犬伏 正信

Masanobu Inubushi


大阪大学 基礎工学研究科
機能創成専攻
非線形力学領域
流体力学グループ

助教,博士(理学)

〒560-8531 豊中市待兼山町1-3
E-mail:
Japanese / English
(更新:2020年6月27日)


研究分野

非線形力学・流体力学・機械学習


研究内容:

学位

  • 2008年3月 学士(工学)東京工業大学 工学部 機械宇宙学科
  • 2010年3月 修士(理学)京都大学 大学院 理学研究科 数学・数理解析専攻(数理解析系)
  • 2013年3月 博士(理学)京都大学 大学院 理学研究科 数学・数理解析専攻(数理解析系)
  • 博士論文:Covariant Lyapunov Analysis of Navier-Stokes Turbulence
    (指導教官: 山田道夫教授,竹広真一准教授)

職歴

  • 2010年4月-2012年3月 京都大学 数理解析研究所・RA
  • 2010年4月-2012年3月 京都大学 大学院 理学研究科・TA (線型代数学演習B)
  • 2012年4月-2013年3月 京都大学 数理解析研究所・日本学術振興会 特別研究員(DC2)
  • 2013年4月-2018年2月 NTTコミュニケーション科学基礎研究所・研究員
  • 2018年6月-2019年3月 NTTコミュニケーション科学基礎研究所・客員研究員(兼務)
  • 2018年3月-     大阪大学 基礎工学研究科 機能創成専攻 非線形力学領域・助教


投稿中論文

  • Masanobu Inubushi and Susumu Goto,
    "Transfer learning for nonlinear dynamics and its application to fluid turbulence". New!
  • Masanobu Inubushi, Kazuyuki Yoshimura, Yoshiaki Ikeda, and Yuto Nagasawa,
    "On the characteristics and structures of dynamical systems suitable for reservoir computing". New!

解説記事

  • 犬伏正信,吉村和之,
    "リザバーコンピューティングに適した力学系の特性と構造",
    電子情報通信学会誌 Vol.102, No.2, pp.114-120 (2019).
    解説記事のPDFファイル New!
  • 中島光雅,犬伏正信,郷隆司,橋本俊和,
    "コヒーレント駆動光リザーバコンピューティング",
    光学 第48巻 第6号 (2019).New!


査読付き論文

  1. Takumi Yokosaka, Masanobu Inubushi, Scinob Kuroki, and Junji Watanabe,
    "Frequency of Switching Touching Mode Reflects Tactile Preference Judgment",
    Scientific Reports 10, 3022 (2020). New!
  2. Masanobu Inubushi,
    "Unpredictability and robustness of chaotic dynamics for physical random number generation",
    Chaos: An Interdisciplinary Journal of Nonlinear Science 29, 033133 (2019). New!
    https://aip.scitation.org/doi/10.1063/1.5090177
  3. Kosuke Takano, Chihiro Sugano, Masanobu Inubushi, Kazuyuki Yoshimura, Satoshi Sunada, Kazutaka Kanno, and Atsushi Uchida,
    "Compact reservoir computing with a photonic integrated circuit",
    Optics Express, 26(22) 29424-29439 (2018).
  4. Makoto Tomiyama, Kazuto Yamasaki, Kenichi Arai, Masanobu Inubushi, Kazuyuki Yoshimura, and Atsushi Uchida,
    "Effect of bandwidth limitation of optical noise injection on common-signal-induced synchronization in multi-mode semiconductor lasers",
    Optics Express, 26(10), 13521-13535 (2018).
  5. Takuma Sasaki, Izumi Kakesu, Yusuke Mitsui, Damien Rontani, Atsushi Uchida, Satoshi Sunada, Kazuyuki Yoshimura, and Masanobu Inubushi,
    “Common-signal-induced synchronization in photonic integrated circuits and its application to secure key distribution”,
    Optics Express, 25(21), 26029-26044 (2017).
  6. Shoma Ohara, Andreas Karsaklian Dal Bosco, Kazusa Ugajin, Atsushi Uchida, Takahisa Harayama, and Masanobu Inubushi,
