning and Computation, Mar. 2025, Peer-reviewed, Lead author

  
• Fault geometry invariance and dislocation potential in antiplane crustal deformation: physics-informed simultaneous solutions

  Tomohisa Okazaki; Kazuro Hirahara; Naonori Ueda

  Progress in Earth and Planetary Science, 14 Sep. 2024, Peer-reviewed, Lead author

  
• Comment on ‘Geophysical inversion and optimal transport’ by M. Sambridge, A. Jackson and A. P. Valentine

  Tomohisa Okazaki; Naonori Ueda

  Geophysical Journal International, 04 Jan. 2023, Peer-reviewed, Lead author

  
• Physics-informed deep learning approach for modeling crustal deformation

  Tomohisa Okazaki; Takeo Ito; Kazuro Hirahara; Naonori Ueda

  Nature Communications, 19 Nov. 2022, Peer-reviewed, Lead author

  
• Strain-rate Field of Japan Estimated from GNSS Data and Its Interpretation Based on Inter- and Intra-arc Deformation

  Yukitoshi FUKAHATA; Tomohisa OKAZAKI; Takuya NISHIMURA

  Journal of Geography (Chigaku Zasshi), 25 Oct. 2022, Peer-reviewed

  Access this paper :

  
• Time Variable Stress Inversion of Centroid Moment Tensor Data Using Gaussian Processes

  Tomohisa Okazaki; Yukitoshi Fukahata; Naonori Ueda

  Journal of Geophysical Research: Solid Earth, Sep. 2022, Peer-reviewed, Lead author

  
• Consistent estimation of strain-rate fields from GNSS velocity data using basis function expansion with ABIC

  Tomohisa Okazaki; Yukitoshi Fukahata; Takuya Nishimura

  Earth, Planets and Space, Dec. 2021, Peer-reviewed, Lead author

  
• Monotonic Neural Network for Ground-Motion Predictions to Avoid Overfitting to Recorded Sites

  Tomohisa Okazaki; Nobuyuki Morikawa; Hiroyuki Fujiwara; Naonori Ueda

  Seismological Research Letters, 01 Nov. 2021, Peer-reviewed, Lead author

  
• Ground-Motion Prediction Model Based on Neural Networks to Extract Site Properties from Observational Records

  Tomohisa Okazaki; Nobuyuki Morikawa; Asako Iwaki; Hiroyuki Fujiwara; Tomoharu Iwata; Naonori Ueda

  Bulletin of the Seismological Society of America, 01 Aug. 2021, Peer-reviewed, Lead author

  
• Simulation of broad-band ground motions with consistent long-period and short-period components using the Wasserstein interpolation of acceleration envelopes

  Tomohisa Okazaki; Hirotaka Hachiya; Asako Iwaki; Takahiro Maeda; Hiroyuki Fujiwara; Naonori Ueda

  Geophysical Journal International, 02 Jul. 2021, Peer-reviewed, Lead author

  
• Analytical investigations of the magnetotelluric directionality estimation in 1-D anisotropic layered media

  Tomohisa Okazaki; Naoto Oshiman; Ryokei Yoshimura

  Physics of the Earth and Planetary Interiors, Nov. 2016, Peer-reviewed, Lead author

  

Awards

• 23 Mar. 2023

  桜舞賞（研究奨励賞）（国立研究開発法人理化学研究所）
• 19 Mar. 2024

  若手学術奨励賞（公益社団法人日本地震学会）

External funds: Kakenhi

• Scientific Machine Learningで切り拓く地震研究の新展開

  Grant-in-Aid for Scientific Research (B)

  Basic Section 17040:Solid earth sciences-related

  Tohoku University

  加納 将行

  From 01 Apr. 2025, To 31 Mar. 2029, Granted

  科学的機械学習;地殻変動;地下構造;物理情報;断層すべり

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25K01084/
• Study on uncertainty quantification in strong-morion prediction and seismic hazard analyses

  Grant-in-Aid for Scientific Research (A)

  Medium-sized Section 25:Social systems engineering, safety engineering, disaster prevention engineering, and related fields

  National Research Institute for Earth Science and Disaster Prevention

  藤原 広行

  From 01 Apr. 2023, To 31 Mar. 2026, Granted

  地震動予測;地震ハザード評価;不確かさの定量評価;機械学習;地震動予測モデル;不確さの定量評価;代理モデル;強震動予測;地震ハザード

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23H00219/
• Depelopement of data-driven ground-motion models based on integration of observed and simulated strong-motion data

  Grant-in-Aid for Scientific Research (A)

  Medium-sized Section 25:Social systems engineering, safety engineering, disaster prevention engineering, and related fields

  National Research Institute for Earth Science and Disaster Prevention

  Hiroyuki Fujiwara

  From 01 Apr. 2020, To 31 Mar. 2023, Project Closed

  強震動;地震ハザード評価;地震動予測式;強震動データベース;非線形地盤応答;シミュレーション;機械学習;地震ハザード;観測記録;ビッグデータ

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H00292/