About
Leveraging mathematical modelling and simulation, high-performance computing, machine learning, and AI to understand, predict, and optimize complex physical and social phenomena, with the goal of addressing societal challenges and achieving real-world impact.
Updates
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.
PUBLICATION --- INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
The paper “Mechanism of an evacuation cascade during the 2011 Tohoku tsunami inferred from an evacuation simulation incorporating communications in social networks” has been accepted to International Journal of Disaster Risk Reduction.
PRESENTATION --- 防火・防災研修会
I gave an invited talk at 防火・防災研修会（ふくい嶺北連携中枢都市圏事業）.
PRESENTATION --- 令和3年度東北地区応用力学フォーラム
I gave an invited talk at 令和3年度東北地区応用力学フォーラム「データ駆動型科学と災害予測シミュレーション」.
AWARD --- THE 30TH INTERNATIONAL TSUNAMI SYMPOSIUM
I have received “Best Poster Presentation Award” at The 30th International Tsunami Symposium.
RESEARCH GRANT --- IRIDES
My research proposal “数理モデルで探る連鎖する津波避難のメカニズム” has been accepted for 東北大学災害科学国際研究所の2021年度共同研究助成 .
PUBLICATION --- INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
The paper “Revealing complex tsunami evacuation process patterns induced by social interactions: A case study in Ishinomaki” has been accepted to International Journal of Disaster Risk Reduction.
PUBLICATION --- NATURE COMMUNICATIONS
The paper “Early forecasting of tsunami inundation from tsunami and geodetic observation data with convolutional neural networks” has been accepted to Nature Communications.