This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award of $458,784 to Lehigh University aims to enhance disaster response and recovery capabilities by improving machine learning and autonomous systems for rapid damage assessment. The project will develop physics-informed machine learning models to integrate physical principles with data-driven approaches, creating a unified model to capture complex interactions among disaster factors. This will improve hazard modeling and its integration with post-disaster assessments to enhance real-time decision-making in the aftermath of natural disasters such as hurricanes, wildfires, and floods. The research also seeks to contribute to workforce development through new curricula, workshops, and training programs. The project is scheduled for completion by May 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $458.8k | 6/10/25 |