Project Grant 2300955
- The National Science Foundation awarded a $199,902 Project Grant to the University of Massachusetts Dartmouth under the Engineering program (CFDA 47.041). The grant will support the development of an adaptive incremental deep learning architecture to infer radio frequency signals in dynamic spectrum sharing environments in real time. The proposed research aims to advance self-learning of spectrum sensing, signal classification, and radio frequency parameter characterization through an online...
- This Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $260,000 to Northeastern University to develop methods that improve communication performance in shared, congested, and contested spectrum bands. The project aims to leverage the structure of interference rather than treating it as noise to enhance the reliability and throughput of communication systems. Key research focuses include leveraging characteristics of interference...
- Federal Project Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded $280,000 to the University of Georgia Research Foundation on September 1, 2025, for a collaborative research project titled "Rethinking Wireless Channel Through the Lens of Radiance Field." This three-year project, concluding August 31, 2028, develops an innovative modeling framework that integrates limited radio frequency measurements with spatial priors derived from...
- This $250,000 National Science Foundation Project Grant supports research and education activities at North Carolina State University from January 2023 through July 2026. The grant is funded through NSF's Engineering Directorate under the CFDA program for Engineering. The university will conduct research to proactively control wireless device errors across computing, caching and communications layers for performance gains in areas like energy efficiency and throughput. Researchers will design...
- This $100,000 Project Grant award was made by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF). The project, titled "Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for Federated Learning over Mobile Devices," aims to develop a novel next-generation (NextG) network design to address the...
- The National Science Foundation (NSF) awarded a Project Grant under the Engineering Research and Innovation (ERI) program (CFDA 47.041) totaling $198,512 to the California State University Fresno Foundation. The grant supports the development of a novel co-time, co-frequency full-duplex transceiver system for wireless network-on-chip (WiNoC) applications. The key research tasks include designing energy- and area-efficient transmitter and receiver circuits with built-in analog and digital...
- This three-year, $400,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of high-efficiency distributed beamforming techniques for radio frequency energy transfer at Northeastern University. The university aims to overcome technological challenges that have hindered effectively combining energy from multiple transmitters to power remote Internet of Things devices. Key products include a distributed beamforming method using...
- This $200,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to develop advanced analog circuits and systems for dense, in-situ spectrum monitoring. The key products and services to be delivered include: (1) Ultra-efficient, single-shot analog cross-correlators capable of rapidly computing cross-correlations between input signals and template waveforms. This enables low-latency spectrum sensing...
- This three-year, $750,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will fund research at the University of Michigan to develop novel multifunctional materials and devices for interference-immune broadband wireless systems. Specifically, the grant will support investigating the use of self-biased multiferoic materials and algorithms to learn how network participants use spectrum over...
- Federal Grant Award Summary Kennesaw State University Research and Service Foundation received a $199,829 Engineering Research Initiation (ERI) grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems (CFDA 47.041) effective October 1, 2025, with a completion date of September 30, 2027. The project deliverables center on advancing federated spiking neural network (SNN) learning systems optimized for wireless edge computing environments. Research...
This Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) provides $179,126 to Kennesaw State University Research and Service Foundation, Inc. for research enabling secure, energy-efficient in-band full duplex wireless communication techniques. The research will design and develop deep learning solutions for self-interference cancellation, power control, and security to enable simultaneous transmission and reception of information using this spectrum-efficient technique. Outcomes such as publications and open source codes will be made available to facilitate further research. The funding also supports integrating research outcomes into course curricula to promote workforce training in deep learning and wireless system design. Underrepresented students will have opportunities to participate through research assistant roles or specific programs. This award advances NSF's mission of supporting merit-based engineering research and education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 12/13/22 | ||
| Not listed | $179.1k | 10/18/22 |