Project Grant W911NF261A232

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,999 to develop a novel biomimetic swarm-based remote sensing system for environmental monitoring in hard-to-reach areas. The researchers at the New Mexico Institute of Mining and Technology (New Mexico Tech) aim to create a swarm of tiny, lightweight sensors inspired by the natural design of dandelion seeds that can be deployed by...

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 $550,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development and demonstration of a novel system to provide secure, unmanned, aerial vehicle guidance in limited connectivity environments. The project aims to develop secure communication protocols for robust and accurate vehicle position, navigation, and timing (PNT) when GPS or GNSS signals are compromised or unavailable. The key...

This Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $100,333 to the Rochester Institute of Technology (RIT) to develop smart surfaces capable of adaptively modifying wireless channels. The goal is to unlock the full potential of wireless networks by manipulating the propagation environment to achieve greater spatial multiplexing and coverage for massive numbers of devices and exponential growth in data...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research by the New Mexico Institute of Mining and Technology (New Mexico Tech) to develop a sustainable vertiport system and autonomous drone swarm for methane emission monitoring over orphaned oil and gas wells. The $149,999 grant will fund three technical objectives: (1) a low-cost, portable, and sustainable vertiport to enable precision...

This 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), provides $665,053 to San Jose State University Research Foundation (doing business as San Jose State University) for the period of July 15, 2022 through June 30, 2025. The grant supports development of a next-generation cooperative perception system with multi-modal sensing and low-latency communication capabilities....

This Project Grant from the National Science Foundation Division of Computer and Network Systems provides $305,000 in funding from October 1, 2021 to September 30, 2024 to support research titled "COLLABORATIVE RESEARCH:SWIFT: EXPLOITING APPLICATION SEMANTICS IN INTELLIGENT CROSS-LAYER DESIGN TO ENHANCE END-TO-END SPECTRUM EFFICIENCY." The research will be conducted under the official federal grant program "Computer and Information Science and Engineering" (CFDA #47.070)....

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...

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 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...