Basic Information

Faculty

• 工学部

Professional Memberships

• From 2024, To Present

  The Institute of Systems, Control and Information Engineers
• From 2022, To Present

  Japan Society for Industrial and Applied Mathematics
• From 2013, To Present

  The Operations Research Society of Japan
• From 2013, To Present

  Mathematical Optimization Society
• From 2005, To Present

  Society for Industrial and Applied Mathematics

Academic Degree

• Master in Computer Science(University of Sao Paulo)
• Ph.D. in Applied Mathematics(University of Sao Paulo)

Research History

• From Apr. 2019, To Present

  Kyoto University, Graduate School of Informatics, Associate professor
• From Oct. 2013, To Mar. 2019

  Kyoto University, Graduate School of Informatics, Assistant professor
• From Aug. 2011, To Sep. 2013

  Kyoto University, Graduate School of Informatics, Visiting Researcher
• From Mar. 2011, To Sep. 2013

  University of Campinas, Postdoctoral Researcher

Language of Instruction

• Portuguese
• Spanish, Castilian
• Japanese
• English

ID,URL

• J-Global ID

  201401076242926948

• External link

  http://www-optima.amp.i.kyoto-u.ac.jp/~ellen

Website(s) (URL(s))

• http://www-optima.amp.i.kyoto-u.ac.jp/~ellen

researchmap URL

• https://researchmap.jp/7000009487

Research

Research Topics, Overview of the research

• Research Topics

  Theory and applications in Mathematical Optimization

Research Interests

• Mathematical Programming
• Optimization
• Operations Research
• Continuous Optimization

Research Areas

• Natural sciences, Applied mathematics and statistics
• Informatics, Mathematical informatics

Papers

• Efficient first-order optimization on the Pareto set for multi-objective learning under preference guidance

  Lisha Chen; Quan Xiao; Ellen H. Fukuda; Xinyi Chen; Kun Yuan; Tianyi Chen

  Proc. of International Conference on Machine Learning (ICML), May 2025, Peer-reviewed

  
• A strong second-order sequential optimality condition for nonlinear programming problems

  Huimin Li; Yuya Yamakawa; Ellen H. Fukuda; Nobuo Yamashita

  Pacific Journal of Optimization, Apr. 2025, Peer-reviewed

  
• Adaptive generalized conditional gradient method for multiobjective optimization

  Anteneh G. Gebrie; Ellen H. Fukuda

  Journal of Optimization Theory and Applications, Apr. 2025, Peer-reviewed

  
• A second-order sequential optimality condition for nonlinear second-order cone programming problems

  Ellen H. Fukuda; Kosuke Okabe

  Computational Optimization and Applications, 23 Jan. 2025, Peer-reviewed

  
• Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds with retraction and vector transport

  Kangming Chen; Ellen H. Fukuda; Hiroyuki Sato

  Applied Mathematics and Computation, Feb. 2025, Peer-reviewed

  
• A method for multi-leader–multi-follower games by smoothing the followers’ response function

  Atsushi Hori; Daisuke Tsuyuguchi; Ellen H. Fukuda

  Journal of Optimization Theory and Applications, 02 Aug. 2024, Peer-reviewed

  
• A proximal gradient method with Bregman distance in multi-objective optimization

  Kangming Chen; Ellen H. Fukuda; Nobuo Yamashita

  Pacific Journal of Optimization, Feb. 2024, Peer-reviewed

  
• Optimality conditions for nonlinear second-order cone programming and symmetric cone programming

  Roberto Andreani; Ellen H. Fukuda; Gabriel Haeser; Daiana O. Santos; Leonardo D. Secchin

  Journal of Optimization Theory and Applications, 07 Dec. 2023, Peer-reviewed

  
• An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs

  Yuya Yamakawa; Tetsuya Ikegami; Ellen H. Fukuda; Nobuo Yamashita

  Optimization Methods and Software, 10 Jul. 2023, Peer-reviewed

  
• New merit functions for multiobjective optimization and their properties

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Optimization, 06 Jan. 2024, Peer-reviewed

  
• Monotonicity for multiobjective accelerated proximal gradient methods

  Yuki Nishimura; Ellen H. Fukuda; Nobuo Yamashita

  Journal of the Operations Research Society of Japan, 20 Jun. 2023, Peer-reviewed

  
• An accelerated proximal gradient method for multiobjective optimization

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Computational Optimization and Applications, 09 Jun. 2023, Peer-reviewed

  
• Deep reinforcement learning-aided optimization of multi-interface allocation for short-packet communications

  Hugo De Oliveira; Megumi Kaneko; Lila Boukhatem; Ellen Hidemi Fukuda

  IEEE Transactions on Cognitive Communications and Networking, Mar. 2023, Peer-reviewed

  
• A revised sequential quadratic semidefinite programming method for nonlinear semidefinite optimization

  Kosuke Okabe; Yuya Yamakawa; Ellen H. Fukuda

  Journal of Industrial and Management Optimization, Oct. 2023, Peer-reviewed

  
• On the weak second-order optimality condition for nonlinear semidefinite and second-order cone programming

  Ellen H. Fukuda; Leonardo M. Mito; Gabriel Haeser

  Set-Valued and Variational Analysis, Apr. 2023, Peer-reviewed

  
• On the use of Jordan Algebras for improving global convergence of an Augmented Lagrangian method in nonlinear semidefinite programming

  Roberto Andreani; Ellen H. Fukuda; Gabriel Haeser; Daiana O. Santos; Leonardo D. Secchin

  Computational Optimization and Applications, Jul. 2021, Peer-reviewed

  
• A conjugate directions-type procedure for quadratic multiobjective optimization

  Ellen H. Fukuda; L. M. Graña Drummond; Ariane M. Masuda

  Optimization, Feb. 2022, Peer-reviewed

  
• Erratum to: New Constraint Qualifications and Optimality Conditions for Second Order Cone Programs

