Rchr
J-GLOBAL ID:200901000474544280   Update date: Apr. 11, 2024

Yoshida Keisuke

ヨシダ ケイスケ | Yoshida Keisuke
Affiliation and department:
Job title: Associate Professor
Research field  (1): Hydroengineering
Research keywords  (4): 河川工学 ,  防災工学 ,  環境流体工学 ,  数値流体力学
Research theme for competitive and other funds  (5):
  • 2018 - 2021 Accuracy improvement of vegetation dynamic sub-models using ALB-derived data and data assimilation
  • 2016 - 2019 Improvement of riverbed and vegetation dynamics prediction model for strategic river management and its application to the field
  • 2014 - 2017 Hydraulic study on river vegetation dynamics for efficient river management tasks
  • 2007 - 2008 Numerical solver of river flows with secondary currents using new class of semi-structured mesh with waterline capturing technique
  • 2005 - 数値流体計算と画像処理を併用した河川流の解析法の開発
Papers (153):
  • Hiroshi YAJIMA, Yo FUJII, Shogo SUGAHARA, Keisuke YOSHIDA. CLASSIFICATION OF PHYTOPLANKTON GROUPS USING A MULTI-WAVELENGTH EXCIATION FLUOROMETER WITH RANDOM FOREST. Japanese Journal of JSCE. 2024. 80. 16. 23-16032
  • Keisuke YOSHIDA, Shijun PAN, Takahiro YOKOYAMA, Yasushi YAMASHITA, Yuki UEDA, Hiroyuki SUGINO, Takashi KOJIMA. DEEP LEARNING OF UNDERWATER IMAGES AND TRAINING DATA CRITERIA FOR UNDERSTANDING FEEDING INJURY OF ACANTHOPAGRUS SCHLEGELII IN NORI SEAWEED FARMS. Japanese Journal of JSCE. 2024. 80. 16. 23-16150
  • Ryo FURUTANI, Keisuke YOSHIDA, Takumi OKADA, Yuki KAJIKAWA, Satoshi NISHIYAMA. NUMERICAL REPRODUCTION OF OVERTHROW OF BAMBOO FOREST AND WASHOUT OF WOODY VEGETATION DURING FLOODING USING ESTIMATION OF THREE-DIMENSIONAL PROFILE OF VEGETATION DRAG FORCE WITH AERIAL LASER DATA AND FLOOD SIMULATION. Japanese Journal of JSCE. 2024. 80. 16. 23-16161
  • Shijun PAN, Keisuke YOSHIDA, Satoshi NISHIYAMA. Detection and Segmentation of Riparian Asphalt Paved Cracks Using Drone and Computer Vision Algorithms. Intelligence, Informatics and Infrastructure. 2023. 4. 2. 35-49
  • Shijun PAN, Keisuke YOSHIDA, Takashi KOJIMA. Application of the Prompt Engineering-assisted Generative AI for the Drone-based Riparian Waste Detection. Intelligence, Informatics and Infrastructure. 2023. 4. 2. 50-59
more...
MISC (1):
  • Shiro MAENO, Keisuke YOSHIDA, Graduate School of Environmental and Life Science Okayama University, Graduate School of Environmental and Life Science Okayama University. River Flow and Vegetation Dynamics(<Special Review>Habitats and Fluid Dynamics). 2014. 33. 4. 349-354
Lectures and oral presentations  (63):
  • Crack Detection in Asphalt-Paved Top Surface of River Embankments Using Unmanned Aerial Vehicles and Computer Vision Algorithms
    (2023)
  • 神西湖および差海川におけるヤマトシジミの形状特性・肥満度と生息環境場との関係
    (第75回土木学会中国支部研究発表会 2023)
  • Deep learning riparian land cover classification methodology using aerial photograph
    (39th IAHR World Congress 2022)
  • 2021年の殿ダム貯水池におけるアオコ発生抑制に関する考察
    (第74回土木学会中国支部研究発表会 2022)
  • Assessing performance of a novel UAV-borne green LiDAR on vegetated rivers characterization: comparison with traditional airborne LiDAR bathymetry
    (9th Int. Symp. on Environmental Hydraulics 2021 2021)
more...
Education (3):
  • - 2005 Kyoto University
  • - 2002 Kyoto University
  • - 2000 Kyoto University Faculty of Engineering School of Global Engineering
Professional career (1):
  • 博士(工学) (京都大学)
Work history (3):
  • 2012/04 - 現在 Okayama University Associate Professor
  • 2009/04 - 2012/03 Chiba Institute of Technology Assistant Professor
  • 2005/04 - 2009/03 Tokyo Institute of Technology Researcher
Committee career (8):
  • 2020/04 - 現在 国土交通省中国地方整備局 ダム等管理フォローアップ委員会 委員
  • 2018/04 - 現在 国土交通省中国地方整備局 小田川堤防調査委員会 委員
  • 2016/12 - 現在 土木学会 応用力学委員会 委員
  • 2013/03 - 現在 土木学会 水工学委員会 基礎水理部会 委員
  • 2023/06 - 2025/05 土木学会 土木学会論文集水圏工学編集小委員会委員
Show all
Awards (3):
  • 2022/12 - Japan Society of Civil Engineers Intelligence, Informatics and Infrastructure Outstanding Potential Paper Award Drone-LiDAR-assisted Image Fusion methodology for Deep Learning-based Land Cover Classification
  • 2022/11 - 公益財団法人 八雲環境科学振興財団 八雲賞 レーザー計測による3次元河道条件の推定と旭川分流堰周辺の洪水流解析への応用
  • 2021/04 - 公益財団 中国電力技術研究財団 研究奨励賞 航空レーザー測深データを活用した,洪水時の河川堤防の越流リスク予測手法の開発
Association Membership(s) (3):
International Association for Hydro-Environment Engineering and Research ,  THE JAPAN SOCIETY OF FLUID MECHANICS ,  Japan Society of Civil Engineers
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