Project Grant 2542688
- Federal Project Grant Award Summary The University of Texas at Arlington received a $200,000 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), effective October 1, 2025, through September 30, 2027. This collaborative research project develops multimodal sensing-based security (MSS) mechanisms designed to enhance cybersecurity protections for...
- 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 Massachusetts received a $599,961 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), effective August 1, 2025 through July 31, 2028. The award funds the AERIAL (AI-Embedded Responsive Intelligent Agents with Trajectory-Induced Digital Twin Learning) project, which develops advanced computational frameworks enabling...
- Federal Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded the University of Texas at Dallas a $309,669 CAREER grant effective August 1, 2025, through July 31, 2030, under the Computer and Information Science and Engineering program (CFDA 47.070). This project grant supports research into improving the attack resilience of robotic systems through a comprehensive cross-domain security framework that addresses vulnerabilities spanning both...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded the University of Texas at Arlington $399,871 under the STEM Education program (CFDA 47.076) on October 15, 2025, to develop SkyGen-XR, an advanced extended reality (XR) and generative artificial intelligence (GenAI)-powered training system for unmanned aircraft systems (UAS) operators. The project delivers personalized, immersive learning solutions that integrate Federal Aviation Administration (FAA) Part 107...
- The University of Texas at Arlington (UTA) received a $812,417 Project Grant award from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant funds the development of an enhanced open networked airborne computing platform to facilitate advanced research and applications in airborne computing. Key deliverables include hardware and software upgrades to support distributed...
- Federal Grant Award Summary Texas A&M University received a $514,038 CAREER award 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), effective October 1, 2025 through September 30, 2026. The award funds research and development of a novel federated learning (FL) framework designed to enable ubiquitous, time-critical machine learning at wireless edge networks while...
- 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 Project Grant Award Summary The University of Texas at Arlington received a $120,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, with completion targeted for September 30, 2027. This collaborative research initiative addresses intellectual property protection challenges posed by generative artificial intelligence...
- 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...
The University of Texas at Arlington received a $341,039 project grant awarded May 1, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) from the National Science Foundation's Division of Computer and Network Systems. The CAREER award, titled "MMDRONE: Protecting Drone-Integrated IoT Systems with Advanced MMWave Sensing," supports a five-year research initiative (completion date April 30, 2031) focused on developing millimeter-wave (MMWave) sensing technologies to detect, authenticate, and secure unmanned aerial systems integrated with Internet-of-Things (IoT) ecosystems. The investigator will design, prototype, and evaluate MMWave-powered security mechanisms using commodity and deployable radar platforms, addressing critical vulnerabilities in drone-integrated infrastructure systems. The research is organized into four integrated thrusts: Thrust 1 develops MMDRONE-SURV, an MMWave framework for extended-range drone detection and tracking; Thrust 2 designs MMDRONE-AUTH, a drone authentication system utilizing hardware fingerprinting; Thrust 3 develops MMDRONE-SCALE, a solution for remote measurement of drone payloads; and Thrust 4 proposes MMDRONE-KEY, a scheme using MMWave sensing dynamics for secure communications. The project also emphasizes education and workforce development through student engagement, curriculum integration, and release of open-source resources to the broader research community.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $341.0k | 4/6/26 |