  Roberto Andreani; Ellen H. Fukuda; Gabriel Haeser; Hector Ramírez; Daiana O. Santos; Paulo J. S. Silva; Thiago P. Silveira

  Set-Valued and Variational Analysis, Mar. 2022, Peer-reviewed

  
• Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks With Outdated Channel Knowledge

  Thi Ha Ly Dinh; Megumi Kaneko; Ellen Hidemi Fukuda; Lila Boukhatem

  IEEE Transactions on Green Communications and Networking, Mar. 2021, Peer-reviewed

  
• Joint Allocation Strategies of Power and Spreading Factors With Imperfect Orthogonality in LoRa Networks

  Licia Amichi; Megumi Kaneko; Ellen Hidemi Fukuda; Nancy El Rachkidy; Alexandre Guitton

  IEEE Transactions on Communications, Jun. 2020, Peer-reviewed

  
• Nonmonotone line searches for unconstrained multiobjective optimization problems

  Kanako Mita; Ellen H. Fukuda; Nobuo Yamashita

  Journal of Global Optimization, Sep. 2019, Peer-reviewed

  
• Proximal gradient methods for multiobjective optimization and their applications

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Computational Optimization and Applications, Mar. 2019, Peer-reviewed

  
• A survey on second-order conditions for nonlinear symmetric cone programming via squared slack variables

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  RIMS Kôkyûroku, Jan. 2019

  
• A barrier-type method for multiobjective optimization

  Ellen H. Fukuda; L.M. Graña Drummond; Fernanda M.P. Raupp

  Optimization, Jan. 2020, Peer-reviewed

  
• Descent methods for multiobjective optimization: extending single-objective optimization methods

  Ellen Hidemi Fukuda

  Systems, Control and Information, Sep. 2018, Invited

  
• Exact augmented Lagrangian functions for nonlinear semidefinite programming

  Ellen H. Fukuda; Bruno F. Lourenço

  Computational Optimization and Applications, 20 Jun. 2018, Peer-reviewed

  
• Optimality conditions for problems over symmetric cones and a simple augmented Lagrangian method

  Bruno F. Lourenço; Ellen H. Fukuda; Masao Fukushima

  Mathematics of Operations Research, Jun. 2018, Peer-reviewed

  
• Multiobjective optimization: basis of descent methods

  Ellen H. Fukuda

  Operations Research Society of Japan, Mar. 2018, Invited

  
• Optimality conditions for nonlinear semidefinite programming via squared slack variables

  Bruno F. Lourenço; Ellen H. Fukuda; Masao Fukushima

  Mathematical Programming, 01 Mar. 2018, Peer-reviewed

  
• Descent methods in multiobjective optimization (Survey)

  Ellen H. Fukuda

  Proceedings of the 29th RAMP Symposium, Oct. 2017, Invited

  
• A note on the squared slack variables technique for nonlinear optimization

  Ellen H. Fukuda; Masao Fukushima

  Journal of the Operations Research Society of Japan, 01 Jul. 2017, Peer-reviewed

  
• A new DC method for BMI-constrained optimization

  Ichiro Isonishi; Ellen H. Fukuda; Nobuo Yamashita

  Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers, May 2017

  
• On using nonmonotone line search techniques in steepest descent methods for multiobjective optimization

  Kanako Mita; Ellen H. Fukuda; Nobuo Yamashita

  Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers, May 2017

  
• Constructing a continuously differentiable exact augmented Lagrangian function for nonlinear semidefinite programming

  Ellen H. Fukuda; Bruno F. Lourenço

  RIMS Kôkyûroku, Apr. 2017

  
• The Use of Squared Slack Variables in Nonlinear Second-Order Cone Programming

  Ellen H. Fukuda; Masao Fukushima

  Journal of Optimization Theory and Applications, Aug. 2016, Peer-reviewed

  
• An external penalty-type method for multicriteria

  Ellen H. Fukuda; L. M. Graña Drummond; Fernanda M.P. Raupp

  TOP, Jul. 2016, Peer-reviewed

  
• Reformulating multi-leader-follower games with smoothing method

  Daisuke Tsuyuguchi; Ellen H. Fukuda; Ming Hu; Masao Fukushima

  RIMS Kôkyûroku, Jan. 2016

  
• A note on nonlinear semidefinite programming and the squared slack variables technique

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  RIMS Kôkyûroku, Jan. 2016

  
• Second-order cone programs and squared slack variables

  Ellen H. Fukuda; Masao Fukushima

  The Operations Research Society of Japan, Dec. 2014, Invited

  
• A survey on multiobjective descent methods

  Ellen H. Fukuda; Luis Mauricio Graña Drummond

  Pesquisa Operacional, 01 Sep. 2014, Peer-reviewed, Invited

  
• Inexact projected gradient method for vector optimization

  Ellen H. Fukuda; L.M. Graña Drummond

  Computational Optimization and Applications, Apr. 2013, Peer-reviewed

  
• A Gauss-Newton Approach for Solving Constrained Optimization Problems Using Differentiable Exact Penalties

  Roberto Andreani; Ellen H. Fukuda; Paulo J. S. Silva

  JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, Feb. 2013, Peer-reviewed

  
• DIFFERENTIABLE EXACT PENALTY FUNCTIONS FOR NONLINEAR SECOND-ORDER CONE PROGRAMS

  Ellen H. Fukuda; Paulo J. S. Silva; Masao Fukushima

  SIAM JOURNAL ON OPTIMIZATION, 2012, Peer-reviewed

  
• On the convergence of the projected gradient method for vector optimization

  Ellen H. Fukuda; L. M. Graña Drummond

  Optimization, 2011, Peer-reviewed

  
• Convergence rates analysis of a multiobjective proximal gradient method

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Optimization Letters, 24 Apr. 2022, Peer-reviewed

  

Misc.

