profile

Kazuki Hayashi

Nationality:

Japanese

Language:

# Japanese (Native)
# English    (Fluent)
# French    (Intermediate)

Education:

#    Visiting student, EPFL, 2019.6-9
# PhD candidate, Kyoto University, 2018-
# M.S. Architecture, Kyoto University, 2018
# Visiting Student, MIT, 2017.1-3
# B.S. Architecture, Kyoto University, 2016

Specialty:

# Architectural Design
# Structural Optimization
# Structural Mechanics
# Computational Morphogenesis
# Reinforcement Learning

Licensure:

# Engineer in training (passed 1st step of P.E. exam)

Programming:

# Fortran
# Python
# C#
# Matlab

Honor and Awards:

#    1st prize, International Student Competition in Structural Optimization (ISCSO), 2019.

# Best Presentation Award for young researchers, Annual Convention of Architectural Institute of Japan (AIJ), 2018.

# Highest prize, structural design competition in the symposium of Subcommittee on Computational Morphogenesis, 2018.

# Honor Prize (master thesis), Kyoto University, 2018.

# Best Presentation Award for young researchers, Annual Convention of Architectural Institute of Japan (AIJ), 2017.

# Best 100, SDA Award, 2016.  →See this project.

# Best Presentation Award, symposium of Subcommittee on Computational Morphogenesis, 2016.

# Honor Prize (diploma design), Kyoto University, 2016.  →See this project.

Publications:

#    Hiroto Ota, Kazuki Hayashi, Takuya Ito. Study on communication environment to visualize and share jury’s own design evaluation – Design review system with AHP application. The AIJ Journal of Technology and Design, Volume 27, Number 65, 2021 (accepted for publication, in Japanese).

#    Kazuki Hayashi, Makoto Ohsaki. Reinforcement learning and graph embedding for binary topology optimization under stress and displacement constraints. Frontiers in Built Environment, 2020.

#    Kazuki Hayashi, Makoto Ohsaki. Reinforcement learning for optimum design of a plane frame under static loads. Engineering with Computers, published online, 2020.

# Kazuki Hayashi, Makoto Ohsaki. FDMopt: Force density method for optimal geometry and topology of trusses. Advances in Engineering Software, Volume 133, pp.12-19, 2019.

# Makoto Ohsaki, Kazuki Hayashi. Force density method for simultaneous optimization of geometry and topology of trusses.
Structural and Multidisciplinary Optimization, pp.1-12, 2017.