Nagao Hiromichi

• The University of Tokyo  The Graduate School of Information Science and Technology Department of Mathematical Informatics 

• 2023 - 2028 Mathematical Foundation for Seismic Modeling Pioneered by Information Statistics
• 2023 - 2027 International Joint Research on Seismological Big Data Analysis Techniques Using Artificial Intelligence
• 2021 - 2026 Synergy effect Through Human and Artificial Intelligence Towards New Era in Seismology
• 2019 - 2024 Innovative Methods for Scientific Computing in the Exascale Era by Integrations of (Simulation+Data+Learning)
• 2017 - 2023 Intelligent seismic data processing based on integration of next-generation seismic observations and the forefront of Bayesian statistics
2017 - 2023 ベイズ推論とスパースモデリングによる計測と情報の融合
2020 - 2022 Development of a sequential/non-sequential hybrid-type data assimilation method
2018 - 2022 Research and development of multivariate seasonal adjustment method
2017 - 2022 Development of risk assesment techniques for natural disasters based on data-driven simulator
2017 - 2020 Innovative four-dimensional variation method for data assimilation based on large-scale models
2016 - 2019 A Novel Development of Auto-tuning Technologies for Communication Avoiding and Reducing Algorithms
2014 - 2019 Study on physical interaction between multi-sphere and evaluation of global warming in the Antarctic by using propagation characteristics of subaudio frequency waves
2016 - 2018 Observation matrix design based on sparse modeling beneficial to rapid data assimilation
2014 - 2018 Construction of next-generation data assimilation for the solid Earth science
2013 - 2018 Assessment of Earthquake Disasters Based on Multiple-Earthquake Scenarios for Next Generation Urban Area Model
2014 - 2016 疎性モデリングとの融合によるデータ同化研究の新展開
2011 - 2015 Development of data assimilation system using cloud computing technology
2011 - 2014 Research on advancement of computer-intensive methods for statistical estimations along with Graphical Processing Units and development of application software
2006 - 2008 Elucidation of wide and deep electrical conductivity structure beneath the marginal region of the Eurasian Continent
2006 - 2007 電離層全電子数データを用いた常時地球自由振動励起源の探索

• Hiromichi Nagao, Shin-ichi Ito, Mitsuru Matsumura. Dominant mode extraction based on the four-dimensional variational method. The Proceedings of 27th International Conference on Information Fusion. 2024
• Tomoki Tokuda, Hiromichi Nagao. Wishart mixture-based multiple clustering for selecting seismic stations for low-frequency earthquake detection. 2024. 52. 2
• Atsushi Nakao, Tatsu Kuwatani, Shin-ichi Ito, Hiromichi Nagao. Adjoint-based data assimilation for reconstruction of thermal convection in a highly viscous fluid from surface velocity and temperature snapshots. Geophysical Journal International. 2023
• Tomoki Tokuda, Hiromichi Nagao. Seismic-phase detection using multiple deep learning models for global and local representations of waveforms. Geophysical Journal International. 2023. 235. 2. 1163-1182
• K Nakai, T Nagata, K Yamada, Y Saito, T Nonomura, M Kano, S Ito, H Nagao. Observation site selection for physical model parameter estimation toward process-driven seismic wavefield reconstruction. Geophysical Journal International. 2023. 234. 3. 1786-1805

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• 長尾 大道. データ同化の基礎と応用-Foundation of Data Assimilation and Its Applications. システム制御情報学会研究発表講演会講演論文集. 2022. 66. 885-891
• NAGAO Hiromichi, ITO Shin-ichi, KANEKO Ryosuke. Deepening of Earthquake Research Based on Data Science. Proceedings of the Annual Conference of JSAI. 2022. JSAI2022. 1G4OS22a01-1G4OS22a01
• NAGAO Hiromichi. Deepening of Data Assimilation and Its Application to Seismology. The Journal of The Institute of Electrical Engineers of Japan. 2021. 141. 6. 345-349
• Data Assimilation Beneficial to Materials Science. ふぇらむ = Bulletin of the Iron and Steel Institute of Japan : (一社)日本鉄鋼協会会報. 2021. 26. 8. 517-523
• 川畑 拓矢, 上野 玄太, 中野 慎也, 藤井 陽介, 三好 建正, 小守 信正, 増田 周平, 茂木 耕作, 小槻 峻司, 澤田 洋平, et al. シンポジウム 第9回データ同化ワークショップの報告. 天気. 2019. 66. 2. 161-164

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• Detection of deep low-frequency tremors from continuous paper records at a station in Southwest Japan about 50 years ago based on convolutional neural network for seismogram images
  (American Geophysical Union Fall Meeting 2022)
• Robust seismic phase detection method modeling both global and local representations of waveform
  (American Geophysical Union Fall Meeting 2022)
• 地震学と情報地質学の接点
  (日本情報地質学会シンポジウム2022 2022)
• シンプレクティックアジョイント法に基づくスロースリップ断層面の摩擦不均一性の不確実性評価
  (日本地震学会2022年度秋季大会 2022)
• データ駆動型低次元モデルを用いた圧縮センシングの地震波動場再構成への適用
  (日本地震学会2022年度秋季大会 2022)

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• 1997 - 2002 Kyoto University Graduate School of Science Doctor's Course, Department of Geophysics
• 1995 - 1997 Kyoto University Graduate School of Science Master's Course, Department of Geophysics
• 1991 - 1995 Kyoto University Faculty of Science
• 1988 - 1991 Kinran Senri High School

• 博士(理学) (京都大学)

• 2013/11 - 現在 The Institute of Statistical Mathematics
• 2013/10 - 現在 The University of Tokyo Graduate School of Information Science and Technology Associate Professor
• 2013/09 - 現在 The University of Tokyo Earthquake Research Institute Associate Professor
• 2010/12 - 2013/08 Research Organization of Information and Systems The Institute of Statistical Mathematics Project Associate Professor
• 2009/06 - 2010/11 Research Organization of Information and Systems The Institute of Statistical Mathematics Researcher
2006/03 - 2009/05 Japan Agency for Marine-Earth Science and Technology Institute for Research on Earth Evolution Scientist
2002/04 - 2006/02 Japan Nuclear Cycle Development Institute Tono Geoscience Center Visiting Scientist

• 2021/04 - 現在 科学技術振興機構 情報計測オンラインセミナー 運営委員
• 2020/04 - 現在 応用統計学会 編集委員

• 2024/05 - 応用統計学会 優秀論文賞

応用統計学会 ,  American Geophysical Union ,  THE GEODETIC SOCIETY OF JAPAN ,  SOCIETY OF GEOMAGNETISM AND EARTH, PLANETARY AND SPACE SCIENCES ,  SEISMOLOGICAL SOCIETY OF JAPAN ,  THE JAPAN STATISTICAL SOCIETY ,  Society for Industrial and Applied Mathematics ,  European Geosciences Union ,  JAPAN GEOSCIENCE UNION ,  American Physical Society ,  THE JAPAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS