Project Grant 2210664
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $249,999 Project Grant to Trustees of Boston University to develop an innovative approach to change-point and anomaly detection using satellite data. The research aims to address challenges in tracking deforestation, degradation, and forest regrowth by leveraging new mathematical frameworks and artificial intelligence techniques. The project will explore applications in areas such as human migration, climate...
- Federal Project Grant Award Summary Boston University received a $600,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. The award supports research focused on advancing long-wave infrared (LWIR) computational sensing capabilities beyond conventional thermal imaging applications. The primary...
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded Boston University $410,837 under the Geosciences Program (CFDA 47.050) for a collaborative research project running from January 1, 2026 through December 31, 2028. This project develops and evaluates machine learning-based climate emulators designed to improve upon traditional physics-based climate models by extracting statistical relationships from observational data and simulation outputs....
- Federal Project Grant Award Summary The Trustees of Boston University received a $597,424 Project Grant award from the National Science Foundation's (NSF) Office of Integrative Activities under the Geosciences program (CFDA 47.050) on October 1, 2025, with completion scheduled for September 30, 2028. This collaborative research initiative, titled "Unveiling Hidden Dynamics of the Auroral Ionosphere Using AI-Based Sensor Fusion," addresses the impact of Earth's ionized outer...
- This $170,000 Project Grant awarded by the National Science Foundation (NSF) Division of Mathematical Sciences supports research on developing randomized algorithms for solving inverse problems and quantifying uncertainty in hierarchical Bayesian and dynamical inverse problems. Key goals include: (i) creating efficient algorithms to estimate uncertainty in the hyperparameters that govern Bayesian inverse problems, and (ii) developing new iterative methods leveraging randomization to...
- The Trustees of Boston University were awarded a $500,000 Project Grant from the National Science Foundation to conduct studies of atmospheric processes using imaging science techniques from April 1, 2021 through March 31, 2022. The grant was awarded under the Geosciences program (CFDA 47.050), which supports basic research to expand understanding of the integrated Earth system through atmospheric, earth, and ocean sciences. Specifically, the funding will support the awardee's analysis of...
- 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...
- The National Science Foundation (NSF) awarded a $253,946 Project Grant to the University of Florida (UF) under the Geosciences program (CFDA 47.050) to enhance the accessibility of novel geostatistical inversion workflows for cryosphere research. The project aims to create freely available geostatistics software with novel methods for combining physical and statistical information to enable fast, scalable simulations that account for spatial and physical constraints. This software will be...
- This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) award of $281,057 to The Trustees of Princeton University, awarded on January 1, 2025, will fund a project to explore the concept of "depth sensitive thermography" (DST) for mapping atmospheric temperatures over large scales. The project aims to develop a novel 3D temperature profiling technique that utilizes the atmosphere's varying opacity across thermal infrared wavelengths, with the goal of enabling more...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on inverse boundary value problems and related mathematical techniques. The key research areas include: Electrical impedance tomography (EIT) for determining the conductivity of materials by making voltage and current measurements at the boundary. The research will address challenges in EIT such as partial data, anisotropic...
This National Science Foundation Project Grant of $730,524 will fund the development of new statistical methods for computer-assisted inversion to improve analysis of global remote sensing data from July 2022 to June 2025. Under the Mathematical and Physical Sciences program (CFDA 47.049), Trustees of Boston University will receive funding to advance the transformation of satellite-based remotely sensed data into useful climate and geophysical information. Specifically, the grantee will develop a Bayesian framework combining algorithm unrolling deep learning models, a forward computer code, and a transfer learning approach to combine the learned inversion map with ground measurements. This aims to more accurately solve some highly non-trivial radiative transfer inverse problems at a more local level and adjust the inversion procedure over time as satellite data distributions change. Outcomes are expected to bridge remote sensing, machine learning, and statistics while improving analysis of remote sensing data applications for climate change.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $365.3k | 6/16/22 |