Research keywords (3)：
Ground motion prediction
, Earthquake source process
, Strong motions
Research theme for competitive and other funds (2)：
2017 - 2020 理論誤差を考慮した新たな震源過程解析手法による大地震震源像の解明
2014 - 2014 沈み込み帯で発生する超巨大地震の広帯域震源モデルの構築
Papers (20)：
T. Miyamoto, T. Asakawa, H. Kubo, Y. Nomura, Y. Miyamori. Research trends in machine learning from the perspective of disaster prevention applications. Intelligence, Informatics and Infrastructure. 2020. 1. J1. 242-251
Hisahiko Kubo, Kimiyuki Asano, Tomotaka Iwata, Shin Aoi. Along-dip variation in seismic radiation of the 2011 Ibaraki-oki, Japan, earthquake (Mw 7.9) inferred using a multiple-period-band source inversion approach. Journal of Geophysical Research: Solid Earth. 2020. 125. e2020JB019936
Hisahiko Kubo, Takashi Kunugi, Wataru Suzuki, Shingo Suzuki, Shin Aoi. Hybrid predictor for ground-motion intensity with machine learning and conventional ground motion prediction equation. Scientific Reports. 2020. 10. 11871
Hisahiko Kubo, Tomoaki Nishikawa. Relationship of preseismic, coseismic, and postseismic fault ruptures of two large interplate aftershocks of the 2011 Tohoku earthquake with slow-earthquake activity. Scientific Reports. 2020. 10. 12044
Hisahiko Kubo, Asako Iwaki, Wataru Suzuki, Shin Aoi, Haruko Sekiguchi. Estimation of the source process and forward simulation of long-period ground motion of the 2018 Hokkaido Eastern Iburi, Japan, earthquake. Earth, Planets and Space. 2020. 72. 20
Hisahiko Kubo, Takashi Kunugi, Wataru Suzuki, Takeshi Kimura, Shin Aoi. Construction of explainable random forest predictor for ground-motion intensity. JSAI2020. 2020. 4Rin1-94. 0
Hisahiko Kubo, Wataru Suzuki, Shin Aoi, Haruko Sekiguchi. Rupture process of the 2019 off Yamagata prefecture earthquake derived from near-source strong-motion records. Reports of Coordinating Committee for Earthquake Prediction. 2020. 103. 73-77
Hisahiko Kubo, Takashi Kunugi, Shingo Suzuki, Wataru Suzuki, Shin Aoi. Attempt to reduce the effect of biased data-set on ground-motion prediction using machine learning. JSAI2019. 2019. 4K2-J-13-02. 0
Hisahiko Kubo, Takashi Kunugi, Shingo Suzuki, Wataru Suzuki, Shin Aoi. Construction of ground motion prediction equation using random forest. JSAI2018. 2018. 4Pin1-35. 0. 4Pin135-4Pin135
Hisahiko Kubo, Takashi Kunugi, Wataru Suzuki, Shin Aoi. An attenuation relationship for deep-focus earthquakes around the Ogasawara Islands, Japan. Proc. 16th World Conf. Earthq. Eng., Santiago, Chile. 2017. 1119
Development of the spatiotemporal trans-dimensional source inversion
(2020 AGU Fall Meeting 2020)
Research trends in machine learning from the perspective of disaster prevention applications
(International Symposium on Intelligence, Informatics and Infrastructure 2020)
Regional characteristic of seismic activity inferred from unsupervised machine learning of F-net moment-tensor catalog
(SSJ Fall Meeting 2020, S24-01 2020)
Hybrid prediction approach of machine-learning and physical models in geoscience
(NVIDIA GPU Technology Conference, A21674 2020)
2012 - 2015 Kyoto University Division of Earth and Planetary Sciences
2010 - 2012 Kobe University Department of Earth and Planetary Sciences
2006 - 2010 Kobe University Department of Earth and Planetary Sciences
Professional career (1)：
博士(理学) (京都大学)
Work history (3)：
2019/07 - 現在 National Research Institute for Earth Science and Disaster Resilience Researcher
2015/04 - 2019/06 National Research Institute for Earth Science and Disaster Resilience Research Fellow
2014/04 - 2015/03 JSPS Research Fellow (DC2)
Awards (5)：
2019/09 - 2018 research paper award of the Seismological Society of Japan 3-D dynamic rupture simulations of the 2016 Kumamoto, Japan, earthquake
2018/05 - 2018 research paper award of the Seismological Society of Japan Attenuation Relationship Characteristics of Ground Motions for Deep-focus Earthquakes around the Ogasawara Islands, Japan
2017/10/01 - 2018 research paper award of the Seismological Society of Japan Source rupture process of the 2011 Fukushima-ken Hamadori earthquake: how did the two subparallel faults rupture?
2014/11/01 - 2018 research paper award of the Seismological Society of Japan
2014/05 - 2018 research paper award of the Seismological Society of Japan
Association Membership(s) (4)：
American Geophysical Union
, Japan Geoscience Union
, Japan Association for Earthquake Engineering
, Seismological Society of Japan
