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Obuchi, Tomoyuki

Graduate School of Informatics, Department of Informatics Associate Professor

Obuchi, Tomoyuki
list
    Last Updated :2023/09/22

    Basic Information

    Faculty

    • 工学部

    Academic Degree

    • 修士(理学)(東京工業大学)
    • 博士(理学)(東京工業大学)

    Research History

    • From Dec. 2019, To Present
      Kyoto University, Graduate School of Informatics Department of Systems Science, Associate professor
    • From Apr. 2016, To Nov. 2019
      Tokyo Institute of Technology, School of Computing, Assistant Professor
    • From Oct. 2013, To Mar. 2016
      Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Assistant Professor
    • From Sep. 2012, To Sep. 2013
      Ecole Normale Superieure Paris, Department of theoretical physics, Postdoctoral researcher
    • From Apr. 2012, To Sep. 2013
      Osaka University, Cybermedia Center, 日本学術振興会特別研究員PD
    • From Apr. 2010, To Mar. 2012
      Osaka University, Graduate School of Science Department of Earth and Space Science, 特任研究員
    • From Apr. 2008, To Mar. 2010
      Tokyo Institute of Technology, Graduate School of Science and Engineering, 日本学術振興会特別研究員DC2

    ID,URL

    researchmap URL

    list
      Last Updated :2023/09/22

      Research

      Research Topics, Overview of the research

      • Research Topics

        The applied mathematical aspects of statistical mechanics, a branch of physics, is pursued. The current main focus is on applications to the field of machine learning.
      • Overview of the research

        Theoretical issues in information theory and machine learning are studied using techniques from statistical physics such as replica method, mean-field approximation, and Monte Carlo methods. Some notable research achievements so far include the clarification of reconstruction limits and the development of hyperparameter estimation methods in sparse estimation. Currently, I am interested in enhancing our understanding of modern machine learning models having complex structures, such as deep learning. To this end, theoretical analyses in some specific models and tasks are conducted. Some new learning frameworks are suggested based on those analyses.

      Research Interests

      • 数理生物
      • information theory
      • quantum dynamics
      • machine learning
      • learning theory
      • statistical physics

      Research Areas

      • Informatics, Soft computing
      • Natural sciences, Mathematical physics and basic theory
      • Informatics, Statistical science