• Riemannian conditional gradient methods for composite optimization problems

  Kangming Chen; Ellen H. Fukuda

  Submitted, Dec. 2024, Peer-reviewed

  
• Convergence analysis and acceleration of smoothing methods for solving extensive-form games

  Keigo Habara; Ellen H. Fukuda; Nobuo Yamashita

  arXiv, Mar. 2023, Peer-reviewed

  
• A globally convergent fast iterative shrinkage-thresholding algorithm with a new momentum factor for single and multi-objective convex optimization

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  arXiv, May 2022, Peer-reviewed

  

Presentations

• Recent results in vector optimization: applications and methods

  Ellen H. Fukuda

  2025 Taiwan-Japan Joint Workshop on Nonlinear Analysis and Optimization, 27 Jun. 2025, Invited

  
• Limitations of multiobjective optimization in discrete settings and an approach with M-convexity

  Ellen H. Fukuda; Satoru Iwata; Itsuki Nakagawa

  Seventh Conference on Discrete Optimization and Machine Learning, 14 May 2025, Invited

  
• Bi-objective optimization with M-convex functions

  Ellen H. Fukuda; Satoru Iwata; Itsuki Nakagawa

  Optimization: Modeling and Algorithms, 17 Mar. 2025

  
• Proximal gradient method for multi-objective optimization with Bregman distance

  Kangming Chen; Ellen H. Fukuda; Nobuo Yamashita

  Optimization: Modeling and Algorithms, 17 Mar. 2025

  
• Hessian-free method for large-scale multi-leader-follower games

  Atsushi Hori; Takayuki Okuno; Ellen H. Fukuda

  Operations Research Society of Japan - 2025 Spring Conference, 07 Mar. 2025

  
• Strong second-order approximate KKT conditions for nonlinear optimization problems

  Huimin Li; Yuya Yamakawa; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2025 Spring Conference, 06 Mar. 2025

  
• New developments in sequential optimality conditions and multiobjective descent methods

  Ellen H. Fukuda

  Operations Research Society of Japan - 2025 Spring Conference, 07 Mar. 2025, Invited

  
• An efficient method for worst-case CVaR optimization problem

  Koudai Yamamoto; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - Kansai Region Young Researchers Meeting 2024, 20 Nov. 2024

  
• Line search methods using filter for multiobjective optimization

  Koshin Matsuoka; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - Kansai Region Young Researchers Meeting 2024, 20 Nov. 2024

  
• Squared slack variables for nonlinear symmetric conic programming problems

  Bruno F. Lourenco; Ellen H. Fukuda; Masao Fukushima

  Operations Research Society of Japan - 2018 Fall Conference, 06 Sep. 2018

  
• A barrier-type method for multicriteria

  Luis M. Graña Drummond; Ellen H. Fukuda; Fernanda M. P. Raupp

  13th International Seminar on Optimization and Related Areas, 10 Oct. 2017

  
• New DC method for nonlinear conic programming and its convergence

  Ichiro Isonishi; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2017 Fall Conference, 15 Sep. 2017

  
• Descent methods for multiobjective optimization with nonmonotone line search and their global convergence

  Kanako Mita; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2017 Fall Conference, 15 Sep. 2017

  
• A new DC method for BMI constrained optimization problems

  Ichiro Isonishi; Ellen H. Fukuda; Nobuo Yamashita

  61st Annual Conference of the Institute of Systems, Control and Information Engineers, 23 May 2017

  
• Descent methods for multiobjective optimization with nonmonotone line search

  Kanako Mita; Ellen H. Fukuda; Nobuo Yamashita

  61st Annual Conference of the Institute of Systems, Control and Information Engineers, 23 May 2017

  
• Exact augmented Lagrangian functions for nonlinear second-order programming problems

  Akiko Kobayashi; Ellen H. Fukuda

  Operations Research Society of Japan - Kansai Region Young Researchers Meeting 2016, 29 Oct. 2016

  
• Stabilized sequential quadratic programming for nonlinear SOCP and its superlinear convergence

  Takuya Iizuka; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2016 Fall Conference, 16 Sep. 2016

  
• Exact augmented Lagrangian functions for nonlinear second-order programming problems

  Akiko Kobayashi; Ellen H. Fukuda

  Operations Research Society of Japan - 2016 Fall Conference, 15 Sep. 2016

  
• A smoothing method for multi-leader-follower games

  Daisuke Tsuyuguchi; Ellen H. Fukuda; Ming Hu; Masao Fukushima

  Operations Research Society of Japan - 2015 Fall Conference, 10 Sep. 2015

  
• Reformulating multi-leader-follower games as smooth Nash equilibrium problems

  Daisuke Tsuyuguchi; Ellen H. Fukuda; Ming Hu; Masao Fukushima

  RIMS Workshop: Optimization for New Generations - Modeling and Computation, 01 Sep. 2015

  
• Squared slack variables in nonlinear second-order cone programming

  Masao Fukushima; Ellen H. Fukuda

  International Conference on Variational Analysis, Optimization and Quantitative Finance (Terry Fest), 19 May 2015, Invited

  
• An external penalty method for multicriteria

  Luis M. Graña Drummond; Ellen H. Fukuda; Fernanda M. P. Raupp

  X Brazilian Workshop on Continuous Optimization, 18 Mar. 2014

  
• Riemannian generalized conditional gradient methods

  Kangming Chen; Ellen H. Fukuda

  Japan Society for Industrial and Applied Mathematics - 2024 Annual Meeting, 15 Sep. 2024

  
• Line search methods using filter for multiobjective optimization

  Koshin Matsuoka; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2024 Fall Conference, 10 Sep. 2024

  
• On second-order sequential optimality conditions for nonlinear semidefinite optimization

  Huimin Li; Yuya Yamakawa; Ellen H. Fukuda

  Operations Research Society of Japan - 2024 Fall Conference, 10 Sep. 2024

  
• Generalized conditional gradient method with three step size strategies on Riemannian manifolds

  Kangming Chen; Ellen H. Fukuda

  Operations Research Society of Japan - 2024 Fall Conference, 10 Sep. 2024

  
• On second-order sequential optimality conditions for nonlinear programming problems

  李 慧民; 山川 雄也; 福田 エレン 秀美

  RIMS Workshop: Advances in Mathematical Optimization and Its Surroundings, 27 Aug. 2024

  
• Riemannian conditional gradient methods for composite optimization problems

  Kangming Chen; Ellen H. Fukuda

  17th SIAM East Asian Section Conference, 30 Jun. 2024

  
• A strong second-order optimality condition for nonlinear semidefinite optimization

  Huimin Li; Yuya Yamakawa; Ellen H. Fukuda

  17th SIAM East Asian Section Conference, 30 Jun. 2024

  
• A strong second-order optimality condition for nonlinear semidefinite optimization

  李 慧民; 山川 雄也; 福田 エレン 秀美

  日本オペレーションズ・リサーチ学会2024年春季研究発表会, 07 Mar. 2024

  
• Multiobjective proximal gradient methods on Riemannian manifolds

  陳 康明; 佐藤 寛之; 福田 エレン 秀美

  20th Japan Society for Industrial and Applied Mathematics - Joint Meeting, 04 Mar. 2024

  
• Applying vector optimization in experiment design

  Ken Ito,Ellen; H. Fukuda

  Operations Research Society of Japan - Kansai Region Young Researchers Meeting 2023, 23 Nov. 2023

  
• An improvement on descent methods for robust multiobjective optimization

  Yuki Kawabata; Ellen H. Fukuda; Yuya Yamakawa

  Operations Research Society of Japan - Kansai Region Young Researchers Meeting 2023, 23 Nov. 2023

  
• On bilevel optimization problems with multiobjective lower-level problems

  Chihaya Ogawa; Ellen H. Fukuda

  Operations Research Society of Japan - Kansai Region Young Researchers Meeting 2023, 23 Nov. 2023

  
• Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds

  Kangming Chen; Hiroyuki Sato; Ellen H. Fukuda

  Operations Research Society of Japan - 2023 Fall Conference, 15 Sep. 2023

  
• A method that smooth the followers' response functions for multi-leader multi-follower games

  Atsushi Hori; Daisuke Tsuyuguchi; Ellen H. Fukuda

  Operations Research Society of Japan - 2023 Fall Conference, 14 Sep. 2023

  
• Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds

  陳 康明; 佐藤 寛之; 福田 エレン 秀美

  RIMS Symposium: Theory and Practice of Mathematical Optimization, 29 Aug. 2023

  
• Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds

  Kangming Chen; Hiroyuki Sato; Ellen H. Fukuda

  10th International Congress on Industrial and Applied Mathematics, 23 Aug. 2023, Invited

  
• Improving multiobjective accelerated proximal gradient methods

  Yuki Nishimura; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2023 Spring Conference, 07 Mar. 2023

  
• A proximal gradient method with Bregman distance in multi-objective optimization

  Kangming Chen; Ellen H. Fukuda; Nobuo Yamashita

  International Workshop on Continuous Optimization, 04 Dec. 2022

  
• Improving the sequential quadratic semidefinite programming for nonlinear semidefinite optimization

  Kosuke Okabe; Yuya Yamakawa; Ellen H. Fukuda

  Operations Research Society of Japan - Seminars on Optimization Methods and Algorithms, 12 Jun. 2022

  
• Generalized step size and convergence of iterates in multiobjective accelerated proximal gradient methods

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2022 Spring Conference, 18 Mar. 2022

  
• Vector-valued SVM and its numerical methods

  Keigo Habara; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - SSOR2021 Kansai Region, 17 Oct. 2021

  
• Improving the sequential quadratic semidefinite programming for nonlinear semidefinite optimization

  Kosuke Okabe; Yuya Yamakawa; Ellen H. Fukuda

  Operations Research Society of Japan - SSOR2021 Kansai Region, 16 Oct. 2021

  
• An accelerated proximal gradient method for multiobjective optimization

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  13th SIAM Conference on Optimization, 23 Jul. 2021

  
• Accelerated proximal gradient method for multiobjective optimization problems

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2021 Spring Conference, 02 Mar. 2021

  
• New merit functions for multi-objective optimization problems

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  15th Kyoto University ICT Inovation, 17 Feb. 2021

  
• Various merit functions and merit functions with regularized L1 term for multiobjective optimization problems with efficient numerical methods

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2020 Spring Conference, 13 Mar. 2020

  
• A new method for multiobjective optimization problems: multiobjective proximal gradient method

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  14th Kyoto University ICT Inovation, 19 Feb. 2020

  
• Multiobjective proximal gradient methods and application to robust multiobjective optimization

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  17th Workshop on Advances in Continuous Optimization (EUROPT 2019), 28 Jun. 2019, Invited

  
• Merit functions for nonlinear multiobjective optimization and convergence rates analysis of proximal gradient methods

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  30th European Conference on Operational Research, 25 Jun. 2019, Invited

  
• Merit functions for nonlinear multiobjective optimization and their analyses

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - 2019 Spring Conference, 14 Mar. 2019

  
• Modified DC method for nonlinear conic programming problems and its convergence

  Ichiro Isonishi; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - SSOR2018 Kansai Region, 04 Nov. 2018

  
• Proximal gradient methods for multiobjective optimization and its convergence rate

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - SSOR2018 Kansai Region, 03 Nov. 2018

  
• A new nonmonotone line search for multiobjective optimization problems

  Kanako Mita; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - SSOR2018 Kansai Region, 02 Nov. 2018

  
• A proximal gradient method for multiobjective optimization and application to robust multiobjective optimization

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  SICE Annual Conference 2018, 14 Sep. 2018

  
• Proximal gradient methods for multiobjective optimization and their applications

