Leveraging Digital Twin Technologies for AI based Flood Risk Management - CSR Seminar

On Wednesday the 6th of May, Alireza Niknam Khajepasha will give a seminar at Karlstad University. Alireza is a visiting PhD student in Geomatics within the MIRAI network during the period April–August and is normally based at Hiroshima University.

The seminar, focusing on a real‑time AI‑powered Digital Twin framework for community‑scale flood risk management, will take place in RiskLab (21a259) and will start at 13:30 and continue until approximately 14:15. The seminar will be held in English and is open to all. Participants are welcome to stay after the presentation for continued discussions, and coffee will be served. 

In his seminar, Alireza will address how climate change, rapid urbanization, and changing land‑use patterns are increasing the frequency and severity of urban flooding, while highlighting the limitations of conventional flood risk assessments based on static assumptions and isolated hydrological models. He will present a Digital Twin framework that integrates machine learning, agent‑based modeling, and reinforcement learning, using Hiroshima Prefecture in Japan as a case study. The framework combines multi‑source data, real‑time inundation mapping, simulations of human decision‑making, and adaptive evacuation strategies within a single interactive digital environment. By coupling physical flood dynamics with human behavior in real time, the seminar demonstrates how AI‑driven Digital Twins can support disaster preparedness, emergency response, and adaptive infrastructure planning in urban areas facing increasing flood risks.