CAREER: Deep Learning-Enabled SERS Sensors for Next-Generation Drinking Water Monitoring — NSF Award to University of Wisconsin-Ma
Maintaining safe drinking water requires detecting trace-level amounts of harmful contaminants quickly. However, many water systems use laboratory tests that are slow and expensive. This CAREER project will create a faster, low-cost way to check drinking water for harmful chemicals by combining a chemical sensor with a
| Award title | CAREER: Deep Learning-Enabled SERS Sensors for Next-Generation Drinking Water Monitoring |
|---|---|
| Award ID | 2543927 |
| Awardee | University of Wisconsin-Madison |
| City | MADISON |
| State | WI |
| Amount obligated | $550,000 |
| Principal investigator | Haoran Wei |
| Program | EnvE-Environmental Engineering |
| Start date | 07/01/2026 |
| Abstract | Maintaining safe drinking water requires detecting trace-level amounts of harmful contaminants quickly. However, many water systems use laboratory tests that are slow and expensive. This CAREER project will create a faster, low-cost way to check drinking water for harmful chemicals by combining a chemical sensor with artificial intelligence (AI). The project will use a method that measures how light is scattered from chemicals attached to a surface. Each chemical generates its own pattern, like |
| Source | NSF Awards |
$799/mo
Try NSFGrants →