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Operations Research Society of Japan - Optimization and its Applications (OPTA), 09 Jun. 2018

  
• Proximal gradient methods for multiobjective optimization and their applications

  Hiroki Tanabe; Ellen H. Fukuda; Nobuo Yamashita

  Optimization: Modeling and Algorithms, 29 Mar. 2018

  
• On sequential optimality conditions for second-order cone optimization

  Ellen H. Fukuda; Kosuke Okabe

  RIMS Workshop: Advances in Mathematical Optimization and Its Surroundings, 27 Aug. 2024

  
• Approximate Karush-Kuhn-Tucker 2 conditions for nonlinear second-order cone optimization

  Ellen H. Fukuda; Kosuke Okabe

  25th International Symposium on Mathematical Programming, 22 Jul. 2024

  
• Recent trends in descent methods for multiobjective optimization problems

  Ellen H. Fukuda

  The Third Pacific Optimisation Conference, 11 Dec. 2023, Invited

  
• Recent developments on multiobjective fast iterative shrinkage-thresholding algorithms

  Ellen H. Fukuda

  10th International Congress on Industrial and Applied Mathematics, 21 Aug. 2023, Invited

  
• New momentum factor for FISTA and its convergence properties

  Ellen H. Fukuda; Hiroki Tanabe; Nobuo Yamashita

  19th Japan Society for Industrial and Applied Mathematics - Joint Meeting, 10 Mar. 2023

  
• A new uncertainty model for positive-valued parameters with applications

  Ellen H. Fukuda; Tatsuya Tanaka; Nobuo Yamashita

  22nd Conference of the International Federation of Operational Research Societies, 24 Aug. 2021, IFORS, Invited

  
• Sequential optimality conditions: extensions for nonlinear semidefinite and nonlinear second-order cone programming problems

  Ellen H. Fukuda; Roberto Andreani; Gabriel Haeser; Daiana O. Santos; Leonardo D. Secchin

  RIMS Workshop: Theory, Algorithms and Applications of Mathematical Optimization, 24 Aug. 2020

  
• A hybrid-type nonmonotone line search for multiobjective optimization

  Ellen H. Fukuda; Mita Kanako; Nobuo Yamashita

  International Conference on Optimization: Techniques and Applications 2019, 29 Aug. 2019, Invited

  
• On using nonmonotone line searches in multiobjective descent methods

  Ellen H. Fukuda; Mita Kanako; Nobuo Yamashita

  30th European Conference on Operational Research, 25 Jun. 2019, Invited

  
• A new DC method for nonlinear conic optimization with applications to problems with BMI constraints

  Ellen H. Fukuda; Ichiro Isonishi; Nobuo Yamashita

  International Workshop on Control and Optimization, 07 Nov. 2018, Invited

  
• Second-order conditions for nonlinear symmetric conic programming problems

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  RIMS Workshop: New Trends of Numerical Optimization in Advanced Information-Oriented Society, 07 Aug. 2018

  
• Nonlinear symmetric cone problems: optimality conditions and an augmented Lagrangian method

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  XII Brazilian Workshop on Continuous Optimization, 24 Jul. 2018

  
• Solving nonlinear conic programming problems with a new DC approach

  Ellen H. Fukuda; Ichiro Isonishi; Nobuo Yamashita

  23rd International Symposium on Mathematical Programming, 04 Jul. 2018

  
• Descent methods for multiobjective optimization

  Ellen H. Fukuda

  The 29th RAMP Symposium, 13 Oct. 2017, Operations Research Society of Japan, Invited

  
• On the construction of exact augmented Lagrangian functions for nonlinear semidefinite optimization

  Ellen H. Fukuda; Bruno F. Lourenço

  12th SIAM Conference on Optimization, 24 May 2017, Invited

  
• Constructing exact augmented Lagrangian functions for nonlinear semidefinite programming problems

  Ellen H. Fukuda; Bruno F. Lourenço

  RIMS Workshop: The State-of-the-Art Optimization Technique and Future Development, Kyoto, Japan, 26 Aug. 2016

  
• Second-order conditions for nonlinear semidefinite optimization problems via slack variables approach

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  The Fifth International Conference on Continuous Optimization, 08 Aug. 2016, Invited

  
• Exact penalty methods for optimization problems

  Ellen H. Fukuda

  Workshop on Optimization: Foundations and Frontiers, 19 Mar. 2016, Invited

  
• Research on nonlinear programming, nonlinear second-order cone programming and multiobjective optimization

  Ellen H. Fukuda

  Operations Research Society of Japan - 2016 Kansai Region Memorial Lecture, 05 Mar. 2016, Invited

  
• Reformulating nonlinear semidefinite programming problems with squared slack variables

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  Operations Research Society of Japan - 2015 Fall Conference, 11 Sep. 2015

  
• Nonlinear semidefinite programming problems and the squared slack variables technique

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  RIMS Workshop: Optimization for New Generations - Modeling and Computation, 01 Sep. 2015

  
• Studies on squared slack variables for nonlinear second-order cone and semidefinite programming

  Ellen H. Fukuda; Bruno F. Lourenço; Masao Fukushima

  22nd International Symposium on Mathematical Programming, 14 Jul. 2015

  
• On the use of squared slack variables in nonlinear programming and nonlinear second-order cone programming

  Ellen H. Fukuda; Masao Fukushima

  9th International Conference on Optimization: Techniques and Applications, 13 Dec. 2013

  
• Using squared slack in nonlinear second-order cone programming

  Ellen H. Fukuda; Masao Fukushima

  OR Meeting for Young Researchers, 07 Nov. 2013, Invited

  
• Slack variables in nonlinear second-order cone programming problems (RIMS)

  Ellen H. Fukuda; Masao Fukushima

  RIMS Workshop: Optimization - Theory and Applications, 30 Aug. 2013

  
• Slack variable in nonlinear second-order cone programming

  Ellen H. Fukuda; Masao Fukushima

  The Fourth International Conference on Continuous Optimization, Lisbon, Portugal, 30 Jul. 2013, Mathematical Optimization Society, Invited

