Project Grant 2553144
- Federal Grant Award Summary The University of Texas at Arlington received a $199,993 Project Grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041) for a Rapid Response (RAPID) research initiative. Awarded on April 15, 2025, with a completion date of March 31, 2026, this project addresses water quality dynamics following the 2025 Los Angeles wildfires through the establishment of a...
- Federal Grant Award Summary East Texas A&M University received a $198,583 Engineering Research Initiation (ERI) grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems (CFDA 47.041) effective October 1, 2025, through September 30, 2027. The project deliverables focus on developing a deep analytics framework for validating unmanned aerial vehicle (UAV) location integrity and awareness through trajectory-based analysis using machine learning....
- Federal Grant Award Summary Texas State University received a $199,612 Project Grant award from the National Science Foundation's Directorate for Engineering (CFDA 47.041) on July 15, 2026, with a completion date of June 30, 2028. The project develops a multimodal deep learning framework for point cloud quality assessment (PCQA) to enable automated evaluation of the visual quality of three-dimensional volumetric video content in immersive virtual reality (VR) environments. The primary...
- Federal Grant Award Summary Texas A&M University received a $192,286 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (Engineering program, CFDA 47.041) effective September 1, 2025 through August 31, 2028. This collaborative research initiative develops an adaptive human-robot collaboration framework designed to enhance worker-robot synergy in dynamic industrial environments such as construction and manufacturing. The project...
- Federal Grant Award Summary Florida International University received a $200,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), awarded February 1, 2026, with completion scheduled for January 31, 2029. This collaborative research project develops artificial intelligence (AI) and machine learning methods to enhance the management of urban water and wastewater...
- Federal Grant Award Summary Award Details: Texas A&M University-Corpus Christi received a $479,064 Project Grant from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award period runs from August 1, 2025, through July 31, 2028. Products and Services: The funded REU (Research Experiences for Undergraduates) Site provides a ten-week summer research experience annually...
- Federal Grant Award Summary The University of Texas Rio Grande Valley received a $200,000 Project Grant from the National Science Foundation (NSF) Directorate for Engineering under CFDA 47.041 (Engineering), awarded February 1, 2026 and completing January 31, 2028. This Early Career Development (ERI) award funds multiscale computational modeling research examining tidal flow interactions with offshore monopiles and associated seabed sediment dispersion. The primary deliverables include...
- Federal Grant Award Summary Texas A&M University received a $233,887 Project Grant from the National Science Foundation's Division of Earth Sciences (CFDA 47.050, Geosciences Program) awarded on June 15, 2025, with a completion date of May 31, 2028. This collaborative research project develops novel numerical and computational modeling approaches to understand how human engineering decisions influence delta morphodynamics and landscape evolution across centuries. The research integrates...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Directorate for Engineering awarded $539,325 to the University of Houston System on March 1, 2026, under CFDA 47.041 (Engineering) to conduct research on bio-inspired locomotion that exploits environmental flow complexity. The five-year project, scheduled for completion on February 28, 2031, will deliver mathematical models, computer simulations, and experimental data demonstrating how underwater and aerial vehicles can...
- Federal Grant Award Summary Texas A&M Engineering Experiment Station received a $500,000 Project Grant awarded August 1, 2025, by the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041). The award supports the establishment and operation of IN2WIBE 2.0 (International Network of Networks for Well-Being in the Built Environment 2.0), an interdisciplinary network designed to advance research at the intersection of...
Award Details: Texas A&M International University received a $200,000 Project Grant from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) on July 15, 2026, with completion targeted for June 30, 2028. The award supports the development of an integrated unmanned aerial vehicle (UAV)-enabled framework for autonomous water sampling and continuous water quality monitoring of drinking water sources. Products and Services: The project will deliver a next-generation environmental monitoring system that combines UAV-based water sampling with ground-based monitoring networks and artificial intelligence analytics. The system will deploy custom water-sampling payloads on UAV platforms to conduct multi-point sampling across strategically selected locations, integrate flight-derived measurements with laboratory results and hydrological data, and apply machine learning models to generate real-time water quality estimates, long-term trend indicators, and cumulative pollutant load assessments. These outputs will provide regulators with spatially and temporally resolved intelligence to support water quality management decisions. Additionally, the project will deliver workforce development and STEM education components, providing students with hands-on training in automated system design, field experiments, laboratory methods, and data analysis to build engineering problem-solving capabilities.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/9/26 |