Project Grant 2619078
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Texas A&M University $120,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and private fine-tuning of large language models. The research addresses the challenge of adapting general-purpose large language models to specialized tasks without requiring substantial computing resources or access to sensitive...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The University of Texas at San Antonio $120,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and privacy-preserving fine-tuning of large language models. The research addresses computational and data-sensitivity barriers that constrain small organizations, universities, healthcare institutions, and resource-limited...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Pennsylvania State University $400,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support collaborative research on neuro-AI foundations for long-range dependency tasks. The project addresses fundamental challenges in enabling spiking neural networks to efficiently handle long-range dependencies and generative tasks for edge-based AI...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Pennsylvania State University $335,119 on August 1, 2026, under the Engineering program (CFDA 47.041) to develop data-driven agentic artificial intelligence approaches for multidisciplinary design optimization of autonomous engineered systems. The project will create computational and data-enabled solutions that reduce design time and cost across systems involving interactions across...
- The National Science Foundation Division of Computing and Communication Foundations awarded The Pennsylvania State University $369,905 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop educational materials, practical tools, and a website enabling high school and undergraduate learners to investigate how large language models handle copyrighted and private information, collect evidence of vulnerabilities, and communicate their...
- The National Science Foundation Division of Computer and Network Systems awarded The Pennsylvania State University $350,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop jurisdiction-aware copyright protections for large language models. The project addresses copyright vulnerabilities in LLMs by creating a technical framework that connects model training, real-time inference, and post-deployment refinement. The work includes...
- The Pennsylvania State University, doing business as Penn State, was awarded a $599,096 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The three-year award, effective June 1, 2024, will fund research towards "Efficient Adaptive Federated Learning: Algorithms, Theories, and Applications." The project aims to (1) improve the communication efficiency of adaptive federated learning...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Pennsylvania State University $400,000 on August 15, 2026, under the Engineering program (CFDA 47.041) for theoretical and algorithmic foundations research in provable safe inverse reinforcement learning. The project develops theory and algorithms enabling AI systems to learn both reward functions and safety constraints from demonstrations, addressing applications in robotics, healthcare, and...
- Federal Project Grant Summary The Pennsylvania State University received a $180,000 Project Grant awarded October 1, 2025, by the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This collaborative research initiative addresses security vulnerabilities in Large Language Model (LLM)-integrated applications through a systematic investigation of prompt injection attacks—a class of...
- Federal Project Grant Award Summary The Pennsylvania State University received a $100,000 Project Grant award dated July 15, 2025, from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "Accelerating LLM Safety Research with Self-Evolving Evaluation Infrastructure," aims to develop an open, community-driven evaluation framework to assess Large Language...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Pennsylvania State University $270,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and privacy-preserving fine-tuning of large language models. The research addresses the challenge of adapting general-purpose LLMs to specialized tasks without requiring substantial computing resources or sensitive domain-specific data access. The project investigates how changes made during fine-tuning follow structured patterns representable in low-dimensional spaces, developing methods that achieve performance comparable to full-parameter fine-tuning while reducing financial and energy costs. The work includes four connected research thrusts centered on dynamically constructing and updating informative subspaces for model adaptation. The award supports workforce development through new course content, laboratory modules, and hands-on research experiences for undergraduate and graduate students. Pre-college outreach activities at Penn State introduce middle and high school students to modern AI and engineering. Work is performed in State College, Pennsylvania, with a period of performance extending from January 1, 2027 through December 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $270.0k | 8/14/26 |