Project Grant 2437371
- 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...
- This Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), provides $457,500 to Trustees of Boston University from October 1, 2022 to September 30, 2025. The funding supports research to develop new classes of photodetectors based on metasurface nanophotonics technology. This aims to enable advanced computational imaging capabilities beyond traditional sensors, such as producing focused...
- 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...
- The National Science Foundation (NSF) awarded a $240,000 Project Grant under the Engineering program (CFDA 47.041) to Trustees of Boston University. This 3-year grant, effective from October 1, 2025 to September 30, 2028, aims to introduce new concepts and algorithms that improve the performance of Frequency-Modulated Continuous-Wave (FMCW) LIDAR technology or maintain current performance while reducing hardware requirements. The research focuses on advancing FMCW LIDAR, which is used to...
- This $467,128 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of a novel mid-infrared retinomorphic vision system. The research seeks to realize sensor devices and in-sensor image processing capabilities inspired by the human retina, with the goal of addressing the speed and efficiency limitations of current high-frame rate camera technologies. Key objectives include developing field-effect gated reconfigurable...
- This Project Grant award of $600,000.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research on a new class of "weak 3D cameras" that can efficiently capture simplified geometric representations of environments for real-time applications. The project aims to develop compact, low-power 3D vision systems that can reliably operate in challenging real-world conditions, leveraging new geometric...
- This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $720,000 in funding to the University of the District of Columbia (UDC) to conduct research on using machine learning and deep learning algorithms for standoff detection of threat chemicals. The project aims to advance the computational techniques for distinguishing explosives and other illicit substances from benign background materials using infrared backscatter...
- This $242,763 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to open the infrared sky to multi-messenger astrophysics through time-domain surveys. The Massachusetts Institute of Technology will conduct infrared searches using the Wide-field Infrared Transient Explorer telescope at Palomar Observatory to identify counterparts to gravitational wave detections from binary neutron star and neutron...
- This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $300,000 in funding to the Massachusetts Institute of Technology (MIT) from November 15, 2024 to October 31, 2027. The award supports the development of machine learning-powered "surrogate models" to increase the computational speed and efficiency of geophysical models used for air pollution and climate research. Key project objectives include: Creating simplified,...
- This $325,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research at the Massachusetts Institute of Technology (MIT) to advance the understanding and predictive capabilities of two critical Earth system components: aerosol-cloud interactions and Arctic sea ice thermodynamics. The research will leverage artificial intelligence (AI) and a novel Ensemble Kalman Diffusion Guidance (ENKG) framework to learn from satellite...
This Project Grant award of $600,000.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research at Boston University to advance long-wave infrared (LWIR) sensing capabilities. The project aims to develop new computational methods to enable 3D imaging, air composition and temperature measurement using LWIR light, which can contribute to improved security, navigation, pollution monitoring, and aeronautical safety. The research will combine physics-based modeling with machine learning to address the inverse problems inherent in LWIR sensing. Key goals include improving passive ranging and demonstrating remote measurement of air temperature and gas concentrations. This award runs from October 1, 2025 through September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/15/25 |