Project Grant 2551417
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Louisiana at Lafayette $200,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop physics-enhanced artificial intelligence methods for radio map estimation and wireless network management. The project, running through September 30, 2029, integrates wireless propagation principles with machine learning to construct accurate radio...
- The National Science Foundation Division of Information and Intelligent Systems awarded Florida International University $323,004 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence and machine learning methods for wireless systems and radio frequency spectrum applications. The project addresses three core challenges in wireless AI/ML: insufficient high-quality labeled data, domain and target shift in model...
- Federal Grant Award Summary The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded $280,000 to the University of Georgia Research Foundation for a collaborative research project spanning September 1, 2025, through August 31, 2028. The project develops a modeling framework that integrates radio frequency measurements with spatial priors derived from environmental sensing to improve Channel State Information (CSI) acquisition for next-generation wireless systems, including...
- This Project Grant award from the National Science Foundation Division of Computing and Communication Foundations provides $967,950 to Oregon State University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from July 1, 2022 to June 30, 2025. The award will support the development of latent neural factor analysis models and spectrum cartography techniques to map radio frequency environments from limited sensor measurements. The grantee aims to...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Georgia TECH Research Corp $485,000 on October 1, 2026, to develop a resilient and scalable near-real-time electromagnetic sensing system for unknown signals under the Engineering program (CFDA 47.041). The research will create an autonomous electromagnetic sensing microelectronic system operating across spectral, spatial, and temporal domains to achieve near real-time responsiveness, high...
- The National Science Foundation Division of Information and Intelligent Systems awarded $155,000 to The Research Foundation For The State University of New York on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop data-centric artificial intelligence methods for proactive telecommunication network operations. The project runs through September 30, 2029, with performance in Albany, New York. The research organizes around three coordinated...
- The National Science Foundation Division of Information and Intelligent Systems awarded Georgia TECH Research Corp $386,963 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct research treating artificial intelligence data center infrastructure as a cyber-physical system that responds to hardware thermal and power constraints during distributed training. The project addresses a fundamental gap in AI training systems: current software...
- The National Science Foundation Division of Information and Intelligent Systems awarded Texas A&M Engineering Experiment Station $250,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on proactive wireless network control in future broadband systems. The project develops framework and artificial intelligence models for optimal resource management in frequency range 3 (FR3) upper mid-band wireless...
- This $250,000 National Science Foundation project grant supports research at Florida International University to develop artificial intelligence techniques for radio frequency machine learning and spectrum situational awareness. Led by FIU, the research team will create lifelong incremental learning approaches to spectrum management and dynamic spectrum access enabled by advanced hardware innovations. The team aims to improve spectrum utilization and coexistence of competing users through a...
- The National Science Foundation Division of Computer and Network Systems awarded North Carolina State University $298,699 on January 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a CAREER project titled "InteractiveRF: Fully-Adaptive, Physics-Aware RF-Enabled Cyber-Physical Human Systems." The award funds research and education in adaptive radio frequency sensing for cyber-physical human systems. The project develops millimeter-wave RF...
The National Science Foundation Division of Information and Intelligent Systems awarded Georgia State University Research Foundation Inc. $350,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research in physics-enhanced artificial intelligence for spectrum awareness and radiomap-assisted network management. The project develops machine learning methods that integrate wireless propagation principles with advanced machine learning techniques to construct accurate radio maps from sparse measurements. Research focuses on three areas: physics-enhanced learning methods for radio map estimation incorporating domain knowledge into feature extraction and neural network architectures; integration of radio maps into wireless network management for planning, optimization, and diagnosis; and advanced learning methods for joint radio map estimation and network management. The work produces new algorithms, models, evaluation methods, datasets, and software tools for managing future wireless communication systems. Performance occurs in Atlanta, Georgia with a period of performance from October 1, 2026, through September 30, 2029. The funding supports more effective use of spectrum resources, improves wireless connectivity for emerging applications, and includes student training, curriculum development, and dissemination of research outcomes.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 7/30/26 |