Project Grant 2450987
- This Project Grant award of $160,000.00 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support collaborative research to develop new analytical and computational methods for spectral image fusion of unregistered remote sensing data. The project aims to establish a rigorous theoretical and algorithmic foundation for integrating high-resolution hyperspectral and multispectral imagery, even when the data are spatially misaligned due to differences in sensors...
- This federal Project Grant award of $250,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research to reconstruct high-resolution images from low-frequency Fourier data. The project aims to leverage prior mathematical information to dramatically improve the resolution of images containing distinct types of materials, such as in scientific imaging, medical scans, and security screenings. The research will focus on developing...
- The National Science Foundation (NSF) awarded a $343,340 Project Grant under the Engineering program (CFDA 47.041) to North Carolina State University (NC State) to develop an innovative, adaptive, and resource-efficient sensing system. The project aims to jointly optimize the data acquisition, reconstruction, and inference stages of sensing systems through a learning-based, physics-aware framework. The key objectives include: (1) developing learning-based signal reconstruction techniques, (2)...
- This federal Project Grant award of $300,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support the "HS-SPECTRA" (Hyperspectral Standardizing and Sharing Possibilities for Urban Conditions through Toolkits, Resources and Archiving) project at New York University (NYU). The project aims to address fundamental challenges in hyperspectral library design for urban material identification by: 1) developing a metadata architecture for longitudinal urban...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant to Arizona State University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 1, 2024. The grant supports a 3-year collaborative research project to develop novel hardware platforms and algorithms for fusing optical and ultrasonic sensors to enhance computer vision and computational imaging capabilities. The key products and services to be delivered include: New rendering...
- This federal Project Grant award of $200,000 from the National Science Foundation's Engineering program (CFDA 47.041) aims to enhance the reliability and robustness of snapshot compressive imaging (SCI) systems. The primary objective is to develop a versatile bilevel optimization framework to study uncertainties in hybrid models that combine physical optics and deep learning algorithms for SCI. The research focuses on modeling mask, weight, and data uncertainties to establish the computational...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $275,000 Project Grant to Princeton University for collaborative research titled "META-OPTICAL COMPUTATIONAL IMAGE SENSORS." The three-year award, made on August 1, 2021 under the Engineering (47.041) program, will support the development of meta-optical computational image sensors through July 31, 2024. The Engineering program aims to improve quality of life and economic strength by...
- This federal Project Grant award of $239,420.00 from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to advance statistical methods for analyzing complex spatial data. The investigators at the Colorado School of Mines aim to develop novel frequency domain resampling techniques that can effectively handle irregularly spaced spatial data, a common challenge in fields like geosciences and environmental science. The new methods will...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) project grant awarded $644,407 to the Regents of the University of Michigan on October 15, 2025, with a completion date of September 30, 2028. The project aims to develop an ultra-compact, chip-scale spectrometer with high reconstruction accuracy through the integrated co-design of hardware and modern machine learning algorithms. The key objectives are to: (i) develop device-informed simulation-to-real in-context learning...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under CFDA 47.041 (Engineering) to Michigan State University (MSU) with a period of performance from September 1, 2025 to August 31, 2028. This research project aims to develop improved methods for tomographic imaging reconstruction and acquisition using novel combinations of conventional physical models and AI-based models. The key objective is to generate quantitatively accurate and reproducible images from current...
The National Science Foundation (NSF) awarded a $320,000 Project Grant under the Engineering program (CFDA 47.041) to Oregon State University (OSU) for the project "Collaborative Research: Unregistered Spectral Image Fusion in Remote Sensing: Foundations and Algorithms." The project, running from September 1, 2025 to August 31, 2028, aims to develop new analytical and computational methods to establish a theoretical and algorithmic foundation for fusing unregistered spectral data, such as hyperspectral and multispectral remote sensing images. This research is expected to benefit applications across fields like remote sensing, medical imaging, and machine learning by enabling performance-guaranteed fusion of spatially misaligned spectral data. The project will also provide undergraduate research opportunities, training students in relevant machine learning and signal processing techniques.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $320.0k | 8/19/25 |