Project Grant 2507057
- This $169,235 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to create a multimodal embodied training platform that will advance fire investigation practices by enhancing the spatial-temporal reasoning skills of investigators. The project will incorporate AI-driven, physics-informed 3D fire modeling to dynamically generate and visualize fire scenarios, enabling investigators to identify and...
- The National Science Foundation (NSF) awarded a $539,673 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Maryland, College Park. The grant project aims to create a multimodal, embodied training platform that advances fire investigation practices through adaptive deliberate practice and learning analytics, focusing on the spatial-temporal reasoning skills needed to reconstruct fire development from observed fire damage and...
- This Project Grant award from the National Science Foundation's Biological Sciences Program (CFDA 47.074) will develop an advanced Artificial Intelligence (AI) and Machine Learning (ML) framework to improve the understanding and prediction of wildland fires. The $867,245 grant, awarded to American University, will integrate multimodal geoscientific data from various platforms to create a comprehensive dataset for wildland fire detection and forecasting. The research team will address key...
- This $989,332 Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop an advanced artificial intelligence (AI) and machine learning (ML) framework to improve understanding and prediction of wildland fires. The University of Maryland, College Park will integrate multimodal geoscientific data, such as satellite observations, to create a comprehensive dataset for detecting and forecasting wildland fires. The research aims to address...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,828 to Gforce Animation Inc. aims to revolutionize firefighter training through the development of a virtual reality (VR) environment that mirrors real-world fire scenarios. The project will create an immersive VR training program that allows firefighters to interact with digital fire equipment, reducing the costs, safety risks, and environmental impact of traditional...
- This federal Project Grant award, totaling $101,562, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award will fund the development of the LA Fire Knowledge Graph-Agent (LAFIREKG-Agent) platform, an autonomous, end-to-end large language model-based framework designed to enhance situational awareness and support rapid decision-making, predictive modeling, and complex reasoning for wildfire risk...
- This $389,332 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop improved computer models and simulation tools to better predict how wildfires spread in areas where forests and natural areas meet cities and towns, known as the wildland-urban interface (WUI). The key objectives are to: 1) Gain a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local...
- This $390,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to improve the understanding and modeling of fire spread in the wildland-urban interface (WUI), where forests and natural areas meet cities and towns. The key objectives are to: Develop a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local scale. Investigate how these localized interactions influence...
- The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
- This $599,974 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund the creation of a physics-based computational model for predicting structural ignition risks from wildfires at the University of Michigan from January 2023 through December 2025. The model will simulate ignition from firebrands on structures using a probabilistic multiphase Eulerian approach for transport and the discrete element method for firebrand fracture and mass loss. It will be...
This $189,881 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the creation of a multimodal embodied training platform to advance fire investigation practices. The 3-year project, awarded to Lehigh University, aims to develop an AI-driven, physics-informed 3D fire modeling system to help fire investigators develop crucial spatial-temporal reasoning skills needed to accurately reconstruct fire origins and causes. The training platform will enable learners to identify and analyze fire damage, reconstruct fire progression, and explore variations in fire dynamics, ultimately improving the quality and effectiveness of fire investigation practices. This research has potential applications beyond fire investigations, such as in crime scene analysis and other STEM fields requiring advanced spatial-temporal reasoning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $189.9k | 8/20/25 |