RIKEN Center for Advanced Intelligence Project Disaster Resilience Science Team
Team Leader: Naonori Ueda (D.Eng.)
Research Summary
In recent years, natural disasters such as a major earthquake and the accompanying big tsunami that cause enormous damage occur. It takes a huge amount of time and cost to restore a social system that suffered greatly every time. In our research team, in the event of a natural disaster that brings about such a serious disaster, we aim to research and develop artificial intelligence technologies that enable to reduce the damage as much as possible, restore the social system once damaged efficiently and effectively, and resume social and economic activities promptly.
Research Subjects:
- Ambient intelligence CPS by autonomous learning
- Earthquake occurrence prediction model
- Ground motion prediction model
Main Research Fields
- Computer Science
Related Research Fields
- Geosciences
Selected Publications
- 1.
Okazaki, T., Hirahara, K. & Ueda, N.:
"Fault geometry invariance and dislocation potential in antiplane crustal deformation: physics-informed simultaneous solutions"
Prog Earth Planet Sci 11, 52, 2024. - 2.
Hachiya, H., Tarasuki, Y., Iwaki, A., Maeda, Y., Ueda, N., Fujiwara, H.:
"Interpretable deep inpainting based on subsurface structure data for spatial interpolation of seismic motions"
Japan Association for Earthquake Engineering, JAEE24-079.R1, 2024. - 3.
Mulia,I.E.,Ueda,N.,Miyoshi,T.,Iwamoto,T.& Heidarzadeh,M.:
"A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields"
Scientific Reports 13,7918, doi: 10.1038/s41598-023-35093-9, 2023. - 4.
Hachiya, H., Nagayoshi, K., Iwaki, A., Maeda, Y., Ueda, N., Fujiwara, H.:
" MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters"
Proc. of Asian Conference on Machine Learning (ACML2024), 2024. - 5.
Tanaka, Y., Iwata, T., Ueda, N.:
"Neural operators for Hamiltonian and dissipative PDEs", Proc. of International Conference on Scientific Computation and Differenctial Equations"
SciCADE2024, 2024. - 6.
Ahmadi, M., Shafapourtehrany, M., Özener, H., Yilmaz, O. M., Kalantar, B., & Shabani,F.:
"Eigenvector spatial filtering enhancing natural hazards vulnerability assessment in a susceptible urban environment,: A case study of Izmir earthquake in Turkey."
Environmental Technology & Innovation, 35, 103666, 2024. - 7.
Kalantar, B., Ueda, N., Zand, M., & Al-Najjar.:
"Moving Object Detection by Low-Rank Analysis of Region-Based Correlated Motion Fields"
In IGARSS 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 5874-5877), 2023. - 8.
Saeidi,V.,Seydi,S.T.,Kalantar,B.,Ueda,N.,Tajfirooz,B.,& Shabani,F.:
"Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence"
Geomatics,Natural Hazards and Risk,14(1),2225691,2023. - 9.
Murakami,S.,Fujita,K.,Ichimura,T.,Hori,T.,Hori,M.,Lalith,M.,and Ueda,N.:
"Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU"
Lecture Notes in Computer Science, vol 14074,2023. doi: 10.1007/978-3-031-36021-3_45 - 10.
Hachiya,H.,Masumoto,Y.,Kudo,A.,and Ueda,N.:
"Encoder–decoder-based image transformation approach for integrating multiple spatial forecasts,"
Machine Learning with Applications 12(100473) 1-11,2023.
Recent Research Results
Related Links
Lab Members
Principal investigator
- Naonori Ueda
- Team Leader
Core members
- Bahareh Kalantarghorashi Harandi
- Research Scientist
- Tomohisa Okazaki
- Research Scientist
- Atsushi Takahashi
- Research Scientist
- Tsuyoshi Ichimura
- Visiting Scientist
- Hirotaka Hachiya
- Visiting Scientist
- Kazumi Saito
- Visiting Scientist
- Yuki Yamagishi
- Visiting Scientist
- Iyan Mulia
- Visiting Scientist
Contact Information
Advanced Telecommunications Research Institute International (ATR)
Email: naonori.ueda@riken.jp