  
• Slack variables in nonlinear second-order cone programming problems

  Ellen H. Fukuda; Masao Fukushima

  Optimization: Modeling and Algorithms, 11 Mar. 2013

  
• Solving nonlinear second-order cone programs via exact penalty functions

  Ellen H. Fukuda; Paulo J; S. Silva; Masao Fukushima

  5th International Conference on Optimization and Control with Applications, Beijing, China, 07 Dec. 2012, Invited

  
• Differentiable exact penalty functions for nonlinear second-order cone programs (ISMP)

  Ellen H. Fukuda; Paulo J; S. Silva; Masao Fukushima

  21st International Symposium on Mathematical Programming, Berlin, Germany, 21 Aug. 2012, Mathematical Optimization Society

  
• Differentiable exact penalty functions for nonlinear second-order cone programs (RIMS)

  Ellen H. Fukuda; Masao Fukushima

  RIMS Workshop: The bridge between theory and application in optimization method, Kyoto, Japan, 23 Jul. 2012

  
• Semismooth reformulation for nonlinear second-order cone programming

  Ellen H. Fukuda

  28th Brazilian Colloquium of Mathematics, Rio de Janeiro, Brazil, 26 Jul. 2011, Institute of Pure and Applied Mathematics, Invited

  
• A Gauss-Newton-type method for constrained optimization using exact penalties

  Ellen H. Fukuda; Roberto Andreani; Paulo J; S. Silva

  SIAM Conference on Optimization, Darmstadt, Germany, 19 May 2011, Society for Industrial and Applied Mathematics, Invited

  
• A Gauss-Newton approach for solving constrained optimization via exact penalty functions

  Ellen H. Fukuda; Roberto Andreani; Paulo J; S. Silva

  20th International Symposium on Mathematical Programming, Chicago, US, 28 Aug. 2009, Mathematical Optimization Society

  
• Inexact projected gradient method for vector optimization

  Ellen H. Fukuda; Luis M; Graña Drummond

  27th Brazilian Colloquium of Mathematics, Rio de Janeiro, Brazil, 28 Jul. 2009, Institute of Pure and Applied Mathematics, Invited

  
• A Gauss-Newton-type method for differentiable exact penalties

  Ellen H. Fukuda; Roberto Andreani; Paulo J; S. Silva

  VIII Brazilian Workshop on Continuous Optimization, Mambucaba, Brazil, 13 Jul. 2009

  
• Volume algorithm and nondifferentiable optimization

  Ellen H. Fukuda; Paulo J; S. Silva

  XXX National Congress of Computational and Applied Mathematics, Florianópolis, Brazil, 03 Sep. 2007, Brazilian Society of Computational and Applied Mathematics, Invited

  
• Solving linear integer programs by Lagrangian dual approach: subgradient methods and volume algorithm

  Ellen H. Fukuda; Paulo J; S. Silva

  XXIX National Congress of Computational and Applied Mathematics, Campinas, Brazil, 20 Sep. 2006, Brazilian Society of Computational and Applied Mathematics

  
• Information retrieval using computational linear algebra

  Ellen H. Fukuda; Paulo J; S. Silva

  13th International Symposium of Undergraduate Research, São Carlos, Brazil, 09 Nov. 2005, University of São Paulo

  
• Recent developments in multiobjective descent methods

  Ellen H. Fukuda

  66th Annual Conference of the Institute of Systems, Control and Information Engineers, 19 May 2022, Invited

  

Awards

• 2024

  Optimization Letters, Best Paper Award

  Convergence rates analysis of a multiobjective proximal gradient method, Official journal

  Hiroki Tanabe, Ellen H. Fukuda, Nobuo Yamashita
• 2024

  Operations Research Society of Japan, 14th Research Award

  Ellen H. Fukuda
• 2024

  Kyoto University, 16th Tachibana Award for Outstanding Women Researchers

  Ellen Hidemi Fukuda
• 2015

  Operations Research Society of Japan, 5th Research Encourage Award
• 2012

  University of São Paulo, Best Ph.D. Thesis 2011 in Applied Mathematics at University of São Paulo
• 2007

  Brazilian Society of Computational and Applied Mathematics, Odelar Leite Linhares Prize (best master thesis, Brazil)
• 2006

  ACM International Collegiate Programming Contest, 2nd place in XI ACM South American Programming Contest (São Paulo Regional)

Media Coverage

• Mathematical Optimization: Optimal Choices with Science

  Kyoto University "KyotoU Future Commons", Oct. 2024, Pr

  
• Research on Optimization in Brazil and Japan

  Kyoto University, Engineering PR, No.63, Apr. 2015, Pr

  

External funds: Kakenhi

• Energy and Radio Resource Efficiency Optimization for 6G Smart IoT Communications

  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))

  Medium-sized Section 60:Information science, computer engineering, and related fields

  National Institute of Informatics

  金子 めぐみ

  From 07 Oct. 2022, To 31 Mar. 2027, Granted

  Beyond 5G, 6G;IoT;無線通信;数理最適化;AI, 強化学習;省電力;6G;エネルギー利用効率;最適化

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22KK0156/
• Development of descent methods for multiobjective optimization and applications

  Grant-in-Aid for Scientific Research (C)

  Basic Section 60020:Mathematical informatics-related

  Kyoto University

  福田 秀美

  From 01 Apr. 2019, To 31 Mar. 2025, Granted

  多目的最適化;リスタートFISTA;ベクトル最適化;条件付き勾配法;マルチリーダ・フォロワーゲーム;サポートベクターマシン;加速付き近接勾配法;ロバスト最適化;共役勾配法;リーマン多様体上の最適化問題;2次の最適性条件;展開型ゲーム;FISTA;半正定値計画問題;逐次最適性条件;多目的最適化問題;最適性条件;非線形半正定値計画問題;近接勾配法;FRAN;非単調直線探索;メリット関数;降下法;連続最適化

