Project Grant 2502117
- This $550,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development and demonstration of a novel system to provide secure, unmanned, aerial vehicle guidance in limited connectivity environments. The project aims to develop secure communication protocols for robust and accurate vehicle position, navigation, and timing (PNT) when GPS or GNSS signals are compromised or unavailable. The key...
- This $200,000 Project Grant awarded by the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) supports a collaborative research initiative focused on learning-assisted integrated sensing, communication, and security for 6G unmanned aerial vehicle (UAV) networks. The multi-institutional research team from Auburn University, Florida International University, IIT Kharagpur, and IIIT Naya Raipur aims to develop innovative solutions integrating UAV...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $599,961 to the University of Massachusetts to develop a new framework called AERIAL (AI-Embedded Responsive Intelligent Agents with Trajectory-Induced Digital Twin Learning). The project aims to improve the safety, speed, and efficiency of drone missions that support public safety and national resilience. The research will introduce a new AI-driven...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 to the University of Nebraska at Omaha (UNO) to develop an AI-powered, GPS-independent navigation and localization framework that enables unmanned aerial vehicles (UAVs) to operate securely and autonomously in GPS-denied or adversarial environments. The project, titled "CRII: SATC: MUSE: MULTI-MODAL SECURITY ENHANCEMENT...
- This $177,560 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a new training program to equip students with essential skills for conducting research on Unmanned Aerial Systems (UAS) cyber infrastructure. The project, led by San Diego State University Foundation, involves four training modules focused on fundamental aspects of UAS including control, communication, computing, and...
- This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports a collaborative research project between Florida International University (FIU), Auburn University, the Indian Institute of Technology Kanpur, and the International Institute of Information Technology Naya Raipur. The project aims to develop deep learning-based localization and sensing capabilities for unmanned aerial vehicle (UAV)...
- This Project Grant awarded by the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop an advanced extended reality (XR) training system that combines Federal Aviation Administration (FAA) Part 107 regulations and unmanned aircraft systems (UAS) operation, powered by generative artificial intelligence (AI) assistance. The $399,871 project, titled "Transforming Compliance Training for Drone Operators Through an Extended Reality and Generative Artificial...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) will provide $150,000 to Wright State University to advance fundamental knowledge in intelligent and sustainable air-ground collaborative systems. The project aims to develop a unified framework that enables seamless collaboration between aerial drones and ground vehicles through efficient data handling, enhanced scene understanding, and adaptive mission planning. Key...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $300,000.00 to the University of California, Irvine (UCI) to develop a general mathematical framework for optimizing the trajectory of uncrewed aerial vehicle (UAV) swarms operating in sensor networks. The project aims to address key challenges in UAV trajectory optimization, including UAV dynamics, energy efficiency, heterogeneity, 3D sensing, collision and inaccessible region...
- The National Science Foundation (NSF) awarded a $599,830 project grant under the Computer and Information Science and Engineering (CISE) program to the University of Alabama in Huntsville (UAH) from October 1, 2025 through September 30, 2028. The project aims to develop a novel distributed learning framework based on federated learning to enable multi-modal learning across networks of unmanned aerial vehicles (UAVs). This will address challenges in training high-performance machine learning...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $198,583 to East Texas A&M University to develop a deep analytics framework for location integrity and awareness in unmanned aerial vehicle (UAV) operations. The project aims to create a complementary solution to GPS-based methods for UAV navigation, utilizing trajectory-based analysis and deep learning techniques to enhance reliability in challenging conditions such as limited GPS availability or compromise. The framework is intended to empower UAV-assisted applications across various research sectors, including cellular-connected UAVs, the Internet of Drones, and flying ad-hoc networks. Additionally, the project supports student training in AI/ML skills and workforce development through educational programs and research activities. The award period runs from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $198.6k | 7/31/25 |