Miyamoto Takashi

ミヤモトタカシ | Miyamoto Takashi

Affiliation and department：
Homepage URL (1)： http://www.ccn.yamanashi.ac.jp/~tmiyamoto/

Research field (3)： Mathematical informatics , Disaster prevention engineering , Structural and seismic engineering

Research keywords (3)： applied mechanics , data science , earthquake engineering

Research theme for competitive and other funds (11)：

2021 - 2024 A New AI Method for Bridge Inspection and Diagnosis that Combines CNN with Highly Accurate Damage Detection and Expertises
2019 - 2024 スパースな地震観測網による地盤-構造物系の地震時挙動の高精度予測手法の開発
2019 - 2023 Development of a heavy rainfall prediction method combining numerical weather prediction models and deep learning methods
2018 - 2022 様々な情報源から得られるヘテロデータのマルチモーダル学習による地震被害分布の推定
2019 - 2021 衛星リモートセンシングから得られる時空間ビッグデータの機械学習による地震被害の判別

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Papers (33)：

Hidetaka Saomoto, Takashi Miyamoto. GENERATING MACHINE LEARNING DATASETS ON DAMAGE IDENTIFICATION USING FINITE ELEMENT BRIDGE MODEL. Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)). 2022. 78. 4. I_10-I_21
Takashi Miyamoto, Yudai Yamamoto. Using 3D Convolution and Multimodal Architecture For Earthquake Damage Detection Based on Satellite Imagery and Digital Urban Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021. 1-1
Takashi Miyamoto, Yudai Yamamoto. Using Multimodal Learning Model for Earthquake Damage Detection Based on Optical Satellite Imagery and Structural Attributes. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. 2020. 6623-6626
CHUN Pang-Jo, DANG Ji, 佐野泰如, 杉崎光一, 宮本崇, 阿部雅人, 清水隆史. AIを活用した鋼構造物の腐食損傷の点検・診断の現状及び展望. 防錆管理. 2020. 64. 6. 193-200
杉崎光一, 阿部雅人, CHUN Pang-jo, 宮本崇, 河村圭. ENHANCEMENT OF PRODUCTIVITY IN INFRASTRUCTURE MAINTENANCE THROUGH ARTIFICIAL INTELLIGENCE. 土木学会論文集A1(構造・地震工学). 2020. 76. 2. 197-211

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MISC (33)：

久保栞, 西尾真由子, 井上純哉, 宮本崇, CHUN Pang-jo. Estimation of geotechnical parameters in consolidation settlement problems using physics-informed neural networks. 計測自動制御学会システムインテグレーション部門講演会(CD-ROM). 2021. 22nd
宮本崇, 西尾真由子, CHUN Pang-jo. DYNAMIC ANALYSIS OF ONE-DIMENSIONAL CONTINUUM BASED ON PHYSICS-INFORMED NEURAL NETWORKS. AI・データサイエンス論文集(Web). 2021. 2. J2
北原武嗣, 宮本崇. 震災に立ち向かうAI・IoT技術 IoT・AI技術の地震工学への応用. 日本地震工学会誌. 2021. 42
宮本崇, ZHENG Shitao, 阿部雅人, 清水慎吾, 加藤亮平, 岩波越. Koopman operator analysis: application in short-term precipitation forecasts. 日本地球惑星科学連合大会予稿集(Web). 2020. 2020
宮本崇. クープマン作用素解析による動的な物理現象へのデータ駆動アプローチ. 土木学会年次学術講演会講演概要集(CD-ROM). 2020. 75th

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Education (4)：

2009 - 2012 The University of Tokyo Graduate School of Engineering Doctoral Course, Department of Civil Engineering
2007 - 2009 The University of Tokyo Graduate School of Engineering Master Course, Department of Civil Engineering
2005 - 2007 The University of Tokyo Faculty of Engineering Department of Civil Engineering
2003 - 2005 The University of Tokyo College of Liberal Arts and Sciences Junior Division Natural Sciences I

Professional career (1)：

Work history (4)：

2021/04 - 現在 German Research Center for Artificial Intelligence Visiting Scholar
2020/02 - 現在 University of Yamanashi Faculty of Engineering Department of Civil and Environmental Engineering Associate Professor
2012/07 - 2020/01 University of Yamanashi Department of Civil & Environmental Engineering assistant professor
2012/04 - 2012/06 University of Illinois Urbana Champaign visiting researcher

Awards (5)：

2020/12 - 土木学会構造工学委員会構造工学でのAI活用に関する研究小委員会 AI・データサイエンス論文賞パターン認識と法則発見のデータサイエンス
2020/10 - Japan Society of Civil Engineering Presentation Award on 2020 JSCE Applied Mechanics Symposium
2017/08 - Best Presentation Award, IMEC2017
2014/10 - Outstanding Paper Award, Built Environment Project and Asset Management
2010/08 - Applied Mechanics Committee, Japan Society of Civil Engineering Best Paper Award from JSCE Applied Mechanics Committee

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