Project Grant 2451471
- 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 $300,000 Project Grant was awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a collaborative research project between California State University San Marcos (CSUSM), a Hispanic Serving Institution, and other partners to develop an integrated and extensible platform for investigating security vulnerabilities and countermeasures in the emerging paradigm of...
- 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...
- This federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, provides $453,372 to Syracuse University to develop autonomous operations of multi-UAV uncrewed aerial systems (UAS) for monitoring and tracking natural disaster events like wildfires and flooding. The key research goals are to design and implement robust motion estimation and control schemes that enable a team of UAVs to...
- 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 $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 $46,664 Project Grant was awarded by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant will support research at Iowa State University to develop new computational frameworks and methods enabling shared visual interfaces between small unmanned aerial vehicles (UAVs) and human users. This will improve the ability of UAVs and humans to safely and effectively collaborate on manipulating objects in dynamic...
- This $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program provides $205,557 to the University of Alabama to conduct research and education related to cyber-resilient navigation for autonomous systems. The key objectives are to: (1) understand and assess cyber threat uncertainties of integrated positioning and navigation systems, (2) model self-learning based cyber-attacks, (3) formulate cyber-attack detection algorithms,...
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 FOR CYBER RESILIENT UAV OPERATION," focuses on designing a multi-modal security enhancement (MUSE) framework that integrates sensor data from LIDAR, cameras, and other motion sensors to achieve real-time localization and spoofing detection without relying on GPS. The award will contribute novel methods in sensor fusion, trajectory reconstruction, and secure autonomous navigation, with expected impact across the fields of cyber-physical systems, AI, and cybersecurity. The project also includes outreach activities and training opportunities for students in cybersecurity.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 7/28/25 |