      Papers

      • Sparse Modeling for Spectrometer Based on Band Measurement
        Kyoya Uemura; Tomoyuki Obuchi; Toshiyuki Tanaka
        21 Jul. 2023
      • On Model Selection Consistency of Lasso for High-Dimensional Ising Models on Tree-like Graphs
        Xiangming Meng; Tomoyuki Obuchi; Yoshiyuki Kabashima
        Proceedings of Machine Learning Research, 2023, Peer-reviewed
      • 22pBT-11 Statistical mechanical analysis on flocks model in which interactions are defined on sparse graph
        Hikita S.; Obuchi T.; Kabashima Y.
        Meeting Abstracts of the Physical Society of Japan, 2016
      • 22pBT-10 Semi-analytic cross validation method for LASSO
        Obuchi T.; Kabashima Y.
        Meeting Abstracts of the Physical Society of Japan, 2016
      • 19aCQ-5 Distribution of sparse solutions in indeterminate linear equations
        Obuchi T.; Kabashima Y.
        Meeting Abstracts of the Physical Society of Japan, 2015
      • Assessing transfer entropy from biochemical data
        Takuya Imaizumi; Nobuhisa Umeki; Ryo Yoshizawa; Tomoyuki Obuchi; Yasushi Sako; Yoshiyuki Kabashima
        Physical Review E, 08 Mar. 2022
      • Ising Model Selection Using $\ell_1$-Regularized Linear Regression: A Statistical Mechanics Analysis
        Xiangming Meng; Tomoyuki Obuchi; Yoshiyuki Kabashima
        Advances in Neural Information Processing Systems, Aug. 2021
      • Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control
        Ayaka Sakata; Tomoyuki Obuchi
        Journal of Statistical Mechanics: Theory and Experiment, 01 Sep. 2021, Last author
      • Sharp Asymptotics of Matrix Sketching for a Rank-One Spiked Model
        Fumito Tagashira; Tomoyuki Obuchi; Toshiyuki Tanaka
        2021 IEEE International Symposium on Information Theory (ISIT), 12 Jul. 2021
      • Structure learning in inverse Ising problems using ℓ 2-regularized linear estimator
        Xiangming Meng; Tomoyuki Obuchi; Yoshiyuki Kabashima
        Journal of Statistical Mechanics: Theory and Experiment, 01 May 2021
      • Reconstructing Sparse Signals via Greedy Monte-Carlo Search
        Kao Hayashi; Tomoyuki Obuchi; Yoshiyuki Kabashima
        Journal of the Physical Society of Japan, 15 Dec. 2020, Corresponding author
      • Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion
        Yu Terada; Tomoyuki Obuchi; Takuya Isomura; Yoshiyuki Kabashima
        Neural Computation, Nov. 2020
      • Learning performance in inverse Ising problems with sparse teacher couplings
        Alia Abbara; Yoshiyuki Kabashima; Tomoyuki Obuchi; Yingying Xu
        Journal of Statistical Mechanics: Theory and Experiment, 06 Jul. 2020, Peer-reviewed
      • Empirical Bayes method for Boltzmann machines
        Muneki Yasuda; Tomoyuki Obuchi
        Journal of Physics A: Mathematical and Theoretical, 10 Jan. 2020
      • Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration
        Tomoyuki Obuchi; Ayaka Sakata
        Journal of Physics A: Mathematical and Theoretical, 11 Oct. 2019
      • Semi-Analytic Resampling in Lasso
        Tomoyuki Obuchi; Yoshiyuki Kabashima
        Journal of Machine Learning Research, Apr. 2019, Peer-reviewed
      • Statistical mechanical analysis of sparse linear regression as a variable selection problem
        Tomoyuki Obuchi; Yoshinori Nakanishi-Ohno; Masato Okada; Yoshiyuki Kabashima
        Journal of Statistical Mechanics: Theory and Experiment, Oct. 2018, Peer-reviewed
      • Mean-field theory of graph neural networks in graph partitioning
