51��Ʒ��Ƶ

Industrial engineer and professor at the 51��Ʒ��Ƶ’s will collaborate with researchers at Texas A&M University on a project that will help .

Using advanced decision-making methods such as mixed-integer optimization and simulation the project will provide a of what types of fuel treatment options would be most effective and when to implement them.

“One strategy for mitigating forest fires is fuel treatment, which involves strategically removing some of the vegetation—the ‘fuel’ for the fire—with controlled burns, grazing or mechanical thinning,” said Prokopyev. “Our models will help predict when, where and how to best implement these methods.”

The project is expected to last three years and is funded by a $550,000 grant from the National Science Foundation. Of the total amount, $270,000 is designated for 51��Ʒ��Ƶ.