Naonori Ueda
Naonori Ueda (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Naonori Ueda
  • Research scientist
    Tomohisa Okazaki
  • Research scientist
    Atsushi Takahashi
  • Research scientist
    Bahareh Kalantar
  • Temporary employee
    Kazuro Hirahara
  • Visiting scientist
    Tsuyoshi Ichimura
  • Visiting scientist
    Hirotaka Hachiya
  • Visiting scientist
    Kazumi Saito
  • Visiting scientist
    Yuki Yamagishi

Introduction

Laboratory's photo

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.

Main Research Field
Computer Science
Research Field
Geosciences
Research Subjects
Ambient intelligence CPS by autonomous learning
Earthquake occurrence prediction model
Ground motion prediction model
Laboratory Website URL
http://www.kecl.ntt.co.jp/as/members/ueda/
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/goalorient_tech/disaster_resilience/

Introduction Video

Disaster Resilience Science Team (PI: Naonori Ueda) thumbnails
Show details
Poster(s)

Related posts

posted on March 21, 2024 13:46Information
FY2023 AWARD from the Seismological Society of Japan (March 19, 2024)
posted on September 29, 2023 16:37Information
【Event Report】Second International Workshop on Complex Systems Science and Health Neuroscience (Poland, Sep. 25, 2023)
posted on June 30, 2023 18:34Information
[Press Release]Results of joint research project into the use of AI technology for meteorological observation and forecasting (June 30, 2023)
posted on June 23, 2023 19:16Information
【Event Report】The 5th Annual Meeting of Japanese Associatin for Medical Artificial Intelligence (JMAI) (June 17-18, 2023, Tokyo)
posted on March 23, 2023 17:09InformationAward
RIKEN Ohbu Award 2022
posted on December 1, 2022 15:00InformationPressrelease
【Published】Physics-informed deep learning approach for modeling crustal deformation (Nature Communications, Nov. 19, 2022)
posted on October 3, 2022 17:04Information
【Pulished】Machine learning-based tsunami inundation prediction derived from offshore observations (Nature Communications, Sep. 19, 2022)
posted on May 6, 2022 17:35Information
【In the media】Data-Driven Ground Motion Prediction Models (Chikyu Monthly, May 2022 edition, May 6, 2022)
posted on December 15, 2021 10:50Information
Eliminates AI black boxes and realizes more understandable AI
posted on June 1, 2021 10:58Seminar
[31st AIP Open Seminar] Talks by Disaster Resilience Science Team
posted on June 22, 2020 16:28Award
Five researchers received RIKEN Ohbu Award 2019
posted on September 11, 2019 12:00Information
21 papers were accepted at NeurIPS 2019
posted on June 19, 2019 13:16Award
Postdoctoral Researcher Bahareh Kalantar of the Disaster Resilience Science Team received the Best Paper Award 2019, ISPRS
posted on November 16, 2018 10:51Information
Swedish Foundation for Strategic Research "The Future Research Leaders Program" Visit AIP