FSU Wins $2.3M NSF Grant to Strengthen Wildfire Management in Hurricane-Prone Areas

Florida State University researchers have received a $2.3 million National Science Foundation grant, the largest ever for FSU’s Department of Computer Science, to build AI-powered tools for managing wildfires in hurricane-prone regions like the Florida Panhandle.

Led by Assistant Professor Yushun Dong, the project “FIRE: An Integrated AI System Tackling the Full Lifecycle of Wildfires in Hurricane-Prone Regions” will unite computer scientists, engineers, and fire researchers to:

  • Forecast wildfire ignition.

  • Predict roadway disruptions.

  • Estimate conditions and assess potential damage.

The work targets the wildland-urban interface, where forests meet homes, roads, and infrastructure. Hurricanes often leave massive tree debris that can fuel complex, dangerous wildfires, making this research crucial for community safety.

The project is part of NSF’s Fire Science Innovations through Research and Education (FIRE) program, which funds large-scale, interdisciplinary research into wildfire dynamics. FSU now leads two of the four FIRE-funded projects nationwide.

The grant also supports educational initiatives in AI and disaster resilience, helping train the next generation of scientists at the intersection of AI, climate hazards, and community protection.

Full article in link here. 

Submitted by Jason Gigax on
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