Rchr
J-GLOBAL ID：200901000474544280   Update date: Dec. 21, 2024

Yoshida Keisuke

ヨシダ ケイスケ | Yoshida Keisuke
Affiliation and department：
Okayama University Graduate School of Environmental and Life Science

About Okayama University Graduate School of Environmental and Life Science


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  (24)：
  • 2024 - 2026 魚道等における魚種の自動識別
  • 2024 - 2025 画像生成AIとUAVによる河川ゴミ検出手法の開発
  • 2021 - 2025 旭川分流部の機能維持に関する研究
  • 2023 - 2024 UAVと深層学習を用いた河道の維持・管理手法の高度化
  • 2023 - 2024 旭川中原橋での洪水流量観測の高度化に向けた,流量更正係数と河道条件整備に関する研究
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Papers (155)：
  • Shijun PAN, Keisuke YOSHIDA, Yuki YAMADA, Takashi KOJIMA. Trials of Night-Time 4K-Camera-based Human Action Recognition in Riverine Environments with Multimodal and Object Detection Technologies. Intelligence, Informatics and Infrastructure. 2024. 5. 1. 89-97
  • Shijun PAN, Keisuke YOSHIDA, Daichi SHIMOE, Takashi KOJIMA, Satoshi NISHIYAMA. Generating 3D Models for UAV-Based Detection of Riparian PET Plastic Bottle Waste: Integrating Local Social Media and InstantMesh. Drones. 2024. 8. 9. 471
  • Keisuke Yoshida, Hiroshi Yajima, Md. Touhidul Islam, Shijun Pan. Assessment of spawning habitat suitability for Amphidromous Ayu (Plecoglossus altivelis) in tidal Asahi River sections in Japan: Implications for conservation and restoration. River Research and Applications. 2024. 40. 8. 1497-1511
  • Shijun PAN, Keisuke YOSHIDA, Yuki YAMADA, Takashi KOJIMA. Monitoring Human Activities in Riverine Space using 4K Camera Images with YOLOv8 and LLaVA: A Case Study from Ichinoarate in the Asahi River. Intelligence, Informatics and Infrastructure. 2024. 5. 89-97
  • Shijun PAN, Keisuke YOSHIDA, Takashi KOJIMA. Comprehensive Analysis of On-Site Riparian Waste Pollution: A Case Study on the Hyakken River Basin. Intelligence, Informatics and Infrastructure. 2024. 5. 98-103
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  (70)：
  • 模型実験と3次元洪水流解析を用いた樹冠部の流水抵抗モデルに関する基礎的研究
    (第76回土木学会中国支部研究発表会 2024)
  • UAVとAIを活用した河川巡視時のペットボトル検出における画像生成AIの適用に関する基礎的研究
    (第76回土木学会中国支部研究発表会 2024)
  • Evaluation of Segment Anything Model for Riparian Land Cover Classification from Aerial Imagery
    (15th International Conference on Hydroinformatics 2024)
  • Utilizing Smartphone-derived Photogrammetry 3D Model for AI-based Riparian Crack Segmentation and Measurement
    (15th International Conference on Hydroinformatics 2024)
  • The Interchangeability of the Cross-Platform Data in the Deep Learning-based Land Cover Classification Methodology
    (15th International Conference on Hydroinformatics 2024)
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
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Awards (5)：
  • 2024/12 - Intelligence, Informatics and Infrastructure Award for Highlighted Paper Application of the Prompt Engineering-assisted Generative AI for the Drone-based Riparian Waste Detection
  • 2024/06 - Japan Society of Civil Engineers Intelligence, Informatics and Infrastructure Award 2024 Comprehensive Analysis of On-Site Riparian Waste Pollution: A Case Study on the Hyakken River Basin
  • 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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