EPSCoR Research Fellows: NSF: Building a Reliable and Transparent Predictive Condition Mon — NSF Award to Mississippi State Univer
This EPSCoR Research Fellowship project aims to establish a sustainable interdisciplinary collaboration between the lead researcher's renewable energy condition monitoring group at Mississippi State University and Professor Yelena Yesha’s artificial intelligence (AI) and distributed systems cybersecurity group at the U
| Award title | EPSCoR Research Fellows: NSF: Building a Reliable and Transparent Predictive Condition Mon |
|---|---|
| Award ID | 2429540 |
| Awardee | Mississippi State University |
| City | MISSISSIPPI STATE |
| State | MS |
| Amount obligated | $300,000 |
| Principal investigator | Gang Li |
| Program | EPSCoR RII: EPSCoR Research Fe |
| Start date | 01/01/2025 |
| Abstract | This EPSCoR Research Fellowship project aims to establish a sustainable interdisciplinary collaboration between the lead researcher's renewable energy condition monitoring group at Mississippi State University and Professor Yelena Yesha’s artificial intelligence (AI) and distributed systems cybersecurity group at the University of Miami. The project focuses on revolutionizing the management and operation of distributed wind systems (DWSs). DWSs are wind turbines of varying scales increasingly de |
| Source | NSF Awards |
$799/mo
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