Project Grant 2225427
Award Date
10/1/22
Completion Date
9/30/25
Dollars Obligated
$280K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Amherst, MA 01003, USA
Similar Awards
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 $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 effort focused on developing learning-assisted integrated sensing, communication, and security capabilities for 6G unmanned aerial vehicle (UAV) networks. The key research thrusts include: (1) deep learning-based UAV localization and wireless sensing, (2) joint design of location-aided UAV millimeter wave...
This National Science Foundation project grant of $392,690 will fund research at the University of California, Los Angeles from October 1, 2022 to September 30, 2025. The grant is part of NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, the university researchers will investigate using machine learning...
The National Science Foundation awarded a $794,000 Project Grant to the University of Illinois under the Computer and Information Science and Engineering program. The three-year award will support the development of machine learning frameworks to enable new communication and sensing capabilities for next-generation cellular networks. Specifically, the university will create autonomous systems using machine learning to maximize performance from novel hardware in networks with massive antenna...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $122,598 to The Research Foundation For The State University Of New York (operating as State University College) to develop a system for automated resource management of 5G-enabled Internet of Things (IoT) devices. The key objectives are to: a) design 5G network slicing using massive MIMO for IoT devices, b) develop a reinforcement learning model to...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, titled "CAREER: ADAPTIVE DEEP LEARNING SYSTEMS TOWARDS EDGE INTELLIGENCE," provides $249,028 to the University of Massachusetts (UMass) to develop adaptive deep learning systems for edge computing platforms. The goal is to enable the effective deployment of deep learning techniques across diverse applications and environments by optimizing both system efficiency and accuracy....
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $500,000 to Arizona State University (ASU) to develop a novel mathematical framework, efficient techniques, and a scalable network architecture that leverage distributed multi-modal sensing data to enable reliable large-scale MIMO and high-frequency communication networks. The key objectives include creating a platform for...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) in the amount of $272,372 will fund a collaborative research project titled "Towards Scalable and AI-Based Solutions for Beyond-5G Radio Access Networks" at Arizona State University. The project aims to develop scalable artificial intelligence (AI)-based solutions for enabling large-scale cell-free massive MIMO (CFMMIMO) wireless communication networks, which...
The National Science Foundation awarded a $500,000 Project Grant to Arizona State University under the Engineering (47.041) federal grant program. The five-year award will support the university's CAREER: ENABLING HIGHLY-MOBILE LARGE-SCALE MIMO SYSTEMS WITH MACHINE LEARNING project from April 2021 through March 2026. Through this funding, Arizona State University will develop new machine learning techniques to optimize the performance of highly-mobile large-scale multiple-input multiple-output...
The National Science Foundation awarded a $999,913 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of California, Santa Barbara for the period of October 1, 2021 through September 30, 2023. The grant funds the "CC* INTEGRATION-LARGE: DEMOCRATIZING NETWORKING RESEARCH IN THE ERA OF AI/ML" project. Key deliverables include developing an Internet of Things laboratory to study network traffic behavior from connected devices...