Project Grant 2625164
- Federal Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded a $600,000 Project Grant to the University of Texas at Dallas, effective October 1, 2025, through September 30, 2029. This collaborative research initiative develops semiconductor technologies and hardware architectures for wafer-scale sub-terahertz (sub-THz) reflectarray systems capable of electrical needle beam forming and steering. The primary deliverables include advanced device...
- Federal Project Grant Award Summary The University of Texas at Dallas received a $400,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective September 1, 2025 through August 31, 2028. This award funds research that develops novel satellite signal-based sensing methodologies leveraging Global Navigation Satellite System (GNSS) carrier-phase measurements to...
- Federal Grant Award Summary The University of Texas at Arlington received a $408,211 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective July 1, 2026 through June 30, 2031. This CAREER award supports the development of an artificial intelligence (AI)-driven integrated sensing, computing, and communication (ISC2) framework designed to enable...
- Federal Grant Award Summary The University of Texas at Arlington received a $364,952 Project Grant award from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on July 15, 2025, with a completion date of June 30, 2030. This CAREER award supports research to secure connected autonomous vehicle stacks against adversarial input by developing methods that protect both high-level...
- Federal Grant Award Summary The University of Texas at Arlington received a $341,039 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop advanced security mechanisms for drone-integrated Internet-of-Things (IoT) systems. Awarded on May 1, 2026, with a completion date of April 30, 2031, this CAREER award supports research on millimeter-wave (mmWave)...
- Federal Project Grant Award Summary The University of Texas at Dallas received a $447,363 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective October 1, 2025, through September 30, 2028. This award funds research to develop a closed-loop noise-cancellation technique for suppressing thermal noise (kT/C noise) in signal-sampling circuits. The primary deliverable is the design and...
- Federal Project Grant Award Summary The University of Texas at Dallas received a $399,158 Project Grant award effective September 1, 2025, through August 31, 2028, under the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), administered by the Division of Information and Intelligent Systems. The award supports research and development of a novel learning framework that enables robots to understand and execute object-centric...
- Federal Grant Award Summary The University of Texas at Dallas received a $193,567 Project Grant from the National Science Foundation's Office of Integrative Activities under the Geosciences Program (CFDA 47.050) for collaborative research on advanced artificial intelligence (AI) methods for geophysical imaging and subsurface monitoring. The award, effective January 1, 2026 through December 31, 2028, supports the development of a multi-task deep learning inversion framework that simultaneously...
- Federal Project Grant Award Summary The University of Texas at Austin received a $379,979 project grant award from the National Science Foundation's Division of Computer and Network Systems (CISE Program, CFDA 47.070) on July 15, 2025, to support the SMART (Spectrum-Data for Machine Learning and Analysis Through Robust Feature Transformations) project through June 30, 2028. This research initiative develops novel machine learning architectures to enhance access to radio frequency spectrum data...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Dallas a CAREER grant valued at $501,234 on May 1, 2026, under the Engineering program (CFDA 47.041). This five-year project, concluding April 30, 2031, supports fundamental research in amorphous oxide semiconductor (AOS) nanoelectronics for three-dimensional (3D) integrated computing systems. The primary deliverables include scientific...
The University of Texas at Dallas received a $299,741 Exploratory Research (EAGER) project grant awarded July 1, 2026, through the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The grant supports development of artificial intelligence methods enabling millimeter-wave radar sensors installed on vehicles to function as active components of cooperative wireless networks. The project will deliver AI-native algorithms that convert radar measurements into compact environmental summaries, prioritize critical information for urgent transmission, and efficiently communicate data across bandwidth-limited wireless links. The research will employ theoretical analysis, large-scale simulation, laboratory-scale testbed prototyping, and outdoor experimentation on national wireless research platforms to validate whether cooperative radar networking can extend perception beyond line of sight without requiring new sensing hardware, potentially improving roadway safety and informing future Cellular Vehicle-to-Everything (C-V2X) and 6G network design. The project execution period extends through June 30, 2028, with performance conducted in Richardson, Texas. The deliverables are expected to include validated methodologies for shared radar-based environmental understanding among connected vehicles and roadside infrastructure, addressing critical safety limitations of current vehicle perception systems by enabling vehicles to cooperatively construct a richer roadway view than any single platform could independently achieve.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $299.7k | 5/13/26 |