Project Grant 2513653
Award Date
7/1/25
Completion Date
6/30/28
Dollars Obligated
$250K
Federal Agency
Division of Mathematical Sciences
Awardee
Oberlin College (ZY4LY6PDKLM1)
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Oberlin, OH 44074, USA
Similar Awards
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...
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 $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....
The National Science Foundation Division of Mathematical Sciences awarded Saint Louis University a three-year Project Grant totaling $332,696 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant supports research into expanding the mathematical theory of phase retrieval and saturation recovery using techniques from frame theory, probability, and Banach space geometry. Key products include identifying the exact redundancy necessary for phase retrieval and...
This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program supports research at the interface of Fourier analysis and geometric measure theory. The $163,054 award to New York University, with a project period from April 2024 to August 2028, will explore connections between these two mathematical fields and their potential applications to other disciplines like dynamics and number theory. Key research components...
This Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on the connections between fractals and Fourier transforms. The $150,000 award to the San Jose State University Research Foundation will fund a 3-year research project to investigate topics such as the construction of fractal Salem sets, calculation of fractal Fourier dimensions, and the optimality of Fourier restriction on fractals....
This Project Grant from the National Science Foundation Division of Mathematical Sciences provides $303,127 under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Rochester from July 2022 through June 2025. The funding supports research using multilinear operators and microlocal analysis to improve non-invasive imaging modalities in electrical impedance tomography, synthetic aperture radar, and seismic imaging. Specifically, the investigator will work on four...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $558,594 to the University of South Florida to conduct research on computational imaging systems. The project aims to develop new mathematical tools and a framework for optimizing the performance of computational imaging systems, particularly in applications such as single-photon LIDAR, focused-beam microscopy, and imaging with no line of sight. The research...