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Students in the College of Information Sciences and Technology have developed a computer model that could help classify images of disaster scenes, such as a flood, to aid emergency response. Image: Vladimir Melnikov - Adobe Stock
In the Media

Building an image classifier to aid in disaster response

July 30, 2020
Penn State News
An image of a person (only their hands are shown) using a sewing machine to sew a blue surgical mask.

Steady demand for PPE may encourage local businesses to start up production

June 8, 2020
a photo of two N95 masks

Tests verify if uncertified N95 masks are effective

May 7, 2020
A photo of a lidar map ofa 400 sq mile area, with roads highlighted red, the ground blue, and a navigational route is green.

With lidar and AI, road status clears up after a disaster

April 13, 2020
A screenshot of a website showing a google map of North Macedonia with Red Cross symbols placed throughout to signify their locations. A panel on left hand side provides info about how to contact these locations.

Emergency-coordination system supports COVID-19 response

April 2, 2020
Photo of two men talking into microphones at a press conference

North Macedonia adopts NICS crisis management system

August 19, 2019
Screenshot of the HURREVAC application during Hurricane Florence.
In the Media

S&T-funded innovation enables emergency managers to excel during 2018 hurricane season

April 16, 2019
DHS S&T
A photo of a large truck picking up debris lining a street

Lidar scans over the Carolinas accelerate hurricane recovery

December 13, 2018
A group of about 30 people pose in front of an airplane

Lincoln Laboratory team uses lidar to assess damage in Puerto Rico

August 30, 2018
The NICS mobile app allowed users on scene to input real-time information while also monitoring information from commanders or other responders. Photo courtesy of DHS S&T

Emergency-response system supports NATO exercise in Southeast Europe

March 29, 2018
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