Project Grant 2613874
- 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 Office of Advanced Cyberinfrastructure awarded the University of Alabama $300,000 on August 1, 2026, under the Computer and Information Science and Engineering program to develop and deliver an integrated cybertraining curriculum targeting system security and cyberinfrastructure skills for connected and automated vehicles (CAV-CI). The University of Alabama, located in Tuscaloosa, Alabama, will establish a cybertraining pilot program delivering an intensive summer...
- The National Science Foundation awarded a $175,000 Project Grant to the University of Alabama from May 2021 through April 2023 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop cyber resilient localization and navigation technologies for autonomous vehicles. The Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and information science...
- Federal Grant Award Summary The University of Alabama received a $364,155 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) for the period January 1, 2026 through December 31, 2028. The award funds research and development of uncertainty-aware monitoring techniques for autonomous cyber-physical systems, addressing critical safety assurance gaps in complex...
- 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...
- This $272,238 Project Grant, awarded on July 15, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enhance the safety and reliability of autonomous vehicles. The project aims to identify vulnerabilities in the software and machine learning components of autonomous vehicle systems, and develop mitigation techniques to improve their overall resilience. The research will combine model-based and...
- The National Science Foundation awarded the University of Alabama $327,717 on February 1, 2026, under the STEM Education program (CFDA 47.076) to develop a new curriculum on artificial intelligence security threats to robotic systems. The project runs through May 31, 2027, with place of performance in Tuscaloosa, Alabama. The University of Alabama is developing seven self-contained, adaptive instructional modules addressing AI security in robotics, covering attack surfaces and penetration...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Alabama $599,981 on August 1, 2026, under the Engineering program (CFDA 47.041) to develop advanced control methodologies for autonomous systems operating in dynamic and uncertain environments. The research addresses safety and performance challenges in autonomous systems deployed across transportation, manufacturing, environmental monitoring, and space exploration. The project...
- This $1,499,949 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance the safety of autonomous vehicle (AV) systems. The key focus areas include: Developing rational machine learning (ML) models that can accurately predict driving decisions based on valid rationales, rather than inappropriate extrapolations from common scenarios. Integrating hardware reliability into the...
- This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
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 pipeline. The work includes integrity-aware sanitization methods using physical consistency and model-sensitivity checks to identify or down-weight questionable sensor inputs; cryptographic influence graphs that track how data and transformations affect model states and decisions; and provenance-guided detection, attribution, and recovery methods to identify data sources associated with failures and support system recovery from corrupted data. The framework will be evaluated using a campus-scale autonomous vehicle testbed and multimodal sensor data from realistic operating conditions in Tuscaloosa, Alabama. Expected outputs include methods, tools, datasets, and educational activities intended to support reproducible research, broaden training in AI security and cyber-physical systems, and enable researchers and practitioners to design autonomous systems that are more transparent, resilient, and accountable. Performance runs through June 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $900.0k | 7/20/26 |