The National Science Foundation awarded Yale University a $406,081 project grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research from October 2021 through September 2024 to advance learning techniques for next generation wireless networks. Specifically, the university will conduct work on learning to network the edge in next generation wireless networks. The Computer and Information Science and Engineering program aims to...
This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of robust intelligent algorithms for dynamic spectrum access management. The key objectives are: Designing techniques and algorithms to quantify and integrate data and model uncertainty in automated dynamic spectrum access systems. Creating a new framework to achieve trustworthy spectrum monitoring...
Yale University was awarded a $250,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support research titled "COLLABORATIVE RESEARCH: SWIFT: SHIELD: A SOFTWARE-HARDWARE APPROACH FOR SPECTRUM COEXISTENCE WITH RAPID INTERFERER LEARNING, DETECTION, AND MITIGATION" from October 1, 2021 through September 30, 2024. The research aims to develop a software-hardware system to...
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...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research to improve wireless network security designs. The project aims to (1) create stronger, practical adversary models to understand the limitations of security for Internet of Things (IoT) systems that leverage wireless channel properties, and (2) design new defense strategies to advance the state-of-the-art in wireless network...
This $399,947 Project Grant award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems (CFDA Program 47.041 - Engineering) will fund research to develop a new paradigm for efficient and reliable wireless communication in congested and contested spectrum environments. The key objectives are to: 1) Enable computationally lightweight time-frequency signal alignment to mitigate unpredictable interference; 2) Improve ultra-reliable low latency communications...
Rice University received a $214,533 Project Grant award from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to support collaborative research on risk-sensitive control of stochastic networks. The two-year award beginning January 1, 2022 will advance mathematical analysis in stochastic control and develop advanced methods and algorithms to provide risk-mitigating solutions for operational...
This $600,000 National Science Foundation project grant supports research at Stony Brook University to develop a suite of novel distributed reinforcement learning algorithms. The grant is funded through the NSF's Computer and Information Science and Engineering program. Specifically, the three-year award will fund research to establish theoretical foundations for designing, analyzing, and applying fully distributed reinforcement learning algorithms over large-scale networks without global...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, totaling $978,924, will fund research from June 2022 to May 2026 at Harvard University. The award will support the development of theoretical foundations for trust-centered resilience in distributed coordination and optimization of multi-agent systems in the presence of adversaries. Researchers will establish analytical frameworks to efficiently leverage stochastic side information...
This $299,839 National Science Foundation project grant supports research at the New Jersey Institute of Technology to develop authority distribution techniques for resilient communication networks. The Computer and Information Science and Engineering program aims to advance computing and information sciences through investigator-initiated research and education. Specifically, the grant will fund three interrelated research thrusts over a 30-month period ending January 2025. The first thrust...
This $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Yale University on risk-aware resource allocation for robust wireless autonomy. The three-year award beginning in August 2023 aims to develop a new methodological framework for systematic risk-aware resource allocation in wireless systems. This will bridge operational gaps between traditional ergodic risk-neutral and minimax conservative approaches. The principal investigator will investigate constrained risk-aware resource allocation problem formulations and dual-domain variational analysis. Models and efficient methods will be developed for both model-based synthesis and model-free reinforcement learning of optimal risk-aware policies. This work seeks to establish a new paradigm in wireless systems resource allocation and address inherent challenges in risk-aware settings, such as non-convexity and lack of channel/system model availability. Broader impacts include potential relevance to finance, economics, energy and robotics applications.