About
主に災害時の人の避難行動（特に津波避難）に関心を持って、避難の実態調査・分析や、シミュレーションによる避難行動の再現・予測について研究を進めています。
I study evacuation behaviours during disasters, especially in tsunamis. Current research involves fact-finding and analysis of actual evacuation behaviours as well as modelling and simulation of evacuation behaviours.
Updates
PRESENTATION --- JSAI2024
2024年度人工知能学会全国大会（第38回）のオーガナイズドセッション「AIを活用した都市と自然環境の空間・系列データのモデリング」にご招待いただき、「ライブ群衆シミュレーション」の題で研究を紹介しました。
PUBLICATION/PRESENTATION --- AAMAS'24
The paper “Bayesian Behavioural Model Estimation for Live Crowd Simulation” has been accepted as a full paper and presented at the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS'24).
PRESENTATION --- 日本災害情報学会
日本災害情報学会第28回学会大会 で「マスメディアの報道情報から収集した令和6年能登半島地震津波における避難実態の整理・分析」を発表しました.
POSITION --- IRIDES, TOHOKU UNIVERSITY
I serve as a Visiting Associate Professor at International Research Institute of Disaster Science (IRIDeS), Tohoku University .
PUBLICATION --- SCIENTIFIC REPORTS
The paper “Urban structure reinforces attitudes towards tsunami evacuation” has been accepted to Scientific Reports.
PUBLICATION --- LANDSLIDES
The paper “Simulating the entire rainfall-induced landslide process using the material point method for unsaturated soil with implicit and explicit formulations” has been accepted to Landslides.
PRESENTATION --- AGU FALL MEETING 2022
I gave an invited talk “AI-enabled rapid tsunami forecasting for prompt evacuation” at AGU Fall Meeting 2022.
PRESENTATION --- ACCELERATING GLOBAL SCIENCE IN TSUNAMI HAZARD AND RISK ANALYSIS (AGITHAR) GENERAL MEETING
I gave an invited talk at Accelerating Global science In Tsunami HAzard and Risk analysis (AGITHAR) General Meeting.
PUBLICATION --- SCIENTIFIC REPORTS
The paper “Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation” has been accepted to Scientific Reports.
PRESENTATION --- JAPAN GEOSCIENCE UNION MEETING (JPGU) 2022
I gave an invited talk “End-to-end tsunami inundation forecasting from observation data using convolutional neural networks” at Japan Geoscience Union Meeting (JpGU) 2022.