Project Grant 2313110

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $400K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Charlottesville, VA, USA
Similar Awards
The National Science Foundation awarded a $799,204 Project Grant to Purdue University to develop a collaborative cyber-physical learning system (CCPLS) that utilizes unmanned aerial vehicles (UAVs) to facilitate distributed, learning-based processing tasks. The project, funded through the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will establish a framework for integrating UAV-assisted CCPLSs to address challenges with large-scale, high-dimensional,...
The National Science Foundation Division of Computer and Network Systems awarded a $313,000 Project Grant to the New Jersey Institute of Technology from October 1, 2021 to September 30, 2023. The grant supports the collaborative research project "ROBUST AIRBORNE WIRELESS EDGE COMPUTING NETWORK USING SWARMING UAVS" under the Computer and Information Science and Engineering program (CFDA #47.070). The research aims to develop a robust airborne wireless edge computing network using...
The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Houston System, a Hispanic Serving Institution, for the project "COLLABORATIVE RESEARCH: CISE-MSI: DP: CNS: ENABLING ON-DEMAND AND FLEXIBLE MOBILE EDGE COMPUTING WITH INTEGRATED AERIAL-GROUND VEHICLES." The project aims to develop an innovative "Aerial-Ground Intelligent Vehicular Edge (AGILE)" system that...
The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to North Carolina State University (NC State) to study the integration of aerial network elements (ANEs) such as drones and unmanned aerial vehicles into existing terrestrial wireless networks. The 3-year project, titled "NETS: SMALL: COLLABORATIVE RESEARCH: NSF-NSERC: 3D HARMONY: ARTIFICIAL INTELLIGENCE ENABLED HARMONIOUS WIRELESS...
This federal Project Grant award for $300,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support a collaborative research project focused on learning-assisted integrated sensing, communication, and security for 6G unmanned aerial vehicle (UAV) networks. The key products and services to be delivered under this award include: Developing deep learning-based techniques for UAV millimeter wave (mmWave) localization and...
The National Science Foundation awarded a $472,060 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of North Texas for the period of May 15, 2023 to April 30, 2026. The grant supports the development of an enhanced open networked airborne computing platform to facilitate design, implementation, and testing of integrated control, computing, communication, and networking capabilities for airborne applications. Key deliverables include...
This National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program provides $177,560 to San Diego State University Foundation to develop a new training program that will equip students with essential skills needed for conducting and potentially transforming foundational research on unmanned aerial systems (UAS). The project involves four training modules focused on key aspects of UAS cyber infrastructure, including control,...
This $315,369 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel learning-based control framework to improve the autonomy and adaptability of heterogeneous drone systems. The project, led by Texas A&M Engineering Experiment Station (Tees), aims to equip drones with the ability to learn from the experiences of other drones, reducing the design, testing, and certification...
This three-year, $300,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research at Syracuse University to develop robust and decentralized decision-making policies for unmanned aerial vehicle-enabled wireless networks. Specifically, the researchers will design intelligent algorithms to jointly address mobility, connectivity, and resource management...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a planning effort to explore foundational requirements and constructs for enabling safe, reliable interactions between users and uncrewed aerial systems (drones) in diverse work environments. The goal is to develop an initial conceptualization, planning, and collaboration activities to inform the design of future large-scale...

The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $400,000 Project Grant titled "COLLABORATIVE RESEARCH: CPS MEDIUM: LEARNING THROUGH THE AIR: CROSS-LAYER UAV ORCHESTRATION FOR ONLINE FEDERATED OPTIMIZATION" to the Rector & Visitors of the University of Virginia, an educational institution. The project aims to establish a foundation for integrating unmanned aerial vehicles (UAVs) with collaborative cyber-physical learning systems (CCPLS) to support distributed, learning-based processing tasks. Key project activities include developing a UAV-assisted intelligence framework for CCPLS, optimizing resource utilization and intelligence quality through co-designing UAV trajectories and UAV-to-CPS network establishment, and creating CCPLS communication protocols tailored to the needs of UAV-assisted learning systems. This award is funded through NSF's Computer and Information Science and Engineering (CISE) program, which supports research and education in computing, communications, and information science and engineering.

Generated 4/16/24, 5:26 AM