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J-GLOBAL ID：201601004041192428 Update date: Apr. 01, 2025

Nakano Naoto

ナカノナオト | Nakano Naoto

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Affiliation and department：
Job title： Associate Professor

Research field (3)： Statistical science , Applied mathematics and statistics , Basic mathematics

Research keywords (6)： Data-Driven Dynamical Modelling , Reservoir computing , Stochastic modelling , Time-series analysis , Delay embedding , Mathematics for Machine Learning

Research theme for competitive and other funds (9)：

2024 - 2028 A mathematical study of causality between variables in dynamical systems based on theories of algebraic geometry
2022 - 2026 Development of a novel data assimilation technique for application to particle-based simulation models
2023 - 2025 A statistical physics and dynamical system approach to input-output integrated random networks
2020 - 2024 A mathematical study of dimensionality reduction and embedding by theories of delay-coordinate systems and algebraic geometry
2016 - 2019 Cross-cutting research of data- and model-driven methods by interlacing deductive and inductive cellular automata constructing method

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Papers (16)：

Akira Tsuchiyama, Megumi Matsumoto, Junya Matsuno, Masahiro Yasutake, Tomoki Nakamura, Takaaki Noguchi, Akira Miyake, Kentaro Uesugi, Akihisa Takeuchi, Shota Okumura, et al. Three-dimensional textures of Ryugu samples and their implications for the evolution of aqueous alteration in the Ryugu parent body. Geochimica et Cosmochimica Acta. 2024. 375. 146-172
Masaru Inatsu, Mio Matsueda, Naoto Nakano, Sho Kawazoe. Prediction skill and practical predictability depending on the initial atmospheric states in S2S forecasts. Journal of the Atmospheric Sciences. 2023. 80. 6. 1449
Junichi Haruna, Riki Toshio, Naoto Nakano. Path integral approach to universal dynamics of reservoir computers. Physical Review E. 2023. 107. 3
Masaru Inatsu, Tamaki Suematsu, Yuta Tamaki, Naoto Nakano, Kao Mizushima, Mizuki Shinohara. Development of a Pressure-Precipitation Transmitter. Journal of Applied Meteorology and Climatology. 2019. 58. 11. 2453-2468
Takuya Aikawa, Masaru Inatsu, Naoto Nakano, Tetsuya Iwano. Mode-Decomposed Equation Diagnosis for Atmospheric Blocking Development. Journal of the Atmospheric Sciences. 2019. 76. 10. 3151-3167

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MISC (11)：

川原田茜, 宮路智行, 中野直人. 統計的にセル・オートマトンをモデルする:その目的と実践 (統計的モデリングと予測理論のための統合的数理研究). 数理解析研究所講究録. 2017. 2057. 67-80
中野直人, 稲津將, 楠岡誠一郎, 斉木吉隆. P337 確率微分方程式モデルによる時系列予測可能性解析(ポスター・セッション). 大会講演予講集. 2015. 107. 355-355
中野直人, 稲津將, 楠岡誠一郎, 齊木吉隆. 時系列データに対する確率微分方程式モデルの統計的係数決定公式と軌道の予測可能性について (偏微分方程式の背後にある確率過程と解の族が示す統計力学的な現象の解析). 数理解析研究所講究録. 2014. 1919. 38-60
玉置雄大, 稲津將, 久野龍介, 中野直人. D155 夏季北海道におけるサンプリングダウンスケーリング(気候システムII,一般口頭発表). 大会講演予講集. 2014. 105. 158-158
稲津將, 中野直人, 楠岡誠一郎, 向川均. A163 非定常揺動散逸定理を用いた冬季成層圏循環の予測可能性の解析(気候システムI,口頭発表). 大会講演予講集. 2014. 106. 117-117

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Lectures and oral presentations (125)：

時系列埋め込みでモデリング・機械学習との関連
(2021年度MIMS研究集会「現象と数理モデル〜数理モデリング学の形成に向けて〜」 2022)
時系列埋め込みによるデータ駆動モデルとその状態制御に向けて
(第64回自動制御連合講演会 OS09「低次元モデルに基づく先進的流体制御」 2021)
リザバー計算機における普遍性と高次統計
(第24回情報論的学習理論ワークショップ 2021)
リザバー計算機における普遍性と計算能力のサイズ依存性
(日本物理学会2021年秋季大会・物性 2021)
MATLABを使った数学・統計入門の授業 - 京都大学の事例から学ぶプログラミング×数学教育
(MATLABを使った数学・統計入門の授業 - 京都大学の事例から学ぶプログラミング×数学教育 2021)

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Education (3)：

2007 - 2010 Keio University Graduate School of Science and Technology Fundamental Science and Technology
2005 - 2007 Keio University Graduate School of Science and Technology Fundamental Science and Technology
2001 - 2005 Keio University Faculty of Science and Technology Department of Mathematics

Professional career (1)：

博士(理学) (慶應義塾大学)

Work history (12)：

2025/04 - 現在 Meiji University School of Interdisciplinary Mathematical Sciences Associate Professor
2022/04 - 2025/03 Meiji University Graduate School of Advanced Mathematical Sciences Associate Professor (non-tenured)
2022/10 - 2023/03 Keio University
2017/09 - 2022/03 Kyoto University Center for Innovative Research and Education in Data Science, Institute for Liberal Arts and Sciences Program-Specific Senior Lecturer
2018/04 - 2020/03 National Institute of Science and Technology Policy Science and Technology Foresight Center The S&T Experts Network Investigator

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Awards (2)：

2018/03 - The Mathematical Society of Japan The 2017 MSJ Prize for Excellent Applied Mathematicians Data-driven dynamical reconstruction: Mathematical analysis for delay and derivative embeddings
2015/12 - 3rd International Workshop on Applications and Fundamentals of Cellular Automata AFCA Best Paper Award Proper choice of spatio-temporal scale and dataset subsampling for empirical CA construction

Association Membership(s) (6)：

Information Processing Society of Japan , Society for Industrial and Applied Mathematics , Meteorological Society of Japan , THE JAPAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS , THE JAPAN SOCIETY OF FLUID MECHANICS , THE MATHEMATICAL SOCIETY OF JAPAN

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