A team of UB researchers have conducted one of the most extensive evaluations to date of artificial intelligence-based deep learning models for predicting wildfire spread. 

Evaluation of deep learning tools underscores strengths, limitations and opportunities for next‑generation hybrid modeling.

The Architect’s Newspaper mentioned that Negar Elhami-Khorasani  will serve on the jury for the SOM Foundation’s 2025 Structural Engineering Fellowship.

Phys.org reported that a team of scientists, including Negar Elhami-Khorasani, have successfully applied a pair of advanced computer models to simulate last year’s wildfire in Lahaina, Hawaii. 

Interdisciplinary team to combine AI, high-performance computing and modeling to better understand Lahaina fire; reduce likelihood of future disasters.

With more buildings affected by sea level rise, NSF awards $2 million to UB researchers and partners to assess at-risk communities in Hawai’i, elsewhere.

ABC News quoted Negar Elhami-Khorasani in an article about how the Canadian wildfire dangers should prompt more action from the government.