# Collaborative Research: CPS-FR: A Control-Theoretic Framework for Reliable and Robust Deep Neural Networks with Application to Space CPS

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | Georgia Tech Research Corporation |
| Location | ATLANTA, GA |
| Project | Collaborative Research: CPS-FR: A Control-Theoretic Framework for Reliable and Robust Deep Neural Networks with Application to Space CPS |
| Award amount | $360,000 |
| Obligated so far | $360,000 |
| Awarded | 2026-08-11 |
| Period | 2026-08-15 to 2029-07-31 |
| Program | CPS-Cyber-Physical Systems |
| Directorate / division | CSE / CPIS |
| Award ID | 2551281 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2551281). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.