The National Science Foundation (NSF) awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to support collaborative research on learning-assisted integrated sensing, communication, and security for 6G unmanned aerial vehicle (UAV) networks. The award, effective from October 1, 2024 to September 30, 2027, is a joint effort by a multidisciplinary team from Auburn University, Florida International University, the Indian Institute of Technology Kanpur, and the International Institute of Information Technology, Naya Raipur. The project aims to develop deep learning-based techniques for UAV millimeter wave localization, sensing, communications, and security to improve spectrum utilization, sensing performance, and device security in 6G UAV networks. The research will be validated through simulations, laboratory experiments, and testing on 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, enhancing undergraduate and graduate-level programs at the participating institutions.
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