        Tatsuro Kawamoto; Masashi Tsubaki; Tomoyuki Obuchi
        Advances in Neural Information Processing Systems 31, Sep. 2018, Peer-reviewed
      • Objective and efficient inference for couplings in neuronal networks
        Yu Terada; Tomoyuki Obuchi; Takuya Isomura; Yoshiyuki Kabashima
        Advances in Neural Information Processing Systems 31, Sep. 2018, Peer-reviewed
      • Accelerating Cross-Validation in Multinomial Logistic Regression with L1-Regularization
        Tomoyuki Obuchi; YOSHIYUKI KABASHIMA
        Journal of Machine Learning Research, Sep. 2018, Peer-reviewed
      • Accelerating cross-validation with total variation and its application to super-resolution imaging
        Tomoyuki Obuchi; Shiro Ikeda; Kazunori Akiyama; Yoshiyuki Kabashima
        PLoS ONE, Dec. 2017, Peer-reviewed
      • Complex semiclassical analysis of the Loschmidt amplitude and dynamical quantum phase transitions
        Tomoyuki Obuchi; Sei Suzuki; Kazutaka Takahashi
        PHYSICAL REVIEW B, May 2017, Peer-reviewed
      • Random versus maximum entropy models of neural population activity
        Ulisse Ferrari; Tomoyuki Obuchi; Thierry Mora
        PHYSICAL REVIEW E, Apr. 2017, Peer-reviewed
      • Sampling approach to sparse approximation problem: Determining degrees of freedom by simulated annealing
        Tomoyuki Obuchi; Yoshiyuki Kabashima
        European Signal Processing Conference, 28 Nov. 2016, Peer-reviewed
      • Relative species abundance of replicator dynamics with sparse interactions
        Tomoyuki Obuchi; Yoshiyuki Kabashima; Kei Tokita
        JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Nov. 2016, Peer-reviewed
      • Boltzmann-machine learning of prior distributions of binarized natural images
        Tomoyuki Obuchi; Hirokazu Koma; Muneki Yasuda
        Journal of the Physical Society of Japan (JPSJ), Oct. 2016, Peer-reviewed
      • Multiple peaks of species abundance distributions induced by sparse interactions
        Tomoyuki Obuchi; Yoshiyuki Kabashima; Kei Tokita
        PHYSICAL REVIEW E, Aug. 2016, Peer-reviewed
      • Sparse approximation based on a random overcomplete basis
        Yoshinori Nakanishi-Ohno; Tomoyuki Obuchi; Masato Okada; Yoshiyuki Kabashima
        JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Jun. 2016, Peer-reviewed
      • Cross validation in LASSO and its acceleration
        Tomoyuki Obuchi; Yoshiyuki Kabashima
        JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, May 2016, Peer-reviewed
      • Monte Carlo Approach to sparse approximation problem
        Obuchi Tomoyuki; Kabashima Yoshiyuki
        Meeting Abstracts of the Physical Society of Japan, 2016
      • Sparse linear regression for transmission coefficient based on LASSO
        Obuchi Tomoyuki; Kabashima Yoshiyuki; Ando Yasunobu; Fujikake So; Watanabe Satoshi
        Meeting Abstracts of the Physical Society of Japan, 2016
      • Cross validation in Monte Carlo method for sparse approximation problem
        Obuchi Tomoyuki; Kabashima Yoshiyuki
        Meeting Abstracts of the Physical Society of Japan, 2016
      • Sparse approximation problem: how rapid simulated annealing succeeds and fails
        Tomoyuki Obuchi; Yoshiyuki Kabashima
        INTERNATIONAL MEETING ON HIGH-DIMENSIONAL DATA-DRIVEN SCIENCE (HD3-2015), 2016, Peer-reviewed
      • Approximate cross-validation formula for Bayesian linear regression
        Yoshiyuki Kabashima; Tomoyuki Obuchi; Makoto Uemura