    "Dynamics-dependent synchronization in on-chip coupled semiconductor lasers",
    Physical Review E 96, 032216 (2017).
  7. Masanobu Inubushi and Kazuyuki Yoshimura,
    "Reservoir Computing Beyond Memory-Nonlinearity Trade-off",
    Scientific Reports 7, 10199 (2017).
    https://www.nature.com/articles/s41598-017-10257-6
  8. Tomohiro Ito, Hayato Koizumi, Nobumitsu Suzuki, Izumi Kakesu, Kento Iwakawa, Atsushi Uchida, Takeshi Koshiba, Jun Muramatsu, Kazuyuki Yoshimura, Masanobu Inubushi, and Peter Davis,
    "Physical implementation of oblivious transfer using optical correlated randomness",
    Scientific Reports 7, 8444 (2017).
    https://www.nature.com/articles/s41598-017-08229-x
  9. Andreas Karsaklian Dal Bosco, Naoki Sato, Yuta Terashima, Shoma Ohara, Atsushi Uchida, Takahisa Harayama, and Masanobu Inubushi,
    "Random number generation from intermittent optical chaos",
    IEEE Journal of Selected Topics in Quantum Electronics, vol. 23, no. 6, pp. 1-8, (2017).
  10. Nobumitsu Suzuki, Takuya Hida, Makoto Tomiyama, Atsushi Uchida, Kazuyuki Yoshimura, Kenichi Arai, and Masanobu Inubushi,
    "Common-signal-induced synchronization in semiconductor lasers with broadband optical noise signal",
    IEEE Journal of Selected Topics in Quantum Electronics, vol. 23, no. 6, pp. 1-10, (2017).
  11. Andreas Karsaklian Dal Bosco, Syoma Ohara, Naoki Sato, Yasuhiro Akizawa, Atsushi Uchida, Takahisa Harayama, and Masanobu Inubushi,
    "Dynamics versus feedback delay time in photonic integrated circuits: Mapping the short cavity regime",
    IEEE Photonics Journal, Volume: 9, Issue: 2 (2017).
  12. Kazusa Ugajin, Yuta Terashima, Kento Iwakawa, Atsushi Uchida, Takahisa Harayama, Kazuyuki Yoshimura, and Masanobu Inubushi,
    "Real-time fast physical random number generator with a photonic integrated circuit",
    Optics Express 25(6), 6511-6523 (2017).
  13. Masanobu Inubushi, Kazuyuki Yoshimura, and Peter Davis
    "Noise robustness of unpredictability in a chaotic laser system: Toward reliable physical random bit generation”
    Physical Review E 91, 022918 (2015).
  14. Masanobu Inubushi, Kazuyuki Yoshimura, Kenichi Arai, and Peter Davis
    “Physical random bit generators and their reliability: focusing on chaotic laser systems”
    Nonlinear Theory and Its Applications (invited paper), IEICE, vol. 6 no. 2 (2015).
  15. Masanobu Inubushi, Shin-ichi Takehiro, Michio Yamada
    “Regeneration cycle and the covariant Lyapunov vectors in a minimal wall turbulence''
    Physical Review E 92, 023022 (2015).
  16. Masanobu Inubushi, Miki U Kobayashi, Shin-ichi Takehiro, and Michio Yamada
    “Covariant Lyapunov Analysis of Chaotic Kolmogorov Flows”
    Physical Review E 85, 016331 (2012).


