Project Grant 2549088
- The National Science Foundation Division of Information and Intelligent Systems awarded Texas A&M Engineering Experiment Station $282,816 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research to design terahertz CMOS transceiver technology for next-generation wireless systems. The award funds development of an AI-enhanced, reconfigurable silicon BiCMOS transceiver panel operating at 300 gigahertz that performs...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Texas at Arlington $408,211 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an artificial intelligence-driven framework for proactive wireless network resource management in next-generation networks. The project creates deep learning models using multi-headed transformer architecture to translate raw sensor data from cameras and...
- The National Science Foundation Division of Information and Intelligent Systems awarded Texas A&M University-Corpus Christi $365,996 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and evaluate an air-to-ground autonomous vehicle network integrating stacked intelligent metasurface (SIM) antennas with unmanned aerial vehicles as mobile communication and computing platforms. The research addresses latency, reliability, and...
- The National Science Foundation Division of Computer and Network Systems awarded Texas A&M University $514,038 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a federated learning framework that enables Internet-of-Things devices at the wireless network edge to collaboratively train machine-learning models while preserving data privacy and meeting latency requirements for delay-sensitive applications. The project addresses...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M University $120,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and private fine-tuning of large language models. The research addresses the challenge of adapting general-purpose large language models to specialized tasks without requiring substantial computing resources or access to sensitive...
- 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...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M Engineering Experiment Station five hundred thousand dollars on April 15, 2026, under the Engineering program (CFDA 47.041) to develop AI-enabled autonomous coordination of ultra-large-scale converter-based distributed energy resources in power networks. The project focuses on advancing safe, stable, and economically optimal operation of integrated transmission-distribution power...
- This $557,659 National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop a comprehensive theory for second-order cross-layer design of wireless networks. The project, awarded to the Texas A&M Engineering Experiment Station (Tees), seeks to advance the fundamental understanding of wireless network capabilities in supporting emerging applications like virtual reality and connected vehicles. The key objectives...
- The Texas A&M Engineering Experiment Station was awarded a $325,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year grant, awarded October 1, 2021 and set to be completed by September 30, 2024, will support research into developing low-complexity algorithms for unsourced multiple access and compressed sensing in large...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Utah $120,260 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enhanced reconfigurable terahertz CMOS transceiver panels for next-generation wireless communication systems. The collaborative research effort, which runs through September 30, 2029, and is performed in Salt Lake City, Utah, brings together investigators from...
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 environments. Work focuses on four technical thrusts: developing realistic channel models and datasets using experimental platforms with programmable reflective surfaces; designing AI models that proactively configure beams and reflective surfaces to prevent connection problems; improving model generalization through environmental context information from integrated sensing and communication with continual learning; and providing rigorous evaluation through combined simulation and measurement in dynamic indoor and outdoor-to-indoor scenarios. The research addresses delivery of fast, stable, and reliable wireless connections inside buildings and from outdoors to indoors using smart programmable surfaces placed on walls to redirect signals around obstacles. Performance occurs in College Station, Texas through September 30, 2029. The project is collaborative, bringing together investigators from Tennessee Tech University, Texas A&M, and other participating institutions. Applications enabled by the research include augmented reality, virtual reality, remote healthcare, and advanced manufacturing.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $250.0k | 8/4/26 |