        2016 54TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2016, Peer-reviewed
      • Learning probabilities from random observables in high dimensions: the maximum entropy distribution and others
        Tomoyuki Obuchi; Simona Cocco; Rémi Monasson
        Journal of Statistical Physics, Aug. 2015, Peer-reviewed
      • Learning probability distributions from smooth observables and the maximum entropy principle: some remarks
        Tomoyuki Obuchi; Remi Monasson
        STATPHYS-KOLKATA VIII, 2015, Peer-reviewed
      • Monte Carlo simulations of the three-dimensional XY spin glass focusing on chiral and spin order
        Tomoyuki Obuchi; Hikaru Kawamura
        Physical Review B - Condensed Matter and Materials Physics, 31 May 2013, Peer-reviewed
      • Zeros of the partition function and dynamical singularities in spin-glass systems
        K. Takahashi; T. Obuchi
        ELC INTERNATIONAL MEETING ON INFERENCE, COMPUTATION, AND SPIN GLASSES (ICSG2013), 2013, Peer-reviewed
      • Dynamical singularities of glassy systems in a quantum quench
        Tomoyuki Obuchi; Kazutaka Takahashi
        PHYSICAL REVIEW E, Nov. 2012, Peer-reviewed
      • Spin and chiral orderings of the antiferromagnetic XY model on the triangular lattice and their critical properties
        Tomoyuki Obuchi; Hikaru Kawamura
        Journal of the Physical Society of Japan, Apr. 2012, Peer-reviewed
      • Partition-function zeros of spherical spin glasses and their relevance to chaos
        Tomoyuki Obuchi; Kazutaka Takahashi
        JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Mar. 2012, Peer-reviewed
      • Statistical mechanical analysis of a hierarchical random code ensemble in signal processing
        Tomoyuki Obuchi; Kazutaka Takahashi; Koujin Takeda
        JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Feb. 2011, Peer-reviewed
      • Replica symmetry breaking, complexity, and spin representation in the generalized random energy model
        Tomoyuki Obuchi; Kazutaka Takahashi; Koujin Takeda
        Journal of Physics A: Mathematical and Theoretical, Nov. 2010, Peer-reviewed
      • Zero-temperature complex replica zeros of the ±J Ising spin glass on mean-field systems and beyond
        Tomoyuki Obuchi; Yoshiyuki Kabashima; Hidetoshi Nishimori; Masayuki Ohzeki
        Physica E: Low-dimensional Systems and Nanostructures, Jan. 2011
      • Role of the finite replica analysis in the mean-field theory of spin glasses
        Tomoyuki Obuchi
        Mar. 2010, Peer-reviewed
      • Distribution of partition function zeros of the ± J model on the Bethe lattice
        Yoshiki Matsuda; Markus Müller; Hidetoshi Nishimori; Tomoyuki Obuchi; Antonello Scardicchio
        Journal of Physics A: Mathematical and Theoretical, 2010, Peer-reviewed
      • Weight space structure and analysis using a finite replica number in the Ising perceptron
        Tomoyuki Obuchi; Yoshiyuki Kabashima
        JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Dec. 2009, Peer-reviewed
      • Complex replica zeros of +/- J Ising spin glass at zero temperature
        Tomoyuki Obuchi; Yoshiyuki Kabashima; Hidetoshi Nishimori
        JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, Feb. 2009, Peer-reviewed
      • Phase diagram of the p-spin-interacting spin glass with ferromagnetic bias and a transverse field in the infinite-p limit
        Tomoyuki Obuchi; Hidetoshi Nishimori; David Sherrington
        JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, May 2007, Peer-reviewed

