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...
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...
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 Division of Computer and Network Systems awarded Syracuse University a $536,983 project grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports collaborative research on integrating autonomous unmanned aircraft systems in wildland fire management from January 1, 2022 to December 31, 2025. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $249,430 to Syracuse University to develop and validate a distributed, data-driven architecture for dynamic spectrum management among decentralized wireless systems. The key focus of the project is to design protocols and algorithms that can enable flexible, scalable, and robust spectrum coordination between peer wireless networks,...
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 $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...
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...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $400,000 Project Grant to The Trustees of Princeton University, Office of Research and Project Administration, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program. This 3-year grant supports collaborative research on developing theories and algorithms for scalable multi-agent planning and control to enable safe and robust autonomous electrical vertical take-off 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 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 challenges in decentralized aerial networks. Both connectivity and control constraints such as collision avoidance and kinematic limitations will be considered. Decentralized learning strategies using only local observation will be utilized to establish autonomous decision-making. Sensitivity analysis and defensive mechanisms will provide robustness against adversarial attacks. The outcomes of this analytical and algorithmic framework combining wireless networking, optimization, control, deep reinforcement learning, and adversarial learning are expected to support applications in disaster relief and remote sensing.