査読付き会議録

  1. Masanobu Inubushi and Susumu Goto
    "Transferring Reservoir Computing: Formulation and Application to Fluid Physics"
    Lecture Notes in Computer Science 11731, 193, Springer (2019).New! https://link.springer.com/chapter/10.1007/978-3-030-30493-5_22
  2. Mitsumasa Nakajima, Masanobu Inubushi, Takashi Goh, and Toshikazu Hashimoto
    "Coherently Driven Ultrafast Complex-Valued Photonic Reservoir Computing"
    Proceedings Conference on Lasers and Electro-Optics, page SM1C.4 (2018).
    https://www.osapublishing.org/abstract.cfm?URI=CLEO_SI-2018-SM1C.4
  3. Masanobu Inubushi, Miki U Kobayashi, Shin-ichi Takehiro, Michio Yamada
    "Covariant Lyapunov Analysis of Chaotic Kolmogorov Flows and Time-correlation Function"
    Procedia IUTAM, 5, 244-248 (2012).
    https://www.sciencedirect.com/science/article/pii/S2210983812000934


国際会議

  1. Masanobu Inubushi and Susumu Goto
    "Transferring reservoir computing: formulation and application to fluid physics"
    Deep Learning and Physics 2019, 1st Nov. (2019).New!
  2. Keita Kohashi, Masanobu Inubushi, and Susumu Goto
    "Reservoir computing harnessing spatiotemporal nonlinear dynamics"
    International Symposium on Nonlinear Theory and its Applications, (NOLTA2020), 3rd Dec. (2019).New!
  3. Masanobu Inubushi and Susumu Goto
    "Transferring Reservoir Computing: Formulation and Application to Fluid Physics"
    The 28th International Conference on Artificial Neural Networks, 19th Sep. (2019).New!
  4. Mitsumasa Nakajima, Masanobu Inubushi, Takashi Goh, and Toshikazu Hashimoto
    "Coherently Driven Ultrafast Complex-Valued Photonic Reservoir Computing"
    CLEOR: Conference on Lasers and Electro-Optics, 14th May (2018).
  5. Masanobu Inubushi, and Kazuyuki Yoshimura
    “Reservoir Computing Beyond Memory-Nonlinearity Trade-off”
    The 37th Dynamics Days Europe, 7th June (2017).
  6. Masanobu Inubushi, and Kazuyuki Yoshimura
    “A numerical study on the role of nonlinearityof activation function in reservoir computing”
    The 36th Dynamics Days Europe, 7th June (2016).
  7. Masanobu Inubushi, Kazuyuki Yoshimura, and Peter Davis
    “Noise-robustness of physical random bit generation”
    The 35th Dynamics Days Europe, 9th Sep. (2015).
  8. Masanobu Inubushi and Kazuyuki Yoshimura
    “Memory capacity and time scales in delay dynamical systems for reservoir computing”
    The 35th Dynamics Days Europe, 9th Sep. (2015).
  9. Masanobu Inubushi, Shin-ichi Takehiro, and Michio Yamada
    “Covariant Lyapunov analysis and its application to Navier-Stokes flows”
    The 9th International Conference on Computational Physics, 9th Jan. (2015).
  10. Masanobu Inubushi, Shin-ichi Takehiro, Michio Yamada
    “The regeneration cycle and the covariant Lyapunov vectors in a minimal wall turbulence”
    Dynamics Days Asia-Pacific 2014, 22th July (2014).
  11. Masanobu Inubushi, Kazuyuki Yoshimura, and Peter Davis
    “Noise-Robustness of Random Bit Generations by Chaotic Semiconductor Lasers”
    International Symposium on Nonlinear Theory and its Applications, 17th Sep. (2014).
  12. Masanobu Inubushi, Shin-ichi Takehiro, and Michio Yamada
    “Orbital instability of the regeneration cycle in minimal Couette turbulence”
    International Conference on Fluid Mechanics, Barcelona, Spain, 24 Feb.-2 Mar. (2013).
  13. Masanobu Inubushi, Miki U. Kobayashi, Shin-ichi Takehiro, and Michio Yamada
    “Covariant Lyapunov Analysis of Chaotic Kolmogorov Flows and Time-correlation Function”
    IUTAM Symposium on 50 Years of Chaos: Applied and Theoretical, Kyoto University, Clock Tower Centennial Hall, Kyoto, Japan, 28 Nov.-2 Dec. (2011).
  14. Masanobu Inubushi, Miki U. Kobayashi, Shin-ichi Takehiro
    “Covariant Lyapunov Analysis of Chaotic Kolmogorov Flows and Time-correlation Functions”
    8th International Summer School/Conference, LET'S FACE CHAOS THROUGH NONLINEAR DYNAMICS, Center for Applied Mathematics and Theoretical Physics, University of Maribor, Slovenia, 2 July (2011).
  15. Masanobu Inubushi, Miki U. Kobayashi, Shin-ichi Takehiro, and Michio Yamada
    “Covariant Lyapunov Analysis of Chaotic Kolmogorov Flows”
    Dynamics Days Europe 2010, Bristol, UK, 6-10 Sep. (2010).


所属学会

日本物理学会,日本流体力学会,日本機械学会


学会活動

  • 編集委員
  • ・電子情報通信学会 会誌編集委員会委員(2016-2018)
    ・日本流体力学会 ながれ編集委員(2019-)
  • オーガナイザ
  • ・国際会議 The 36th Dynamics Days Europe ミニシンポジウム"Reservoir Computing and Laser Dynamics" オーガナイザー
    ・レーザー学会 『レーザーのカオス・ノイズダイナミクスとその応用』専門委員会 専門委員
    ・レーザー学会 『レーザーのカオス・ノイズダイナミクスとその応用』第22回専門委員会(2017年6月開催) オーガナイザー
    ・研究集会 『現象と数理モデル2017』(2017年12月開催) オーガナイザー
    ・1-day workshop on reservoir computing — modeling, control and prediction — (2017年 9月5日開催)世話人
    日本流体力学会 年会2018実行委員(幹事)
    ・日本流体力学会 年会 流体数理セッションオーガナイザ(2019-)
  • 査読委員
  • ・米国物理学会 Physical Review Letters, Physical Review E (2013-)
    ・電子情報通信学会論文誌 Nonlinear Theory and Its Applications (2016-)
    ・日本物理学会 Progress of Theoretical and Experimental Physics (2017-)
    ・Elsevier Neural Networks (2018-)
    ・Cambridge University Press, Journal of Fluid Mechanics(2019-)


表彰

  • 2015年4月 NTT コミュニケーション科学基礎研究所 所長表彰


取材その他

  • "NTT、光の反射で「解けない」暗号 最速の技術"
    日本経済新聞(2016年6月27日)
  • "安全な暗号技術開発 レーザーの波形を活用"
    日本経済新聞(2017年9月18日)


担当授業

2018年度:

  • 数理力学演習
  • 基礎セミナー(非線形力学入門)
  • 物理学実験
  • 総合演習

2019年度:

  • 数理力学演習
  • 学問への扉(非線形力学入門-プログラミングを通じて学ぶ非線形⼒学と機械学習-)
  • 物理学実験
  • 総合演習