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K11840/
• Evaluation of soil microbial communities and chemical properties in fruit orchards across all of Japan for the establishment of sustainable agriculture

  Grant-in-Aid for Scientific Research (C)

  Kyoto Prefectural University

  Andre Freire Cruz

  From 01 Apr. 2016, To 31 Mar. 2019, Project Closed

  土壌微生物;多様性;酵素活性;土壌微生物バイオマス;土壌化学;果樹園;Fruit;Soil;Microbial community;Soil Fertility;Enzyme activity;Microbial biomass;Amplicon analysis;Orchard;Microbiology;Metagenome;bioinformatic;Fertility;Bacteria;Fungi;Chemistry;Agriculture;Fruits

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16K07645/
• Methods and applications for nonlinear second-order cone and semidefinite programming problems

  Grant-in-Aid for Young Scientists (B)

  Kyoto University

  Hidemi Fukuda

  From 01 Apr. 2014, To 31 Mar. 2018, Project Closed

  非線形２次錐計画問題;非線形半正定値計画問題;錐計画問題;２乗スラック変数;ペナルティ法;錐最適化問題;半正定値計画問題;2乗スラック変数;正確な拡張ラグランジュ法;多目的最適化問題;2次錐計画問題;２次錐計画問題;スラック変数

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26730012/
• 実社会の多目的最適化問題に対する降下法とその発展

  Grant-in-Aid for Scientific Research (C)

  Basic Section 60020:Mathematical informatics-related

  Kyoto University

  福田 秀美

  From 01 Apr. 2025, To 31 Mar. 2029, Adopted

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25K15002/

External funds: others

• Robust nonlinear optimization for efficient resource utilization in future radio access networks with channel uncertainties

  共同研究公募型・国立情報学研究所

  From 01 Apr. 2019, To 31 Mar. 2020

  福田エレン秀美
• Theory, algorithms and applications in mathematical programming

  National Council for Scientific and Technological Development, Chamada CNPq Universal (Brazil)

  From 18 Feb. 2019, To 17 Feb. 2022

  Benar F. Svaiter
• Applications and development of descent methods for vector and multiobjective optimization

  京都大学教育研究振興財団：研究活動推進助成

  From 01 Apr. 2018, To 31 Mar. 2019

  福田エレン秀美
• Nonlinear conic optimization problems and applications in cloud radio access network

  共同研究公募型・国立情報学研究所

  From 01 Apr. 2018, To 31 Mar. 2019

  福田エレン秀美
• Methods and applications for second-order cone and semidefinite optimization problems

  京都大学若手研究者スタートアップ研究費

  From 01 Oct. 2013, To 31 Mar. 2014

  福田エレン秀美
• Exact penalties for nonlinear programming and second-order cone programming

  The State of São Paulo Research Foundation (Brazil), Postdoctoral fellowship

  From 01 Apr. 2011, To 30 Sep. 2013

  Ellen H. Fukuda
• Reformulations for nonlinear programming, second-order cone programming and semidefinite programming

  The State of São Paulo Research Foundation (Brazil), Research internships abroad

  From 01 Apr. 2012, To 31 Mar. 2013

  Ellen H. Fukuda
• Topics in differentiable exact penalties

  The State of São Paulo Research Foundation (Brazil), Ph.D. student scholarship

  From 01 Sep. 2007, To 28 Feb. 2011

  Ellen H. Fukuda
• Topics in differentiable exact penalties

  Coordination for the Improvement of Higher Education Personnel (Brazil), Ph.D. student scholarship

  From 01 Mar. 2007, To 31 Aug. 2007

  Ellen H. Fukuda
• Volume algorithm and nondifferentiable optimization

  Coordination for the Improvement of Higher Education Personnel (Brazil), M.Sc. student scholarship

  From 01 Mar. 2005, To 28 Feb. 2007

  Ellen H. Fukuda
• Information retrieval using computational linear algebra

  National Council for Scientific and Technological Development (Brazil), Undergraduate research scholarship

  From 01 Aug. 2004, To 31 Jan. 2005

  Ellen H. Fukuda

Education

Teaching subject(s)

• From 01 Apr. 2025, To 31 Mar. 2026

  Logical Systems

  9070, Spring, Faculty of Engineering, 2
• From 01 Apr. 2025, To 31 Mar. 2026

  Operations Research, Advanced

  3424, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Logical Systems

  9070, Spring, Faculty of Engineering, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  Operations Research, Advanced

  3424, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2024, To 31 Mar. 2025

  ILAS Seminar

  Z001, Spring, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Logical Systems

  9070, Spring, Faculty of Engineering, 2
• From 01 Apr. 2023, To 31 Mar. 2024

  Operations Research, Advanced

  3424, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Logical Systems

  9070, Spring, Faculty of Engineering, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Operations Research, Advanced

  3424, Fall, Graduate School of Informatics, 2
• From Apr. 2014, To Mar. 2015

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2014, To Mar. 2015

  Applied Mathematics and Physics Laboratory

  Fall, 工学部
• From Apr. 2014, To Mar. 2015

  Exercise on Numerical Analysis

  Spring, 工学部
• From Apr. 2015, To Mar. 2016

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2015, To Mar. 2016

  Applied Mathematics and Physics Laboratory

  Fall, 工学部
• From Apr. 2016, To Mar. 2017

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2016, To Mar. 2017

  Applied Mathematics and Physics Laboratory

  Fall, 工学部
• From Apr. 2017, To Mar. 2018

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2017, To Mar. 2018

  Applied Mathematics and Physics Laboratory

  Fall, 工学部
• From Apr. 2018, To Mar. 2019

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2018, To Mar. 2019

  Applied Mathematics and Physics Laboratory

  Fall, 工学部
• From Apr. 2019, To Mar. 2020

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2019, To Mar. 2020

  Applied Mathematics and Physics Laboratory

  Fall, 工学部
• From Apr. 2020, To Mar. 2021

  Seminar on Applied Mathematics and Physics

  Fall, 工学部
• From Apr. 2020, To Mar. 2021

  Operations Research, Advanced

  Fall, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Logical Systems

  Spring, 工学部
• From Apr. 2021, To Mar. 2022

  Operations Research, Advanced

  Fall, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Logical Systems

  Spring, 工学部

Participation in PhD Defense

• Composite Multi-Objective Optimization: Theory and Algorithms

  TANABE HIROKI, Graduate School of Informatics, Sub-chief Examiner

  26 Sep. 2022

Participation in PhD Defenses (other than KU)

