Project Grant 80NSSC22K1885

This Cooperative Agreement award from the National Aeronautics and Space Administration (NASA) under the Office of STEM Engagement (OSTEM) program (CFDA 43.008) provides $100,000.00 for the development of a compact, non-invasive, and efficient vision screening system for long-term spaceflight missions. The research aims to evaluate a novel framework enabled by artificial intelligence (AI) and virtual reality (VR) as a proof-of-concept, robust, low-cost system for detecting visual deficits caused...

Under a $717,310 Project Grant awarded by the National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences, the University of Miami Rosenstiel School of Marine and Atmospheric Science will conduct research on using satellite imagery to study internal gravity waves in the atmosphere. The project aims to develop and automate image processing algorithms to measure and characterize the properties of these waves, which can modulate cloud formation and impact Earth's heat budget....

This $624,379 Project Grant award from the National Eye Institute (CFDA 93.867 Vision Research) aims to develop an objective tool for evaluating the visual accessibility of indoor spaces. The research will produce a smartphone app that uses computer vision algorithms, RGB cameras, and LIDAR sensing to 1) visualize environments for different levels of vision impairment, 2) identify hazardous features, and 3) generate visibility metrics. The tool will be validated in controlled lab settings and...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enhance computer vision and object recognition capabilities. The $299,964 award, effective September 1, 2024 through August 31, 2027, supports research to develop deep learning frameworks that can better comprehend the configuration and relationships of object parts within images and 3D data. Key products and services to be delivered include:...

This $306,464 Project Grant awarded by the National Science Foundation's (NSF) Division of Astronomical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) funds the development of DECIPHER, a machine learning tool that automatically detects and measures the mass of forming exoplanets in protoplanetary disks from observational data. The project aims to increase the speed and accessibility of exoplanet detection and characterization, making this analysis available to...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $496,895 over a 3-year period starting September 1, 2024 to develop a unified framework for simplifying and automating the development, optimization, and adaptation of video analytics pipeline (VAP) applications. The key products and services to be delivered under this grant include: A framework that enables domain experts to specify...

This National Science Foundation (NSF) Project Grant award under CFDA 47.041 (Engineering) provides $600,000 in funding to Embry-Riddle Aeronautical University, Inc. to conduct research on leveraging light-matter interactions to create new functional sensors for use in low-gravity space environments. The key objectives of this 3-year project are to investigate the effects of microgravity on the processing and properties of ceramic nanocomposite materials, and to utilize this understanding to...

This National Science Foundation Project Grant under the Computer and Information Science and Engineering program ($149,995) supports research at Arizona State University from April 2023 through March 2026 to develop a generalizable motion field estimator using neural networks for enhanced long-range imaging computer vision applications. The award aims to address deteriorated performance of data-driven computer vision approaches when images are captured from long distances, such as with unmanned...

This $299,997 Project Grant awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the CFDA 47.070 Computer and Information Science and Engineering program supports the development of free and open-source software and a web interface for extracting high-precision brightness measurements of stars from citizen scientist observations collected with color digital cameras. The project aims to greatly expand the pool of citizen scientists able to contribute to...

This $429,883 Project Grant award from the National Eye Institute (NEI), under the Vision Research program (CFDA 93.867), aims to characterize the neural computations in visual cortical area V4 that process dynamic visual scenes. The project, led by Principal Investigator Matthew Smith at Carnegie Mellon University, involves building a computational model to predict and interrogate the temporal responses of V4 neurons to natural video clips. The research will combine experimental data collection...