Project Grant 2541224
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded The Leland Stanford Junior University a CAREER grant totaling $414,320 on June 1, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop error-resilient algorithmic solutions for emerging hardware technologies. The project will deliver software tools and mathematical foundations enabling artificial intelligence (AI) algorithms...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant under the Engineering program (CFDA 47.041) to the University of California, Santa Barbara, effective April 15, 2026, through March 31, 2031. This project grant supports foundational research and algorithm development in Large Language Model (LLM) watermarking techniques designed to embed hidden, decodable signals into AI-generated text. The...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a five-year CAREER grant totaling $405,207 to the University of Minnesota, effective May 1, 2026 through April 30, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project grant funds research and development of automated software testing techniques designed to enhance software quality and development efficiency. The primary...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Rhode Island a Project Grant of $341,343 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports the development of tools and methodologies to help data scientists anticipate and prevent unintended systemic errors in machine learning...
- Federal Grant Award Summary Purdue University received a $391,123 CAREER award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective September 1, 2026 through August 31, 2031. The project develops novel formal methods techniques and a trustworthy framework for software developers to rigorously explore, examine, and understand the behavior of potentially flawed...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $506,819 CAREER grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the five-year period from September 1, 2025, through August 31, 2030. This project delivers innovative evaluation methodologies for artificial intelligence (AI) agents by combining online and offline data approaches. The...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $450,000 under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of California at Riverside for a three-year project (October 1, 2025 – September 30, 2028). The project develops research outputs focused on integrating Large Language Models (LLMs) with existing program analysis tools to improve software vulnerability...
- Federal Grant Award Summary Washington State University received a $326,994 CAREER (Faculty Early Career Development) Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), effective June 1, 2026 through May 31, 2031. The award supports research and development of novel methodologies for improving the reliability and adaptability of foundation models—large...
- Federal Grant Award Summary This NSF CAREER award, totaling $560,000 and administered through the Engineering program (CFDA 47.041), funds a five-year project (April 1, 2026 – March 31, 2031) at Rochester Institute of Technology to develop adaptive machine learning systems capable of continuous learning without catastrophic forgetting. The primary deliverables include fundamental algorithms and theoretical frameworks for continual learning that leverage Bayesian uncertainty quantification,...
- Federal Project Grant Award Summary UC San Diego received a $381,276 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems (CISE program, CFDA 47.070) effective June 15, 2025, through May 31, 2030. The project delivers advanced machine reasoning capabilities by systematically integrating world models into the design, training, and application of next-generation reasoning algorithms. The research focuses on three primary innovation areas: new...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a CAREER grant totaling $315,154 to the Regents of the University of California at Riverside on July 1, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, "Redefining Testing Foundations for Heterogeneity-Aware AI Compilation," will operate through June 30, 2031, and develops a cross-layer testing framework to improve the reliability and trustworthiness of artificial intelligence (AI) systems deployed across diverse computing hardware platforms. The research outputs include new testing methodologies and tools that automatically identify hidden deployment failures in AI model compilation software, which may otherwise silently alter outputs without causing visible system crashes. The research comprises three integrated components: automated constraint mining to expose implicit assumptions in model specifications and hardware resource limits; targeted constraint negation as a novel test guidance mechanism to drive testing toward failure-prone areas; and equivalent model analysis techniques. Beyond the core research deliverables, the award supports broader impacts through creation of interdisciplinary educational materials, open-source tools, and curriculum resources designed to strengthen workforce development in dependable AI systems and heterogeneous computing. This CAREER award reflects NSF's commitment to advancing foundational research in computing while building national research capacity through early-career investigator support.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $315.2k | 5/7/26 |