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Center for Nonlinear Studies |
Emergency response to incidents such as accidents, crimes, and wildfires is a major problem faced by communities. Emergency response management comprises of several stages and sub-problems like forecasting, resource allocation, and dispatch. The design of principled approaches to tackle each problem is necessary to create efficient emergency response management (ERM) pipelines. This talk will go through the design of principled decision-theoretic and data-driven approaches to tackle emergency incidents. It will discuss how large multi-agent systems can be used to tackle emergency scenarios under dynamic environments and communication and state uncertainty. As case studies, we will specifically look at emergency incidents like wildfires and road accidents.
Host: Deepjyoti Deka