Project Grant 2549601
- The National Science Foundation Division of Computing and Communication Foundations awarded The University of Iowa $208,605 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop human-centered, trustworthy automated video surveillance technologies that reduce operator burden while maintaining verifiable decision-making in safety-critical settings. The project will develop a framework for automated video surveillance using vision-language...
- The National Science Foundation Division of Computing and Communication Foundations awarded Auburn University $561,467 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a principle-driven framework for active embodied vision enabling intelligent agents to discover object functional affordances through autonomous radiance manifold exploration. The research will develop a persistent three-dimensional scene model integrating geometry,...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $125,718 to Auburn University to develop a computer vision-based algorithm for event understanding from streaming video. The key objectives are to integrate continuous deep learning representations with symbolic graph-based representations, leverage commonsense knowledge to go beyond closed-world assumptions, model event dynamics on graph...
- The National Science Foundation Division of Computing and Communication Foundations awarded Auburn University $482,441 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a human-centered theoretical framework for augmented reality interfaces. The project will synthesize knowledge from industry, academia, and policy to create validated design guidelines for AR displays that prioritize user safety and usability. Auburn University will...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Alabama $600,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a theoretical framework that bridges natural language and formal planning for autonomous systems. The project addresses the challenge of enabling autonomous systems to interpret high-level human instructions and generate safe action sequences without low-level...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Alabama $415,000 on May 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to operate a renewed Research Experiences for Undergraduates site focused on trustworthy artificial intelligence and cybersecurity for intelligent vehicles and transportation systems. Undergraduate students from computer science, transportation systems engineering, and...
- The National Science Foundation Division of Graduate Education awarded Auburn University $299,978 on July 1, 2026, under the STEM Education program (CFDA 47.076) to develop and evaluate a modular curriculum framework for cybersecurity and artificial intelligence education. Auburn will design, prototype, and evaluate instructional materials addressing AI-native cyber threat environments and agentic AI concepts within cybersecurity instruction. The project scope includes developing reusable...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded $900,000 to the University of Alabama on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop data integrity, provenance, and recovery methods for learning-enabled autonomous vehicles. The project addresses trustworthiness and resilience of AI systems in autonomous vehicles by developing an integrated framework that operates across the sensor-to-decision...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of North Carolina at Chapel Hill $343,839 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI systems capable of watching videos of real-world events, understanding what is happening at multiple levels of detail, reasoning about causes and consequences, and translating that understanding into purposeful action. The project will...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Illinois $269,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-driven cross-camera video analytics through networked co-learning. The project addresses the fragmentation of multi-camera surveillance systems, which currently operate as independent feeds rather than integrated views. The University of Illinois and George Mason...
The National Science Foundation Division of Computing and Communication Foundations awarded Auburn University $208,605 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop human-centered automated video surveillance technologies using vision-language models. The project will create a framework for more accurate, understandable, and trustworthy automated video surveillance systems that reduce operator burden in safety-critical settings including traffic monitoring, workplace safety, public safety, and crime analysis. The research comprises three coordinated activities: a verbalized learning approach enabling vision-language models to generate human-understandable concepts and explicit rationales for anomalous event detection; spatiotemporal synthesis methods integrating information across long video sequences and multi-camera settings to describe and explain complex events; and verification mechanisms allowing human operators to verify report origin and assess trustworthiness. The award runs through July 31, 2029, with place of performance at Auburn University in Auburn, Alabama. The project will engage undergraduate and graduate students in research, integrate materials into artificial intelligence and computer vision courses, and publicly release models, datasets, software tools, and educational resources to support workforce development and strengthen research and education capacity in Iowa and Alabama.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $208.6k | 7/26/26 |