Project Grant W911NF1710530

This National Science Foundation project grant of $186,029 supports the development of tools to improve access and reuse of polar ice penetrating radar data. Funded under the Computer and Information Science and Engineering program, the University of Washington will create a plugin for the open-source mapping software QGIS to enable discovery, download, and visualization of georeferenced radar images. The tool will integrate a data layer showing known radar survey locations, color-coded by...

This National Science Foundation (NSF) Project Grant award to Rowan University, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $212,933 from September 1, 2023 to August 31, 2025 to develop and implement new robust and computationally efficient inversion algorithms for inverse medium scattering problems. The project aims to advance inverse scattering theory, which plays a key role in technologies such as medical imaging, geophysical exploration, and unexploded...

This $269,999 federal Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports research to develop novel inverse scattering techniques for complex materials with applications in areas such as renewable energy, medical diagnosis, underground exploration, infrastructure integrity, and advanced manufacturing. The primary objectives are to investigate non-iterative approaches for...

This National Science Foundation (NSF) Division of Mathematical Sciences grant award to Drexel University provides $270,000 over three years to develop new data-driven inversion methods and image reconstruction algorithms for nonlinear media with applications in radar, medical imaging, and optical design. The key innovations include using data to generate compact wave propagation models for efficient image reconstruction, expanding the applicability to large and noisy data sets, and developing...

This $250,000 two-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences Directorate (CFDA 47.049) funds research at Rochester Institute of Technology to develop direct variational methods for solving inverse problems governed by differential equation models using full-field data. Specifically, the award supports advancing the Direct Error in Constitutive Equations formulation for determining wave speed from time-harmonic wave field observations of a...

This three-year, $170,000 National Science Foundation Mathematical and Physical Sciences Project Grant will support research into new geometric inverse problems arising from seismology at North Carolina State University. The award seeks to advance the mathematical theory of seismology by posing and solving increasingly complex and realistic inverse problems modeling planetary interiors. Specifically, the grantee will investigate non-Riemannian travel time problems considering both complete and...

This National Science Foundation (NSF) Project Grant under the Engineering program (CFDA 47.041) provides $599,989 to the University of Tennessee at Chattanooga (UTC) to develop advanced subsurface sensing systems for real-time infrastructure monitoring and mapping. The 3-year award, effective September 1, 2024, will fund the creation of teams of autonomous ground penetrating radar (GPR) agents equipped with cognitive slant sensing capabilities. The research aims to enable faster and more...

This $270,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of California, Irvine (UC Irvine) to develop novel mathematical methods for investigating inverse problems related to the recovery of anisotropic medium parameters from measurements taken at the exterior or boundary. The project aims to leverage nonlocality, nonlinearity, and high frequencies as tools to tackle significant and...

This $249,924 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) supports the development of a long-lived, continuously operating seafloor geodesy reference station capable of operating in deep water. The grantee, Princeton University, will investigate using acoustic signals that only need to travel from the sea surface to the seafloor, removing the prior 3,000 meter depth limitation of existing seafloor geodesy techniques. This new approach involves...

Wolverine Radar Company received a $300,000 Project Grant award from the National Oceanic and Atmospheric Administration under the NOAA Small Business Innovation Research Program to develop impermeability monitoring solutions using synthetic aperture radar data. The company will compare impermeability scores for Ann Arbor, Michigan derived from publicly available Copernicus Sentinel-1 radar data to scores obtained from high-resolution aerial photography. While the radar data has lower resolution...