Project Grant 2410698

Award Date 7/1/24
Completion Date 6/30/27
Dollars Obligated $163K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Somerville, MA 02144, USA
Similar Awards
This $162,490 federal Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences will fund collaborative research at Virginia Polytechnic Institute & State University (Virginia Tech) to develop advanced, memory-efficient algorithms and solvers for high-dimensional imaging applications such as medical imaging and video compression. The project aims to achieve significant improvements over existing state-of-the-art methods by leveraging data properties...
This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $183,980 to support research on the theoretical and algorithmic foundations of novel medical imaging modalities at the University of Arizona. The research aims to advance the underlying mathematics and image reconstruction algorithms for emerging modalities like photoacoustic tomography, magnetoacoustoelectric tomography, and ultrasound current density imaging....
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 $275,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences supports the development of novel approaches to solving inverse problems. The goal is to enhance the accuracy and efficiency of computational methods used in critical applications like electrical impedance tomography, inverse scattering, and cryo-electron microscopy. This research has the potential to accelerate breakthroughs in molecular biology and rapid drug development, directly...
This $200,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support the development of analytic and numerical methods for emerging tomography techniques at North Carolina State University from August 1, 2022 to July 31, 2025. Specifically, the awardee will address mathematical problems arising from multi-energy computed tomography (MECT) and Compton camera imaging (CCI) to advance these promising medical imaging methods. For...
This $800,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of innovative snapshot computational imaging systems that leverage metaoptics technology. The project, led by Dartmouth College, aims to create computational camera simulators capable of modeling the complex interactions of light across various dimensions, and to leverage these tools to design and build...
This National Science Foundation project grant of $199,968 supports collaborative research at Tufts University from September 2022 through August 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The research aims to advance theory and computation for structured sensing problems involving low-rank matrix recovery from deterministically structured measurements. Specifically, the project will study scalable non-convex optimization methods for generalized matrix completion...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $558,594 to the University of South Florida (USF) for a project titled "CAREER: INFORMATION-ORTHOGONAL REPRESENTATIONS IN COMPUTATIONAL IMAGING". The project aims to develop new mathematical tools and frameworks for optimizing the performance of computational imaging systems, which combine optical hardware and computational...
The National Science Foundation Division of Computing and Communication Foundations awarded a $213,372 Project Grant to Rutgers, The State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of a theoretical framework for the design and analysis of snapshot compressive imaging systems to efficiently capture 3D data cubes such as hyperspectral images or video files from a single 2D measurement. The...
This $239,068 Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program, supports research on geometric harmonic analysis and advances in Radon-like transforms at the University of Pennsylvania. The funded work focuses on developing new mathematical techniques and theoretical understanding related to Radon-like geometric averages and their applications in areas such as CT, SPECT, NMR imaging, radar, and sonar. Key goals...

This $162,510 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences will fund collaborative research at Tufts University to develop innovative, memory-efficient algorithms for high-dimensional imaging applications such as medical imaging, object inspection, and video surveillance. The key products will be accelerated reconstruction and compression techniques that can process large volumes of multi-dimensional imaging data in real-time while using limited computational resources and memory. The work aims to significantly advance the state-of-the-art in areas like edge-preserving image reconstruction and tensor-based data compression, with potential applications ranging from anomaly detection in medical scans to improved image/video processing for national security. The 3-year project will also provide training opportunities for graduate students. No sub-awards are planned under this grant, which was awarded on Jul 1, 2024 under the NSF's Mathematical and Physical Sciences (CFDA 47.049) program.

Generated 3/4/25, 8:05 AM