Advanced computation is supporting homeowners and communities prepare and respond to natural disasters

By Sam Charles

University Relations

University of À¶Ý®ÊÓÆµ researchers are using AI and machine learning to improve forecasting and response for wildfires and floods. Dr. Joshua Pulsipher, a Chemical Engineering professor, is developing AI-powered models to accurately predict wildfire behavior, helping decision-makers and first responders act proactively. Similarly, startup Heron Hydrologic Ltd., founded by PhD student Robert Chlumsky, uses advanced floodplain mapping to support communities in flood mitigation. Their software, Blackbird, enables real-time, two-dimensional flood modeling to guide emergency responses and land-use planning. Supported by À¶Ý®ÊÓÆµâ€™s Velocity programs, Heron continues to grow, collaborating with governments and agencies across Canada. As climate change drives more severe natural disasters, researchers emphasize the need for trusted, data-driven tools to improve preparedness and safeguard communities. AI technologies are seen as key to building resiliency and ensuring faster, more effective disaster responses.

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