This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $200,000 in funding to Texas Southern University, a historically black college and university, to develop an innovative mobile edge computing system called Aerial-Ground Intelligent Vehicular Edge (AGILE). The project aims to leverage the capabilities of aerial and ground vehicles with artificial intelligence processing to create a flexible, on-demand, and...
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 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...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support a collaborative research effort focused on learning-assisted integrated sensing, communication, and security for 6G unmanned aerial vehicle (UAV) networks. The key objectives are to develop deep learning-based UAV localization and wireless sensing, location-aided UAV millimeter wave (mmWave) communications, and joint UAV mmWave...
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 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...
The University of Texas at San Antonio (UTSA) was awarded a $180,000 Project Grant by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, titled "COLLABORATIVE RESEARCH: CISE-MSI: DP: RI: TOWARDS SCALABLE, RESILIENT AND ROBUST FORAGING WITH HETEROGENEOUS ROBOT SWARMS", aims to develop a highly efficient, resilient, and robust heterogeneous robot swarm system...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project focused on developing learning-assisted integrated sensing, communication, and security for 6G unmanned aerial vehicle (UAV) networks. The project team from Auburn University, Florida International University, Indian Institute of Technology Kharagpur, and International Institute of Information Technology,...
This $600,000 Project Grant awarded by the National Science Foundation (NSF) Division of Computing and Communication Foundations will fund the development of an innovative aerial imaging system that incorporates state-of-the-art artificial intelligence (AI) for real-time data processing and analysis. The project, titled "CISE-MSI:DP:REAL-TIME AERIAL IMAGING WITH EDGE AI," is a collaboration between students and faculty at Norfolk State University (NSU), a minority-serving institution...
This Project Grant award of $588,751 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to address computational challenges in real-time analysis of high-throughput sensor data for collaborative autonomous vehicles. The University of Maryland, College Park is developing a novel large-scale machine learning and edge computing framework to integrate emerging techniques like fast deep learning optimization, federated...