This National Science Foundation grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $370,440 to the Illinois Institute of Technology (IIT) for a 4-year collaborative research project titled "Towards Verified Robustness and Safety in Power System-Informed Neural Networks." The project aims to enhance the security and reliability of power systems by optimizing neural network verification techniques tailored to the characteristics of modern power grids. Key research thrusts include extending neural network verifiers to topology-aware power systems, incorporating power system constraints into verifier effectiveness, and developing specialized verifiers for power system planning and sensitivity analysis. This work seeks to provide power grid operators with robust, dependable tools for managing the power system, while also supporting education and research initiatives in machine learning and power systems at the bachelor's and master's level. No sub-awards are planned under this award.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $370.4k | 8/30/23 |