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J-GLOBAL ID:200901067763288035   Update date: Apr. 15, 2025

Nagao Hiromichi

ナガオ ヒロミチ | Nagao Hiromichi
Affiliation and department:
Job title: 准教授
Other affiliations (1):
  • The University of Tokyo  The Graduate School of Information Science and Technology Department of Mathematical Informatics 
Homepage URL  (2): http://www.eri.u-tokyo.ac.jp/people/nagaoh/http://www.eri.u-tokyo.ac.jp/nagaoh/index_e.html
Research field  (2): Mathematical informatics ,  Solid earth science
Research keywords  (13): Data Science ,  Deep Learning ,  seismology ,  data-driven modeling ,  data assimilation ,  地球・惑星内部構造 ,  地球電磁気 ,  地球観測 ,  大気振動 ,  GPS ,  電離層 ,  地球自由振動 ,  GPS-TEC
Research theme for competitive and other funds  (20):
  • 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
Show all
Papers (54):
  • Atsushi Nakao, Tatsu Kuwatani, Shin-ichi Ito, Hiromichi Nagao. Adjoint-based marker-in-cell data assimilation for constraining thermal and flow processes from Lagrangian particle records. Journal of Geophysical Research Solid Earth. 2025. 2
  • 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
more...
MISC (39):
  • 長尾 大道, 徳田 智磯. 最先端情報科学による地震研究の深化. 計測と制御. 2025. 64. 3. 145-150
  • 長尾 大道. 人工知能と自然知能の対話・協働による地震研究の新展開. 地震ジャーナル. 2023. 76. 64-71
  • 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
more...
Lectures and oral presentations  (185):
  • 人工知能に基づく地震波形表現モデル獲得
    (Conductivity Anomaly研究会 2025)
  • 連続時間生成モデルによる地震波形データに基づくスロー地震の確率微分方程式表現の獲得
    (日本統計学会春季集会 2025)
  • 最先端の情報科学に基づく固体地球観測データ解析技術・モデリング技術の開発研究
    (災害の軽減に貢献するための地震火山観測研究計画(第3次) 令和6年度成果報告シンポジウム 2025)
  • Use of sequential models to detect seismic event detection and phase identification using Distributed Acoustic Sensing records of seafloor cable in Sanriku
    (American Geophysical Union Fall Meeting 2024)
  • 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
    (American Geophysical Union Fall Meeting 2024)
more...
Education (4):
  • 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
Professional career (1):
  • 博士(理学) (京都大学)
Work history (7):
  • 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
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Committee career (3):
  • 2024/05 - 現在 応用統計学会 企画理事
  • 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 - 2022/03 応用統計学会 編集委員
Awards (1):
  • 2024/05 - 応用統計学会 優秀論文賞
Association Membership(s) (11):
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
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