      Misc.

      • Statistical mechanical analysis of hierarchical random code ensemble in signal processing
        TAKEDA Koujin; OBUCHI Tomoyuki; TAKAHASHI Kazutaka
        IEICE technical report, 28 Oct. 2010
      • 21aGU-8 Monte-Carlo simulation of the anti-ferromagnetic XY model on a triangular lattice : Chiral/Spin transitions and their universality classes
        Obuchi Tomoyuki; Kawamura Hikaru
        Meeting abstracts of the Physical Society of Japan, 24 Aug. 2011
      • 25pTE-14 Spin and chiral transitions of the anti-ferromagnetic XY model on a triangular lattice and their universality classes
        Obuchi Tomoyuki; Kawamura Hikaru
        Meeting abstracts of the Physical Society of Japan, 03 Mar. 2011
      • 25pTD-5 Performance of a hierarchical random code and the replica symmetry breaking
        Obuchi Tomoyuki; Takeda Koujin; Takahashi Kazutaka
        Meeting abstracts of the Physical Society of Japan, 18 Aug. 2010
      • 23pTH-2 Replica symmetry breaking and complexity in hierarchical random energy model
        Takahashi Kazutaka; Obuchi Tomoyuki; Takeda Koujin
        Meeting abstracts of the Physical Society of Japan, 18 Aug. 2010
      • 25aQL-4 Finite Replica Analysis of Simple Perceptron and Complexity
        Obuchi Tomoyuki; Kabashima Yoshiyuki
        Meeting abstracts of the Physical Society of Japan, 18 Aug. 2009
      • 22aTJ-2 Zeros of nth moment of the distribution function on complex replica plane
        Obuchi Tomoyuki; Nishimori Hidetoshi
        Meeting abstracts of the Physical Society of Japan, 21 Aug. 2007
      • 23aXD-4 Phase diagram of the random energy model in a transverse field
        Obuchi Tomoyuki; Nishimori Hidetoshi
        Meeting abstracts of the Physical Society of Japan, 18 Aug. 2006
      • 27aTJ-4 Lee-Yang zeros of the ±J model of spin glasses on the Bethe lattice
        Matsuda Y.; Nishimori H.; Obuchi T.; Scardicchio Antonello
        Meeting abstracts of the Physical Society of Japan, 03 Mar. 2009
      • 18pWA-10 Phase diagram of the SK model in a transverse field at zero temperature
        Obuchi Tomoyuki; Nishimori Hidetoshi
        Meeting abstracts of the Physical Society of Japan, 28 Feb. 2007
      • Relative species abundance of replicator dynamics with sparse interactions
        Tokita Kei; Kabashima Yoshiyuki; Obuchi Tomoyuki
        Journal of Statistical Mechanics: Theory and Experiment, 16 Nov. 2016
      • International Meeting on "high-Dimensional Data-Driven Science" (HD3-2017)
        Masayuki Ohzeki; Teppei Ikeya; Tatsu Kuwatani; Yoshinori Nakanishi-Ohno; Masamichi J. Miyama; Tomoyuki Obuchi
        Journal of Physics: Conference Series, 27 Jun. 2018
      • 24aBL-5 Rate-distortion relation of lossy data compression using overcomplete basis
        Nakanishi-Ohno Y.; Obuchi T.; Okada M.; Kabashima Y.
        Meeting Abstracts of the Physical Society of Japan, 24 Mar. 2015
      • 過完備基底圧縮の統計力学的解析
        中西(大野)義典; 小渕智之; 岡田真人; 樺島祥介
        情報理論とその応用シンポジウム予稿集(CD-ROM), 02 Dec. 2014
      • 過完備基底を用いた歪有圧縮の統計力学的解析
        中西(大野)義典; 小渕智之; 岡田真人; 樺島祥介
        電子情報通信学会技術研究報告, 10 Nov. 2014
      • 7pAR-9 Performance evaluation of overcomplete basis compression by the replica method
        Nakanishi-Ohno Yoshinori; Obuchi Tomoyuki; Okada Masato; Kabashima Yoshiyuki
        Meeting abstracts of the Physical Society of Japan, 22 Aug. 2014
      • 19aAD-9 Replicator equations with (p+r)-body species interactions
        Oura Takeshi; Obuchi Tomoyuki; Tokita Kei
        Meeting abstracts of the Physical Society of Japan, 24 Aug. 2012
      • 25pAG-9 Equilibrium Monte-Carlo Approch to Ordering of Three-Dimensional XY Spin Glasses
        Obuchi Tomoyuki; Kawamura Hikaru
        Meeting abstracts of the Physical Society of Japan, 05 Mar. 2012
      • 20aVC-10 Relation between complex replica zeros and some kinds of phase transitions
        Obuchi Tomoyuki; Nishimori Hidetoshi; Kabashima Yoshiyuki
        Meeting abstracts of the Physical Society of Japan, 25 Aug. 2008
      • 26pWF-8 Zeros of the replicated partition function on the complex replica plane : in the presence of the RSB
        Obuchi Tomoyuki; Nishimori Hidetoshi; Kabashima Yoshiyuki
        Meeting abstracts of the Physical Society of Japan, 29 Feb. 2008

