School personnel information

写真b

KOIZUMI Keigo


Keyword

Geo-hazard prevention, Conservation of Cultural Property, Remote Sensing,

Mail Address

Mail Address

URL

http://www.civil.eng.osaka-u.ac.jp/koizumi/

Organization 【 display / non-display

  • 2003.04.01 - 2005.03.31, Graduate School of Engineering, Research Assistant

  • 2005.04.01 - 2007.03.31, Division of Global Architecture, Graduate School of Engineering, Research Assistant

  • 2007.04.01 - , Division of Global Architecture, Graduate School of Engineering, Assistant Professor

Education 【 display / non-display

Osaka University Graduate School, Division of Engineering  Accomplished credits for doctoral program 2003.03

Employment Record 【 display / non-display

Dept.of Global Architecture, Graduate School of Engineering Osaka Univ., Assistant Prof. 2003.04 -

Research topics 【 display / non-display

  • Prediciton, monitoring and preventive technique of slope disaster
    Geotechnical engineering-related

  • Cultural assets study-related

  • Environmental dynamic analysis-related, Environmental systems for civil engineering-related, Geotechnical engineering-related

 

Academic Papers 【 display / non-display

  • Variation of particle distribution with data assimilating for soil moisture characteristics by merging particle filter method, Ayano Fujimoto, Kazuhiro Oda, Shin-ichi Ito, Kensei Koshimura, Keigo Koizumi, Proceedings of the Kansai Geo-Symposium 2017, 206-211, 2017.11, Papers(In Japanese)

  • Measurement accuracy of Orientation Code Matchingfor slope deformation monitoring, Takeshi YAMAMOTO, Keigo KOIZUMI, Kazuhiro ODA, Yoshio FUKUDA, Katsuo Sasahara, Proceedings of the Kansai Geo-Symposium 2017, 196-199, 2017.11, Papers(In Japanese)

  • Discussion about arrangements of monitoring instruments at back side slope of Ankokuji-Temple, K. Oda1, H. Yano, S. Kagamihara, R. Fukagawa, S. Kataoka, K. Koizumi, T. Koyama, K. Sasahara, H. Tsujino, M. Fujimoto, S. Ito, K. Odan, Proceedings of the Kansai Geo-Symposium 2017, 212-217, 2017.11, Papers(In Japanese)

  • Proposal of technique for picking up and ranking to risky slope based on artificial intelligence technology, Akihiro Matsumoto, Keiji Sakuradani, Shinichi Ito, Kazuhiro Oda, Keigo Koizumi1, Proceedings of the Kansai Geo-Symposium 2017,pp.264-269, 2017.11, Papers(In Japanese)

  • Risk assessment of sediment disasters due to heavy rain based on machine learning, Shinichi ITO, Kazuhiro ODA, Keigo KOIZUMI, Kensei Koshimura, Shin-ichi Hirooka, Bu lingdong, Proceedings of the Kansai Geo-Symposium 2017,pp.264-269, 2017.11, Papers(In Japanese)

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