研究室紹介

The primary goal of our laboratory is to support the elimination of disaster-related human losses by predicting the scale of disasters before they occur.
By understanding the fundamental mechanisms of nature—such as water, soil, and wind—and by quantifying the uncertainties inherent in disaster phenomena, we are pioneering a new research field called ”Crisis Informatics”, which confronts disasters using mathematics as a core scientific tool. Furthermore, predicted disaster scenarios in virtual environments are visualized using digital twin technologies, including VR and AR. These visualizations are utilized as practical tools for disaster prevention planning and evacuation training, thereby contributing directly to society.
Achieving these goals requires more than conventional, subdivided approaches in civil engineering such as structural, geotechnical, and hydraulic engineering. Instead, we conduct multiphysics analyses that integrate multiple disciplines. In addition, to estimate disaster scales within the limited lead time before an event occurs, we are developing high-speed computational techniques that combine numerical simulation with machine learning. Since the target of analysis often extends to entire urban areas, this field also involves large-scale computations using supercomputers, making it a highly interdisciplinary and cutting-edge area of research.