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 $1,200,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to the University of Illinois to establish millimeter wave (mmWave) radar as a first-class perception and control tool for small autonomous robots and drones. The project aims to develop new radar-based localization, mapping, and semantic scene understanding capabilities that can operate on the limited onboard compute of small robots...
This $250,000 National Science Foundation project grant supports research at Florida International University to develop artificial intelligence techniques for radio frequency machine learning and spectrum situational awareness. Led by FIU, the research team will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access enabled by advanced hardware innovations. The team aims to improve spectrum utilization and coexistence of competing users through a...
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 National Science Foundation Project Grant of $322,886 supports the establishment of a new Research Experiences for Undergraduates site at Embry-Riddle Aeronautical University focused on networking research for drone swarms in the age of artificial intelligence and machine learning. Over three years, the project will engage eight undergraduate students per summer in research activities under the guidance of experienced mentors. Key areas of focus include dynamic network management, network...
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...
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 University of Miami received a $300,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the "NETS: SMALL: COLLABORATIVE RESEARCH: NSF-NSERC: 3D HARMONY: ARTIFICIAL INTELLIGENCE ENABLED HARMONIOUS WIRELESS COEXISTENCE FOR 3D NETWORKS" research project. This 3-year effort aims to develop new models, algorithms, and experiments to integrate aerial network elements (ANEs) such as drones and...
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...
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) millimeter wave (mmWave) networks, enabling location-aided UAV mmWave communications and joint UAV mmWave communication and radar co-design. The key research thrusts include learning-based mmWave UAV localization and wireless sensing, joint design of location-aided UAV mmWave communications and sensing, multi-UAV communications and sensing co-design, and learning-based RF fingerprinting for UAV security. The proposed techniques will be implemented and validated through ray-tracing software, mmWave hardware, UAVs, and the NSF PAWR AERPAW testbed. The project also includes an educational plan to develop joint course materials on AI/ML for UAV networks and IOT, and provide hands-on learning opportunities for students at the participating institutions.