Project Grant 2551281
- The National Science Foundation Division of Computer and Network Systems awarded the University of New Mexico $320,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a control-theoretic framework for reliable and robust deep neural networks with application to space cyber-physical systems. The project formulates deep neural network training as a distributional control problem, leveraging optimal and robust control theory techniques...
- The National Science Foundation Division of Computer and Network Systems awarded The Leland Stanford Junior University $320,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a control-theoretic framework for certifying deep neural networks deployed on spacecraft. The project addresses the challenge of certifying learning-enabled components operating continuously aboard spacecraft by formulating deep neural network training as a...
- The National Science Foundation Division of Computer and Network Systems awarded Georgia TECH Research Corp six hundred thousand dollars on July 15, 2026, for research on cybersecurity in remotely controlled robots under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops a security framework protecting remote-controlled and cloud-connected systems by performing control computations directly on encrypted data while embedding a detection mechanism that...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Georgia TECH Research Corp $495,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop differentiable reachability analysis for scalable verification and safe training of neural network controllers. The project will create mathematical theory and algorithmic tools that integrate safety verification directly into the design of learning-based feedback control systems, rather...
- The National Science Foundation awarded a $500,000 Project Grant to the Georgia Tech Research Corporation from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research on developing error resilient signal processing and control techniques using real-number function encoding, with a focus on applications to nonlinear systems ranging from adaptive filters to deep neural networks. The award supports...
- 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 Computing and Communication Foundations awarded Georgia TECH Research Corp $354,774 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds development of computational tools that connect natural animal behavior to brain activity, with the goal of understanding how the brain supports flexible decision-making in complex environments. The work will employ inverse reinforcement learning...
- 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 Computing and Communication Foundations awarded a $150,000 Project Grant to the Georgia TECH Research Corporation, doing business as the Office Of Sponsored Programs, for collaborative research titled "Foundations of Deep Learning: Theory, Robustness, and the Brain?" from December 1, 2021 through November 30, 2024. The research funded under this award will explore deep learning theory, robustness, and applications for understanding brain...
- The National Science Foundation awarded a $472,060 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of North Texas for the period of May 15, 2023 to April 30, 2026. The grant supports the development of an enhanced open networked airborne computing platform to facilitate design, implementation, and testing of integrated control, computing, communication, and networking capabilities for airborne applications. Key deliverables include...
The National Science Foundation Division of Computer and Network Systems awarded Georgia TECH Research Corp $360,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a control-theoretic framework for reliable and robust deep neural networks with application to space cyber-physical systems. The project formulates deep neural network training as a feedback control design problem, leveraging optimal and robust control theory techniques to address uncertainty, noise, stability, expressiveness, and robustness in learning-enabled components for spacecraft autonomy. The work is conducted in collaboration with the Space Vehicles Directorate of the Air Force Research Laboratory and aims to enable certification of learning-enabled components in continuous operation aboard space-borne platforms, advancing trusted autonomy for future space missions. The research involves three principal investigators and includes graduate and undergraduate student training, peer-reviewed publications, workshops and seminars, and public engagement through media outreach. Work is performed in Atlanta, Georgia, with a period of performance through July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $360.0k | 8/11/26 |