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J-GLOBAL ID:202101004263606859   Update date: May. 29, 2024

Hayashi Kazuki

ハヤシ カズキ | Hayashi Kazuki
Affiliation and department:
Job title: Assistant Professor
Homepage URL  (1): https://www.hayashikazuki.net
Research field  (2): Building structures and materials ,  Building structures and materials
Research keywords  (3): Mathematical modelling of architectural structures ,  Structural Morphogenesis ,  Structural Optimization
Research theme for competitive and other funds  (9):
  • 2023 - 2026 Analysis and design of building frames using machine learning considering uncertainty of parameters
  • 2023 - 2024 Development of optimal design and construction methods for spatial structures using kerf bending with curvilinear patterns
  • 2021 - 2022 Development of a data-driven design support system using machine learning for design evaluation
  • 2022 - 2022 Discrete membrane O surface theory and graphic statics for a development of architectural surface design method
  • 2021 - 2022 Developing a hybrid method of graph embedding and machine learning for optimal design of skeletal structures
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Papers (19):
  • Hiroto Ota, Kazuki Hayashi. Architectural design education method introducing feedback by 2D mapping of design evaluations. AIJ Journal of Technology and Design. 2024. 30. 75. 1095-1100
  • Kazuki Hayashi, Jun Yanagimuro. Target shape approximation of funicular surfaces by load control using RBF interpolation. International Journal of Space Structures. 2024. 39. 2. 115-125
  • Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki. Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation. Engineering Applications of Artificial Intelligence. 2024. 129. 107594
  • Kazuki Hayashi, Yoshiki Jikumaru, Yohei Yokosuka, Kentaro Hayakawa, Kenji Kajiwara. Parametric generation of optimal structures through discrete exponential functions: unveiling connections between structural optimality and discrete isothermicity. Structural and Multidisciplinary Optimization. 2024. 67. 41
  • Makoto Ohsaki, Saku Aoyagi, Kazuki Hayashi. Multiobjective optimization approach to shape and topology optimization of plane trusses with various aspect ratios. arXiv. 2023. 2307.16473
more...
MISC (5):
  • Kazuki Hayashi, Makoto Ohsaki. Machine learning and optimization. Architectural Technology 2024 April issue. 2024. 891. 78-79
  • Hiroto Ota, Kazuki Hayashi. Introduction of two-dimensional mapping for design evaluation in architectural design education - Case study of the Mitaka Satellite Campus, a second-semester design project of the second year undergraduates. Bulletin of Institute of Architecture, Musashino University. 2023. 4
  • Kazuki Hayashi. Guidelines for applying machine learning models to building design and property prediction. "Architecture and Information-Toward the future of architectural studies", Research Council on Information System Technology Division, Architectural Institute of Japan. 2022. 38-41
  • Yosuke Nakaso, Tatsuya Yoshino, Kazuki Hayashi, Kenichi Kawaguchi. Participation report of IASS symposium 2019 in Barcelona. Steel Structure Technology April 2020 issue. 2020. 33. 383. 22-29
  • Kazuki Hayashi. Programming design methods. Journal of Architecture and Building Science. 2019. 134. 1730. 43-43
Books (1):
  • Differential geometric approaches to shell membrane theory and their applications to architectural surface design
    Math-for-industry Education and Research Hub, Kyushu University 2021
Lectures and oral presentations  (77):
  • Optimal design of spatial steel frames based on multi-agent reinforcement learning
    (Annual Convention of Architectural Institute of Japan (AIJ) 2024)
  • Non-developable surface structures using bilayer auxetic material and kerf bending joints
    (IASS Symposium 2024 2024)
  • Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity
    (Asian Congress of Structural and Multidisciplinary Optimization (ACSMO) 2024)
  • Evaluating generalization performance of boundary-informed cGANs for continuum topology optimization
    (Asian Congress of Structural and Multidisciplinary Optimization (ACSMO) 2024)
  • At the intersection of structural engineering, discrete differential geometry, and machine learning
    (PhD seminar at TU Munich 2024)
more...
Works (4):
  • RBF Load
    Kazuki Hayashi, Jun Yanagimuro 2023 - 現在
  • Assembly Sequence Predictor
    Kazuki Hayashi, Makoto Ohsaki 2022 - 現在
  • FDMopt
    Kazuki Hayashi, Makoto Ohsaki 2021 - 現在
  • LIVE AHP
    Kazuki Hayashi, Hiroto Ota 2020 - 現在
Education (5):
  • 2018 - 2021 Kyoto University Graduate School of Engineering Department of Architecture and Architectual Systems Engineering
  • 2019 - 2019 École polytechnique fédérale de Lausanne (EPFL) ENAC IIC
  • 2016 - 2018 Kyoto University Graduate School of Engineering Department of Architecture and Architectual Systems Engineering
  • 2017 - 2017 Massachusetts Institute of Technology (MIT) School of Architecture Building Technology Program
  • 2012 - 2016 Kyoto University Faculty of Engineering School of Architecture
Professional career (1):
  • Doctor of Engineering (Kyoto University)
Work history (3):
  • 2021/04 - 現在 Kyoto University Graduate School of Engineering Department of Architecture and Architectual Systems Engineering Assistant Professor
  • 2023/09 - 2024/08 École nationale des ponts et chaussées Laboratoire Navier Visiting researcher
  • 2018/04 - 2021/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists (DC1)
Committee career (5):
  • 2023/04 - 現在 The Japan Institute of Architects - subcommittee on structural optimization and integrated design member
  • 2022/04 - 現在 IASS WG13 Study Group Next Generation Parametric Design co-chair
  • 2023/11 - 2025/06 The 14th Asian Pacific Conference on Shell and Spatial Structures(APCS2025) Local Scientific Committee
  • 2022/08 - 2024/01 Architectural Institute of Japan Member of the Public Relations Committee of the annual meeting (2023) of Architectural Institute of Japan
  • 2021/04 - 2023/03 The Japan Institute of Architects - subcommittee on structural optimization and collaborative creation member
Awards (15):
  • 2023/05 - Faculty of Architecture and Architectural Engineering, Kyoto University Young Encouragement Award
  • 2022/11 - The Architectural Institute of Japan Best presentation award for young researchers Generation method of slit patterns using Bézier curves and structural analysis models with beam elements for kerf bending
  • 2022/09 - Faculty of Architecture and Architectural Engineering, Kyoto University Young Encouragement Award
  • 2022/09 - International Association for Shell and Spatial Structures (IASS) Hangai Prize Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning
  • 2022/07 - The Japan Federation of Engineering Societies (JFES) Theoretical Applied Mechanics Consortium Best Presentation Award Machine learning model using graph embedding for extracting features of skeletal structures
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Association Membership(s) (5):
the Japan Society of Mechanical Engineers ,  International Society for Structural and Multidisciplinary Optimization (ISSMO) ,  International Association for Shell and Spatial Structures (IASS) ,  The Japan Society for Computational Engineering and Science ,  The Architectural Institute of Japan
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