Updated on 2024/10/08

写真a

 
HIGAKI TAKEFUMI
 
Organization
Graduate School of Engineering Division of Aerospace and Marine-System Engineering Assistant Professor
School of Engineering Department of Marine System Engineering
Title
Assistant Professor
Affiliation
Institute of Engineering
Affiliation campus
Nakamozu Campus

Position

  • Graduate School of Engineering Division of Aerospace and Marine-System Engineering 

    Assistant Professor  2024.04 - Now

  • School of Engineering Department of Marine System Engineering 

    Assistant Professor  2024.04 - Now

Degree

  • 博士(工学) ( Osaka Prefecture University )

Research Areas

  • Frontier Technology (Aerospace Engineering, Marine and Maritime Engineering) / Marine engineering

Research Interests

  • Inverse Reinforcement Learning

  • Automatic Collision Avoidance

  • Automatic Berthing

  • Particle Method

  • Imitation Learning

  • Surrogate Model

Professional Memberships

  • The Japanese Society for Artificial Intelligence

    2022.06 - Now

  • The Japan Society of Naval Architects and Ocean Engineers

    2015.04 - Now

Awards

  • Excellent Poster Award

    2023.09   Osaka Metropolitan University   Investigation and Imitation of Expert Decision-Making by Captains

  • 工学研究科学生顕彰

    2023.03   大阪府立大学  

  • 支部長賞(奨励)

    2022.12   日本船舶海洋工学会関西支部   熟練船長による避航操船行動の解明と模倣

  • 若手優秀講演賞

    2022.05   日本船舶海洋工学会   自動避航操船のための最適航路計画の策定 −逆強化学習による熟練船長の模倣−

  • 日本船舶海洋工学会奨学褒章

    2019.03   日本船舶海洋工学会  

  • 大阪大学工学賞

    2017.03   大阪大学  

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Job Career (off-campus)

  • Japan Society for the Promotion of Science   Research Fellowships for Young Researchers (DC1)

    2022.04 - 2024.03

  • ソフトバンク株式会社

    2019.04 - 2021.07

Education

  • Osaka Prefecture University   Doctor's Course   Graduated/Completed

    2021.09 - 2024.03

  • Osaka University   Master's Course   Graduated/Completed

    2017.04 - 2019.03

  • Osaka University   Bachelor's Course   Graduated/Completed

    2013.04 - 2017.03

Papers

  • Enhancing Graph Neural Network-Based Surrogate Models for Lagrangian Fluid Simulations: Accurate Pressure Prediction, Flexible Boundary Condition Handling, and Time-Step Convergence

    Takefumi Higaki, Yuki Tanabe, Hirotada Hashimoto, Takahito Iida

    SSRN (preprint)   2024.07

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  • Berthing Assistance Method for Automated Docking by Backward-Time Imitation Learning and Kernel Density Estimation Based on AIS Data

    Takefumi Higaki, Hirotada Hashimoto

    SSRN (preprint)   2024.05

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  • Human-like Automatic Berthing System based on Imitative Trajectory Plan and Tracking Control

    Takefumi Higaki, Hiroki Nobe, Hirotada Hashimoto

    Proceedings of the OCEANS 2024-Singapore   1 - 5   2024.04

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    Authorship:Lead author  

  • Online Berthing Trajectory Planner With Weak Constraint Based on AIS

    Takefumi Higaki, Hirotada Hashimoto, Hiroki Nobe

    SSRN (preprint)   2023.11

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    Authorship:Lead author, Corresponding author  

    DOI: 10.2139/ssrn.4591966

  • Human-like route planning for automatic collision avoidance using generative adversarial imitation learning Reviewed

    Takefumi Higaki, Hirotada Hashimoto

    Applied Ocean Research   138 ( 103620 )   1 - 12   2023.09

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    Authorship:Lead author, Corresponding author  

    DOI: 10.1016/j.apor.2023.103620

  • Apprentice Route Planner for Automatic Collision Avoidance

    Takefumi Higaki, Hirotada Hashimoto, Hitoshi Yoshioka

    Proceedings of the 4th International Conference on Smart & Green Technology for Shipping and Offshore Decommissioning (SMATECH 2023)   104 - 109   2023.04

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    Authorship:Lead author  

  • Investigation and Imitation of Human Captains' Maneuver Using Inverse Reinforcement Learning Reviewed

    Takefumi Higaki, Hirotada Hashimoto, Hitoshi Yoshioka

    Journal of the Japan Society of Naval Architects and Ocean Engineers   36   137 - 148   2022.12

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    Authorship:Lead author, Corresponding author  

    DOI: 10.2534/jjasnaoe.36.137

  • MPS for Free Surface Flow with Elastic and Destructible Structures Reviewed

    Takahito Iida, Takefumi Higaki

    Proceedings of the 29th International Ocean and Polar Engineering Conference   2764 - 2771   2019.06

  • Trial Demonstration of Fluid Ice Ship Interactive Simulations by Particle Method

    Takahito Iida, Takefumi Higaki

    Proceedings of the 34th International Symposium on the Okhotsk Sea & Polar Oceans 2019   258 - 261   2019.02

  • Hydroelastic Slamming Simulations by a Fully Lagrangian Coupled MPS Method Reviewed International coauthorship

    Takefumi Higaki, Abbas Khayyer, Masashi Kashiwagi, Jong-Chun Park

    Proceedings of the 8th International Conference on Hydroelasticity in Marine Technology   115 - 124   2018.09

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    Authorship:Lead author  

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MISC

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Presentations

Grant-in-Aid for Scientific Research

  • Development and evaluation of route planner using imitation learning

    Grant-in-Aid for Scientific Research(B)  2025

  • Proposal of particle-based surrogate modeling for ocean development: fast computation and data assimilation using graph networks

    Grant-in-Aid for Research Activity Start-up  2025

  • Development and evaluation of route planner using imitation learning

    Grant-in-Aid for Scientific Research(B)  2024

  • Proposal of particle-based surrogate modeling for ocean development: fast computation and data assimilation using graph networks

    Grant-in-Aid for Research Activity Start-up  2024

Charge of on-campus class subject

  • 海洋システム工学実験

    2024   Weekly class   Undergraduate

  • 海洋システム機械工作実習

    2024   Weekly class   Undergraduate

Social Activities ⇒ Link to the list of Social Activities

  • 学生ワークショップ

    Role(s): Lecturer, Planner

    Type: Seminar, workshop

    日本船舶海洋工学会  令和6年春季講演会  2024.05

  • 海ごみ問題を通じた道徳授業(小学生対象)

    Role(s): Guest, Lecturer

    Type: Visiting lecture

    大阪大学大学院船舶海洋工学部門  海ごみ問題を考えるニュース番組をつくろう!  吹田市立藤白台小学校  2022.02

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    Audience: Schoolchildren

    小学4年生を対象とした、海ごみ問題を通じた道徳教育に講師として参画しました。

  • 蛍雪大学 オリジナル授業(高校生対象)

    Role(s): Lecturer, Planner, Performer

    Type: Visiting lecture

    どうして転覆しない!?~船から見る工学のお話~  愛媛県立今治西高等学校  2015.08

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    Audience: High school students

    高校生を対象に、船の復原力をテーマに実験やクイズを交えて講演しました。