      External funds: Kakenhi

      • Physics of Glass and Jamming Transitions Captured by Spins: from Soft Matter Physics to Statistical Physics of Information Processing
        Grant-in-Aid for Scientific Research (B)
        Basic Section 13010:Mathematical physics and fundamental theory of condensed matter physics-related
        Osaka University
        Hajime Yoshino
        From 01 Apr. 2019, To 31 Mar. 2022, Project Closed
        ガラス転移;ジャミング;フラストレート磁性;コロイド;制約充足問題;統計的推定;ニューラルネットワーク;ヤーンテラー効果;スピングラス;深層ニューラルネットワーク;ジャミング転移;フラストレートスピン系;ソフトマター;情報統計力学;機械学習
      • Statistical mechanics and sparse modeling approach to large-scale inverse problems
        Grant-in-Aid for Scientific Research (C)
        Basic Section 61040:Soft computing-related
        Kyoto University;Tokyo Institute of Technology
        Tomoyuki Obuchi
        From 01 Apr. 2018, To 31 Mar. 2022, Project Closed
        情報統計力学;スパースモデリング;統計的逆問題;機械学習;近似推論
      • 半解析リサンプリング法の開発と整備:信頼性評価への統計力学的アプローチ
        Grant-in-Aid for Scientific Research (A)
        The University of Tokyo;Tokyo Institute of Technology
        樺島 祥介
        From 01 Apr. 2017, To 31 Mar. 2022, Granted
        リサンプリング;交差検証法;ブートストラップ;レプリカ法;平均場近似;ブートストラップ法;確率伝搬法;期待値伝搬法;ランダム行列
      • A comprehensive study of learning, inference, and inverse problems based on the spin-glass theory
        Grant-in-Aid for Young Scientists (B)
        Tokyo Institute of Technology
        Tomoyuki Obuchi
        From 01 Apr. 2014, To 31 Mar. 2017, Project Closed
        逆問題・多自由度推定;統計的学習理論・機械学習;統計物理学;最大エントロピー法;スパースモデリング;逆問題;機械学習;ニューラルネットワーク;ベイズ統計
      • Statistical mechanics approach to massive sparse modeling
        Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
        Complex systems
        Tokyo Institute of Technology
        Yoshiyuki KABASHIMA
        From 28 Jun. 2013, To 31 Mar. 2018, Project Closed
        圧縮センシング;潜在変数モデリング;モデル選択;レプリカ法;平均場近似;特異モデル;統計力学;情報量基準;交差検証法;行列分解
      • スピングラス理論に基づいた逆問題の統計力学的研究
        Grant-in-Aid for Young Scientists (B)
        Osaka University
        小渕 智之
        From 01 Apr. 2012, To 31 Mar. 2013, Declined
      • Evolution of data science theory through analysis of solvable models
        Grant-in-Aid for Scientific Research (C)
        Basic Section 61040:Soft computing-related
        Kyoto University
        小渕 智之
        From 01 Apr. 2022, To 31 Mar. 2026, Granted
        機械学習;データ科学;情報統計力学;可解モデル
      • Statistical mechanics approach to high-dimensional machine learning
        Grant-in-Aid for Transformative Research Areas (A)
        Transformative Research Areas, Section (II)
        The University of Tokyo
        樺島 祥介
        From 16 Jun. 2022, To 31 Mar. 2027, Granted
        レプリカ法;キャビティ法;深層学習;アルゴリズム開発;性能分析

      External funds: others

      • 統計力学的アプローチによる、大規模スパースモデリングの理論と技術の強化
        住友財団, 基礎科学研究助成
        From 16 Nov. 2017, To 30 Nov. 2018
        小渕トモユキ
      list
        Last Updated :2023/09/22

        Education

        Teaching subject(s)

        • From 01 Apr. 2023, To 31 Mar. 2024
          Mathematical theory of information and communications
          9142, Fall, Faculty of Engineering, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Information-theoretic systems thory
          3555, Spring, Graduate School of Informatics, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Systems Science, Advanced I
          3542, Spring, Graduate School of Informatics, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Systems Science, Advanced II
          3512, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Systems Science, Advanced II
          3512, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Information-theoretic systems thory
          3555, Spring, Graduate School of Informatics, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Mathematical theory of information and communications
          9142, Fall, Faculty of Engineering, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Systems Science, Advanced I
          3542, Spring, Graduate School of Informatics, 2
        • From Apr. 2020, To Mar. 2021
          Mathematical theory of information and communications
          Fall, 工学部
        • From Apr. 2020, To Mar. 2021
          Introduction to Systems Analysis
          Fall, 工学部
        • From Apr. 2020, To Mar. 2021
          Adaptive Systems Theory
          Spring, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          ILAS Seminar :Starting statistical mechanics from scratch
          Spring, 全学共通科目
        • From Apr. 2021, To Mar. 2022
          Mathematical theory of information and communications
          Fall, 工学部
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Introduction to Systems Analysis
          Fall, 工学部
        • From Apr. 2021, To Mar. 2022
          Adaptive Systems Theory
          Spring, 情報学研究科
        list
          Last Updated :2023/09/22

          Administration

          Faculty management (title, position)

          • From 01 Apr. 2020, To 31 Mar. 2022
            評価WG
          list
            Last Updated :2023/09/22

            Academic, Social Contribution

            Committee Memberships

            • From Oct. 2017, To Sep. 2018
              領域11運営委員, 日本物理学会

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