REU Site: Integrating Machine Learning and Causal Principles for Civil and Environmental E — NSF Award to Clemson University (SC,
Modern infrastructure faces unprecedented challenges due to urbanization and aging systems, which require innovative solutions that traditional engineering approaches alone cannot provide. This Research Experience for Undergraduates (REU) Site at Clemson University addresses a critical national need by training the nex
| Award title | REU Site: Integrating Machine Learning and Causal Principles for Civil and Environmental E |
|---|---|
| Award ID | 2447649 |
| Awardee | Clemson University |
| City | CLEMSON |
| State | SC |
| Amount obligated | $454,087 |
| Principal investigator | Mohannad Naser |
| Program | EWFD-Eng Workforce Development |
| Start date | 01/01/2026 |
| Abstract | Modern infrastructure faces unprecedented challenges due to urbanization and aging systems, which require innovative solutions that traditional engineering approaches alone cannot provide. This Research Experience for Undergraduates (REU) Site at Clemson University addresses a critical national need by training the next generation of civil and environmental engineers (CEE) to harness the power of machine learning (ML) and causal inference. The program will immerse 12 undergraduate students annua |
| Source | NSF Awards |
$799/mo
Try NSFGrants →