Project Grant 2502050
- The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Engineering (CFDA 47.041) program to The Research Foundation for the State University of New York (RF-SUNY) at the University at Albany. The grant, titled "CCSS: Uncertainty-Aware Computational Imaging in the Wild: A Bayesian Deep Learning Approach in the Latent Space," aims to develop advanced Bayesian deep learning techniques for computational imaging systems that can effectively handle various...
- This federal Project Grant award of $173,777 was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program. The grant will support research at the Rochester Institute of Technology (RIT) to develop new general-purpose neural networks for image processing based on the principle of learning calibrated representations of images. The goal is to create more robust and reliable image processing applications that can effectively convey their own...
- The National Science Foundation (NSF) awarded a $381,347 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Regents of the University of California at Riverside. The grant funds a collaborative research project titled "ROBUSTNESS TO DISTRIBUTION SHIFTS IN COMPUTATIONAL IMAGING - INFERENCE, SAMPLING, AND ADAPTATION" from October 1, 2025 to September 30, 2029. The project aims to develop new methods to ensure deep...
- This is a National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program Project Grant award to the University of South Florida (USF) for $558,594.00 from Jul 1, 2025 to Jun 30, 2030. The project, titled "CAREER: INFORMATION-ORTHOGONAL REPRESENTATIONS IN COMPUTATIONAL IMAGING", aims to develop new mathematical tools and a framework to unlock the potential of computational imaging systems in applications such as single-photon LIDAR, focused-beam...
- 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 $424,999 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program aims to develop new super-resolution imaging methods that do not require controlling the source. The research team at the Stevens Institute of Technology will combine advanced physical models of imaging with artificial intelligence to resolve details of passive, uncontrollable objects in real-time. This work will push the boundaries of optical imaging and benefit fields...
- This Project Grant award, valued at $400,000, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award supports the development of innovative "snapshot computational imaging" systems that leverage recent advances in metaoptics, or optical devices using sub-wavelength nano-structures, to capture multidimensional information about light interactions with the world. The key objectives of this...
- This Project Grant award of $299,999.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to develop a novel learning-driven framework to mitigate artifacts produced by scientific data compressors. The project, led by Miami University, seeks to improve the integrity and quality of lossy-compressed scientific data, enabling more efficient data storage, transmission, and analytics across various scientific...
- This federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $376,744 to the Rochester Institute of Technology (RIT) to advance research in computational sensing for human-centered artificial intelligence (AI). The 3-year project, running from June 2025 to May 2028, aims to promote human-centered AI systems that are robust in noisy conditions where humans excel but AI typically struggles. The...
- 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...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Engineering program (CFDA 47.041) to the Rochester Institute of Technology (RIT) to develop a new uncertainty modeling framework for snapshot compressive imaging (SCI) technologies. The goal of this 2-year project is to enhance the reliability and robustness of SCI, which is a promising computational imaging technique with applications in hyperspectral imaging, video compression, microscopy, and security. The research aims to study uncertainties in the hybrid SCI system that combines optical encoding and algorithmic decoding, to address limitations stemming from imperfect hardware, algorithmic overfitting, and environmental noise. The project will support cutting-edge undergraduate and graduate research activities, as well as K-12 STEM education initiatives related to AI and imaging technologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/31/25 |