• Composite multi-objective optimization: theory and algorithms

  Hiroki Tanabe, Kyoto University, Japan, Chief Examiner

  22 Aug. 2022
• Newton-type and conjugate gradient methods for vector optimization

  Fernando Santana Lima, Federal University of Goiás, Brazil, Sub-chief Examiner

  25 Mar. 2022
• Computing inexact K-steepest descent directions and a new line search procedure for vector optimization

  Flávio Pinto Vieira, Federal University of Goiás, Brazil, Sub-chief Examiner

  24 Mar. 2022

Student achievements: Awards

• Student Thesis Award 2023

  Kosuke Okabe, Operations Research Society of Japan, 30 Jul. 2023
• Student Thesis Award 2020

  Hiroki Tanabe, Operations Research Society of Japan, 01 Jul. 2020
• 14th ICT Innovation’s Excellent Research Award

  Hiroki Tanabe, Kyoto University, 19 Feb. 2020
• Student Thesis Award 2019

  Kanako Mita, Operations Research Society of Japan, 12 Sep. 2019
• Excellent Student Presentation Award at SSOR2018 Kansai Region

  Ichiro Isonishi, Operations Research Society of Japan, 04 Nov. 2018
• SICE Annual Conference 2018 - Finalist for Young Author's Award

  Hiroki Tanabe, The Society of Instrument and Control Engineers, 16 Jul. 2020

Administration

Faculty management (title, position)

• From 01 Apr. 2024, To 31 Mar. 2026

  財務委員会委員
• From 01 Apr. 2023, To 31 Mar. 2024

  ハラスメント窓口相談員
• From 01 Apr. 2023, To 31 Mar. 2024

  人を対象とする研究倫理小委員会委員
• From 01 Apr. 2022, To 31 Mar. 2023

  人を対象とする研究倫理小委員会委員
• From 01 Apr. 2014, To 31 Mar. 2015

  広報ＷＧ委員
• From 01 Apr. 2015, To 31 Mar. 2016

  ハラスメント窓口相談員
• From 01 Apr. 2016, To 31 Mar. 2017

  情報セキュリティＷＧ委員
• From 01 Apr. 2016, To 31 Mar. 2017

  システム運用ＷＧ委員
• From 01 Apr. 2018, To 31 Mar. 2019

  図書WG委員
• From 01 Apr. 2020, To 31 Mar. 2022

  評価・広報委員会委員
• From 01 Apr. 2020, To 31 Mar. 2021

  ハラスメント窓口相談員
• From 01 Apr. 2021, To 31 Mar. 2022

  広報WG委員長

Academic, Social Contribution

Committee Memberships

• From Jun. 2025, To Present

  Associate Editor, Journal of Optimization Theory and Applications
• From Jun. 2025, To Present

  Organizing Committee, Operations Research Society of Japan - Fall Conference 2026
• From May 2025, To Present

  Session Organizer, RAMP Symposium 2026
• From Oct. 2024, To Present

  Organizing Committee, Cones: Theory and Optimization 2025
• From Mar. 2025, To Present

  Auditor, Operations Research Society of Japan, Kansai Region
• From May 2024, To Present

  Associate Editor, The Institute of Systems, Control and Information Engineers
• From Mar. 2023, To Feb. 2025

  Secretary, Operations Research Society of Japan, Kansai Region
• From Oct. 2022, To Present

  Faculty Advisor, Kyoto University SIAM Student Chapter
• From Apr. 2021, To Present

  Associate Editor, Computational Optimization and Applications
• From Apr. 2021, To Present

  Steering Committee, Operations Research Society of Japan, Kansai Region
• From Apr. 2015, To Mar. 2017

  Associate Editor, Journal of the Operations Research Society of Japan
• From Oct. 2021, To Sep. 2022

  Local Organizing Committee, 10th IFAC Symposium on Robust Control Design - ROCOND 2022
• From Nov. 2019, To Oct. 2020

  Organizing Committee and Session Organizer, RAMP Symposium 2020
• From Apr. 2019, To Mar. 2020

  Organizing Committee, Operations Research Society of Japan - Spring Conference 2020
• From Oct. 2016, To Sep. 2017

  Organizing Committee, Operations Research Society of Japan - Fall Conference 2017

Social Contribution

• Nikkei STEAM Symposium 2024 (Panel discussion with female researchers)

  Panelist

  Nikkei STEAM, Nikkei STEAM Symposium, From 30 Jul. 2024, To 30 Jul. 2024

  
• ELCAS basic course for high school students

  Lecturer, Planner

  Kyoto University, ELCAS basic course for high school students, From 06 Nov. 2021, To 20 Nov. 2021

  
• Kyoto University's extension lectures - president of the organizing committee

  Host, Planner

  Kyoto University, Graduate School of Informatics, Extension lectures "Opening the path of mathematical science and informatics", From 13 Mar. 2021, To 13 Mar. 2021

  
• ELCAS basic course for high school students

  Lecturer, Planner

  Kyoto University, ELCAS basic course for high school students, From 07 Nov. 2015, To 19 Dec. 2015