Project Grant 2543754
- Federal Project Grant Summary The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded $549,999 to The Research Foundation for the State University of New York (RF SUNY) under a Faculty Early Career Development (CAREER) grant, effective September 1, 2025, through August 31, 2030. This project delivers foundational research and algorithmic innovations in multi-objective optimization (MOO), specifically addressing large-scale, data-driven applications across 5G networks,...
- Federal Grant Award Summary The National Science Foundation's Engineering program (CFDA 47.041) awarded $525,000 to The Research Foundation For The State University of New York on October 1, 2025, for a three-year collaborative research project focused on developing theoretical frameworks and experimental validation for Integrated Air-Ground-Underwater Networks (IAGUN). The primary deliverables include foundational research that converges optical and radio-frequency (RF) communication...
- Federal Grant Award Summary Cornell University received a $459,202 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded on August 1, 2025, with completion targeted for April 30, 2026. This CAREER award supports fundamental research and educational initiatives focused on distributed intelligence in future wireless networks through a co-design approach that integrates machine...
- Federal Grant Award Summary The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded $549,292 to The Research Foundation for the State University of New York on June 1, 2026, for a Faculty Early Career Development (CAREER) project focused on advancing computational methods for metal-organic frameworks (MOFs). The award, which extends through May 31, 2031, will develop an integrated computational scheme combining graph theory, molecular modeling, and machine learning...
- Federal Project Grant Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $584,649 to The Research Foundation for the State University of New York (SUNY at Binghamton) under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER grant effective September 1, 2026, through August 31, 2031. This award supports the development of a novel spatial-temporal offline reinforcement learning framework designed to enable...
- Federal Project Grant Award Summary New York University received a $639,989 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) for the project "Architectural Foundations for Deployable Low-Latency and Resilient Networks." The award, effective October 1, 2026 through September 30, 2029, supports research and development activities designed to establish...
- Federal Grant Award Summary The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded a Faculty Early Career Development (CAREER) grant of $500,001 to The Research Foundation for the State University of New York, with performance at the University at Buffalo beginning July 1, 2026, and concluding June 30, 2031. This grant supports the development of novel statistical methods and analytical tools for distribution-in-distribution-out (DIDO) analytics—a foundational...
- Summary of Federal Project Grant Award The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded Cornell University $670,000 through a CAREER Project Grant effective April 1, 2026, through March 31, 2031, to develop mathematical and computational tools for building robust artificial intelligence (AI) systems that maintain reliability under real-world conditions. The project addresses a critical gap in current AI robustness by shifting from reactive,...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a $408,211 CAREER Project Grant to the University of Texas at Arlington (effective July 1, 2026 through June 30, 2031) under the Computer and Information Science and Engineering program (CFDA 47.070). The award supports research and development of an artificial intelligence (AI)-driven integrated sensing, computing, and communication framework to enable proactive network resource...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a CAREER (Computer and Information Science and Engineering, CFDA 47.070) Project Grant of $433,609 to the University of Nebraska, effective July 1, 2026 through June 30, 2031, to develop trustworthy artificial intelligence (AI)-native network autonomy frameworks for Open Radio Access Networks (O-RAN) and next-generation 6G mobile networks. The project delivers three primary...
The National Science Foundation's Directorate for Engineering (NSF ENG, CFDA 47.041) awarded $550,000 to The Research Foundation for the State University of New York to execute the CAREER project "Internet of Foundation Models (IOFM): Expanding the Frontiers of Distributed Learning in Heterogeneous Networks" from September 1, 2026, through August 31, 2031. The project delivers fundamental research and development services focused on advancing artificial intelligence and machine learning tools for next-generation wireless networks. Primary research outputs include the development of scalable, resource-efficient, and privacy-preserving methods for deploying multi-modal, multi-task federated foundation models (M3T FedFMs) across heterogeneous wireless networks, organized around three research thrusts: establishing theoretical foundations for modeling data and model heterogeneity, designing scalable AI learning architectures for hierarchical and decentralized fog networks, and optimizing cross-layer communication and computation strategies. In addition to technical research deliverables, the award includes a comprehensive education and outreach component designed to train next-generation engineers and researchers, engage K-12 educators, and foster interdisciplinary collaboration. The IOFM paradigm promises to enhance efficiency, scalability, and privacy of AI applications in wireless systems with potential societal benefits in healthcare, smart city infrastructure, and sustainable technology. Work will be performed in Buffalo, New York, under administration by RF SUNY's Sponsored Projects Services division.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $550.0k | 3/16/26 |