Project Grant 2622263
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of California, Berkeley $150,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop mathematical foundations for reinforcement learning and generative artificial intelligence systems. The project will establish stochastic analysis, stochastic control, and optimization theory for three interconnected research directions: continuous-time reinforcement learning...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $500,000 to the University of Arizona on October 1, 2026, under the Engineering program (CFDA 47.041) to develop a community-driven benchmarking framework for evaluating trustworthy generative AI in architecture, engineering, and construction. The project, supported through a GOALI (Grant Opportunity for Academic Liaison with Industry) award, addresses safety risks posed by generative AI systems...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of California Irvine $650,000 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop design automation methods for resilient and interpretable neural architectures for safety-critical systems. The project develops new methods for designing and evaluating neural network models that are resilient to faults and easier to interpret, using a...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the Regents of the University of California (University of California, Berkeley) $500,000 on August 15, 2026, under the Engineering program (CFDA 47.041) to develop AI-enabled learning and control techniques for nonlinear systems operating in adversarial environments. The project addresses the vulnerability of complex dynamical systems—including power grids, autonomous vehicles, and other...
- The National Science Foundation Division of Computer and Network Systems awarded the Regents of the University of California at Riverside $573,377 on June 1, 2026, under the Computer and Information Science and Engineering program to develop formal methods and AI frameworks for safe, reliable, and interpretable robotic teleoperation in high-risk settings including surgery, disaster response, and space or nuclear operations. The project creates a unified framework integrating AI foundation models...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of California Irvine $442,320 on July 15, 2026, for research into multi-agent spatial coverage via variational inference under the Engineering program (CFDA 47.041). The project develops theoretical foundations for deploying autonomous, interconnected agents—such as robotic teams, drones, and sensor networks—to provide spatial coverage during dynamic large-scale events including...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the Regents of the University of Michigan $150,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop mathematical foundations for reinforcement learning and generative artificial intelligence systems. The project will use stochastic analysis, stochastic control, probability theory, and optimization to establish theory and algorithms for continuous-time reinforcement...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of California Irvine $605,580 on October 1, 2026, under the Engineering assistance program (CFDA 47.041) to develop modular shared robot learning systems that enable non-expert users to teach robots new tasks with reduced demonstration burden. The project combines shared learning—reusing knowledge gained from teaching one robot across different environments, tasks, hardware, and user...
- The National Science Foundation (NSF) awarded the University of California, Los Angeles (UCLA) a $539,999 project grant under the Computer and Information Science and Engineering (CISE) program. The grant, effective October 1, 2023 through September 30, 2026, will fund a collaborative research project to develop formal verification frameworks and training/inference algorithms to ensure the safety and adherence to constraints of AI-based sequential generation models across critical applications...
- The University of California Irvine received a $299,999 National Science Foundation Project Grant under the Engineering federal grant program (CFDA 47.041) for work on "HYPERDIMENSIONAL NEURAL COMPUTATION FOR REAL-TIME COGNITIVE LEARNING." The grant period runs from September 15, 2021 through August 31, 2024 in Irvine, California. The NSF Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research and...
The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded University of California Irvine $390,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop control-theoretic foundations for trustworthy generative artificial intelligence in safety-critical engineering systems. The research establishes mathematical and control-theoretic methods to make generative AI safe, coordinated, and reliable for autonomous and networked systems operating in the physical world, including robot motion planning, autonomous vehicles, and networked infrastructure. The project develops techniques that certify satisfaction of hard constraints throughout generative sampling processes, accounting for reduced-order representations and uncertainty in dynamics and constraints inferred from data. The work addresses distributed and feedback-coupled settings where current generative AI methods, designed without engineering safety requirements in mind, cannot be confidently deployed. Performance occurs in Irvine, California, with a period of performance from October 1, 2026, through September 30, 2029. The award supports training of undergraduate and graduate students at the intersection of control engineering and machine learning, hands-on instruction through a multi-robot laboratory, and open dissemination of software, data, and educational materials to the research and education communities. The research advances national interests by enabling trustworthy AI technologies that improve safety and reliability of autonomous and networked systems while strengthening scientific foundations of engineering decision-making in transportation, robotics, and infrastructure.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $390.0k | 7/31/26 |