CAREER: Learning to Sense: Joint Learning of Task Oriented Cognitive Sensing with Data Dri — NSF Award to North Carolina State Uni
Sensors are an indispensable part of our lives, assisting society’s transportation, health, safety, and communication needs. Conventional sensing approaches acquire data in a fixed fashion, independent of the task for which the data is being utilized. In addition, each of data acquisition, reconstruction and inference
| Award title | CAREER: Learning to Sense: Joint Learning of Task Oriented Cognitive Sensing with Data Dri |
|---|---|
| Award ID | 2534621 |
| Awardee | North Carolina State University |
| City | RALEIGH |
| State | NC |
| Amount obligated | $343,340 |
| Principal investigator | Ali Gurbuz |
| Program | CSCS: Circuits and Systems for |
| Start date | 06/01/2025 |
| Abstract | Sensors are an indispensable part of our lives, assisting society’s transportation, health, safety, and communication needs. Conventional sensing approaches acquire data in a fixed fashion, independent of the task for which the data is being utilized. In addition, each of data acquisition, reconstruction and inference blocks in the data processing pipeline is independent of one another and optimized separately. This approach has led to exponential rates of data generation that creates an unbeara |
| Source | NSF Awards |
$799/mo
Try NSFGrants →