Rchr
J-GLOBAL ID：201901019883235965   Update date: Nov. 05, 2024

Ogawa Yoshiki

Ogawa Yoshiki | Ogawa Yoshiki
Affiliation and department：
The University of Tokyo Center for Spatial Information Science at the University of Tokyo

About The University of Tokyo Center for Spatial Information Science at the University of Tokyo


Research field  (1)： Disaster prevention engineering
Research keywords  (5)： Reinforcement learning ,  Machine learning ,  Big data ,  Disaster management ,  GIS
Research theme for competitive and other funds  (13)：
  • 2024 - 2028 Real-time global logistics simulation system considering all transport modes and applications to policy analysis
  • 2024 - 2027 Realizing Micro Population Data at the Building Scale in Developing Countries Using Satellite Image and AI
  • 2024 - 2027 Integrated Dynamics Monitoring and Application for Land and Maritime Transport through Observation Data Collaboration
  • 2024 - 2026 生成AI技術を用いた都市規模の三次元建物データの効率的な作成・更新技術の体系化
  • 2023 - 2026 疑似人流開発プラットフォームの構築
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Papers (64)：
  • Amit Gill, Maddegedara Lalith, Muneo Hori, Yoshiki Ogawa. Analysis of postdisaster economy using high-resolution disaster and economy simulations. Risk Analysis. 2024
  • Shaofeng Yang, Yoshiki Ogawa, Koji Ikeuchi, Ryosuke Shibasaki, Yuuki Okuma. Post-hazard supply chain disruption: Predicting firm-level sales using graph neural network. International Journal of Disaster Risk Reduction. 2024
  • Shenglong Chen, Yoshiki Ogawa, Chenbo Zhao, Yoshihide Sekimoto. Enhanced large-scale building extraction evaluation: developing a two-level framework using proxy data and building matching. European Journal of Remote Sensing. 2024. 57. 1
  • Yoshiki Ogawa, Takuya Oki, Chenbo Zhao, Yoshihide Sekimoto, Chihiro Shimizu. Evaluating the subjective perceptions of streetscapes using street-view images. Landscape and Urban Planning. 2024
  • Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto. End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models. Remote Sensing. 2024
ｍore...
MISC (37)：
  • 今出川 祐亮, 沖 拓弥, 小川 芳樹, 趙 琛渤. 街路全方位画像ビッグデータから抽出した建物外観画像に基づく汎用的な印象評価手法の検討. 第31回地理情報システム学会研究発表大会講演論文集. 2022
  • Deep-learning based approach for building extraction and usage classification from fused DSM and satellite images. Proceeding of 31th Geographic Information System Association conference. 2022
  • 楊 少鋒, 小川 芳樹, 柴崎 亮介, 池内 幸司. 企業単位のエージェントシミュレーションモデルによる水害がサプライチェーンに及ぼす影響の推計 -平成30年7月豪雨を事例として-. 第31回地理情報システム学会研究発表大会講演論文集. 2022
  • 秋山 祐樹, 飯塚 浩太郎, 小川 芳樹, 今福 信幸, 谷内田 修, 杉田 暁. ドローンで収集した熱赤外画像および可視画像から人工知能(AI)により迅速に空き家分布推定を行う手法の検討. 第31回地理情報システム学会研究発表大会講演論文集. 2022
  • 沖 拓弥, 小川 芳樹, 趙 琛渤, 今出川 祐亮, 清水 千弘. 街路全方位画像ビッグデータを用いた街路景観の主観的印象評価の属性別傾向. 第31回地理情報システム学会研究発表大会講演論文集. 2022
ｍore...
Work history (5)：
  • 2022/08 - 現在 Center for Spatial Information Science, at the University of Tokyo Division of Joint Usage and Research Lecturer professor
  • 2020/11 - 2022/07 The University of Tokyo Center for Spatial Information Science at the University of Tokyo Division of Joint Usage and Research Assistant professor
  • 2019/04 - 2020/11 The University of Tokyo Institute of Industrial Science Project assistant professor
  • 2017/05 - 2019/03 The University of Tokyo Institute of Industrial Science Project researcher
  • 2016/10 - 2017/04 The University of Tokyo Center for Spatial Information Science at the University of Tokyo Project researcher
Awards (2)：
  • 2022/12 - NEDO Supply Chain Data Challenge, System Development Category Theme 1 -Ports- 3rd
  • 2022/11 - Center for Spatial Information Science, at the University of Tokyo CSIS DAYS 2022 Best presentation award
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