Collaborative Research: eMB: Math-model Informed Neural Network (MINN) based on Emerging M — NSF Award to University of Connecticu
Currently, about half of the world’s population, about 4 billion people, live in areas with a risk of dengue infection, with further increased public health concerns due to recent evolutionary adaptation of dengue-transmitting mosquitoes to colder places. This project develops and uses mathematical models and computati
| Award title | Collaborative Research: eMB: Math-model Informed Neural Network (MINN) based on Emerging M |
|---|---|
| Award ID | 2527287 |
| Awardee | University of Connecticut |
| City | STORRS |
| State | CT |
| Amount obligated | $149,999 |
| Principal investigator | GUOJUN GAN |
| Program | MATHEMATICAL BIOLOGY |
| Start date | 09/01/2025 |
| Abstract | Currently, about half of the world’s population, about 4 billion people, live in areas with a risk of dengue infection, with further increased public health concerns due to recent evolutionary adaptation of dengue-transmitting mosquitoes to colder places. This project develops and uses mathematical models and computational methods, including the novel Math-model Informed Neural Networks (MINN) based on emerging mathematics in mosquito-dengue biology. Proper management guidelines, identified thro |
| Source | NSF Awards |
$799/mo
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