Project Grant 2542883
- Federal Project Grant Award Summary Clemson University received a $551,585 CAREER (Faculty Early Career Development) award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective September 1, 2026 through August 31, 2031. The project delivers fundamental research and educational outcomes advancing wireless communication foundations for swarm artificial intelligence (AI) systems. The primary...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant (CFDA 47.041, Engineering program) to the University of California, Santa Barbara, effective April 15, 2026, with completion targeted for March 31, 2031. This project grant supports research on large language model (LLM) watermarking and content identification methodologies designed to embed hidden signals into AI-generated text, enabling...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded a $549,999 CAREER grant (CFDA 47.041, Engineering program) to The Research Foundation for the State University of New York, effective September 1, 2025, through August 31, 2030. This project grant funds research into large-scale multi-objective learning through the development of novel algorithms and fundamental theory addressing real-world artificial intelligence and...
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded $550,000 to The Research Foundation for the State University of New York (RF SUNY) under the Engineering program (CFDA 47.041) on September 1, 2026, for a five-year CAREER grant through August 31, 2031. This project will develop scalable, resource-efficient, and privacy-preserving methods for deploying multi-modal multi-task federated foundation models (M3T FedFMs)...
- Federal Grant Award Summary Florida State University received a $200,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, with a completion date of September 30, 2028. This collaborative research initiative focuses on developing a comprehensive framework to enhance the adversarial robustness of deep learning models used in...
- Federal Grant Award Summary The University of Miami received a $1.4 million Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded March 1, 2026, with a completion date of February 29, 2028. The award funds a regional research infrastructure initiative titled "Research Infrastructure: CC* Network-Region: Enabling Data-Driven Research and Education in Small Florida...
- Federal Grant Award Summary The University of South Carolina received a $295,470 CAREER Project Grant from the National Science Foundation's Computer and Network Systems Division (CFDA 47.070) effective July 1, 2025, through June 30, 2030. This research initiative focuses on developing over-the-air computation (OAC) technology that leverages wireless signals as a computational substrate to enable faster machine learning, decision-making, and coordination among wirelessly connected devices. The...
- Federal Grant Award Summary The National Science Foundation's Division of Computer and Network Systems awarded University of Miami $300,000 under the Computer and Information Science and Engineering program (CFDA 47.070) for a collaborative U.S.-Germany research project focused on developing a zero-trust framework for Integrated Sensing and Communication (ISAC) Systems. The project, which commenced March 1, 2026 and concludes February 28, 2029, delivers research and development services...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $200,000 to the University of Massachusetts on June 15, 2025, under the Engineering program (CFDA 47.041) for a project titled "Closed-Loop Hybrid Intelligence with Optogenetic-Neuromorphic Co-Designed Cell Interfaces." The project, scheduled for completion by May 31, 2028, delivers advanced engineering tools and methods that integrate high-resolution...
- Federal Grant Award Summary New York University received a $550,000 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) beginning May 1, 2025 and concluding April 30, 2030. This project, titled "NEUROTAP: Chip-Scale High-Resolution Neural Recording with Wireless Communication and Powering," delivers research and development focused on advancing...
The University of Miami received a $600,000 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective April 15, 2026, through March 31, 2031. This project grant funds the development of a novel artificial intelligence (AI)-native semantic communication (SC) framework designed to transform wireless communication systems. The primary deliverables include adaptive, generalizable semantic information models structured with data entities and their relationships, as well as jointly optimized semantic information generation and transmission protocols for resource-constrained wireless networks that leverage shared knowledge between transmitters and receivers. Beyond the core technical research, the project encompasses a comprehensive educational plan integrating AI-native communication system course materials and hands-on learning activities. The broader significance of this work lies in shifting wireless communication from a unidirectional reconstruction problem—where receivers passively receive messages—to a symmetric system enabling receivers to actively regenerate content with reasoning and multi-modal data processing capabilities. This fundamental advancement addresses limitations of conventional communication systems when managing massive data transmission and meeting stringent requirements of intent-based systems that must consider message meaning and system impact.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 4/2/26 |