Project Grant 2534238
- The National Science Foundation Division of Computer and Network Systems awarded the University of Texas at Austin $600,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a function encoder framework for transferable and adaptive cyber-physical intelligence in metal additive manufacturing. The award funds research developing learning-enabled control systems that generalize knowledge across tasks, adapt to changing operating...
- Federal Project Grant Award Summary Rensselaer Polytechnic Institute received a $598,744 project grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2025, through August 31, 2028. The award supports research titled "Neuro-Symbolic Integration with Probabilistic Graphical Models Towards Data Efficient, Generalizable, and Interpretable Deep...
- The National Science Foundation Division of Computer and Network Systems awarded New York University $600,000 on March 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for a U.S.–Ireland research and development partnership developing integrated modeling, analysis, and control frameworks to enhance resilience and safety in industrial control systems under cyber and physical threats. The project, performed in New York, New York, addresses how attacks...
- The National Science Foundation (NSF) has awarded a $268,902 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Rensselaer Polytechnic Institute (RPI). The grant, effective June 15, 2024 through May 31, 2027, supports RPI's research on "Collaborative Research: CPS: Small: Neuro-Symbolic Bridge: From Perception to Estimation & Control". The project aims to address the fundamental mismatch between the uncertainty of...
- Federal Project Grant Award Summary Rensselaer Polytechnic Institute received a $360,000 project grant awarded September 1, 2025, through the National Science Foundation (NSF) Engineering program (CFDA 47.041), with completion targeted for August 31, 2028. Funded by NSF's Division of Electrical, Communications and Cyber Systems, this project delivers a theoretically principled framework for performing accurate hypothetical interventions on complex large networked systems—including...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Rensselaer Polytechnic Institute $200,000 on August 1, 2026, for collaborative research developing DATA-AGENT, a methodological and software cyberinfrastructure platform for data-centric artificial intelligence in vision-based industrial inspection. The project will deliver open-source software, datasets, tutorials, benchmark challenges, and training materials addressing three fundamental research...
- 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 Rensselaer Polytechnic Institute $299,935 on July 1, 2026, under the Engineering program (CFDA 47.041) to develop decentralized multi-agent reinforcement learning algorithms that enable multiple autonomous decision-makers to learn safe and efficient operation in dynamic, competitive environments without relying on central coordination. The project addresses foundational challenges in safe learning...
- The National Science Foundation Division of Graduate Education awarded The Research Foundation For The State University Of New York $330,000 on August 1, 2026, to develop and disseminate a scalable, low-cost toolkit for hands-on education in securing artificial intelligence-enabled manufacturing systems. The award funds development of a six-module experiential curriculum covering trustworthy AI foundations, agentic threat detection, retrieval-augmented generation for defensive knowledge...
- The National Science Foundation Division of Computer and Network Systems awarded Virginia Polytechnic Institute & State University $449,812 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enabled modeling, sensing, digital twins, and autonomous control systems for large-area additive manufacturing using laser wire directed energy deposition. The project establishes a cyber-physical systems framework for real-time prediction...
The National Science Foundation Division of Computer and Network Systems awarded Rensselaer Polytechnic Institute $600,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a function encoder framework for transferable and adaptive cyber-physical intelligence in metal additive manufacturing. The research develops learning-enabled control systems that generalize knowledge across tasks, adapt to changing operating conditions in real time, and integrate physical principles governing the systems they control. The central innovation uses function encoders—neural representations that learn compact function-space bases reusable across tasks, environments, and system configurations. While motivated by robotic and hybrid manufacturing systems combining additive and subtractive operations, the resulting methods apply broadly across diverse cyber-physical domains. The project comprises three thrusts: foundations for transfer learning using function-space representations with generalization guarantees and uncertainty quantification; real-time adaptation mechanisms; and physics-informed modeling integration. The work supports workforce development through research training, curriculum development, and STEM outreach. Performance occurs in Troy, New York. The period of performance runs through July 31, 2029. The assistance type is a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/5/26 |