Project Grant 2605580
- 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 awarded Auburn University a $498,762 project grant under the Engineering program (CFDA 47.041) to develop federated deep learning techniques for distributed additive manufacturing. The two-year award beginning September 1, 2021 will support Auburn University's work to create a federated deep learning framework that enables ubiquitous distributed additive manufacturing across networked nodes. Auburn University will collaborate with sub-awardees the University of...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $500,000.00 to The University of Alabama in Huntsville (UAH) to conduct fundamental research on improving how engineers formulate, analyze, and validate engineering problem spaces. The award, which runs from March 1, 2025 to February 28, 2030, supports the development of a new theoretical foundation that integrates rigorous logic-based methods with real-world engineering practice....
- The National Science Foundation awarded Auburn University a $299,941 Project Grant under the STEM Education (CFDA 47.076) federal grant program. The two-year award, made on May 1, 2021 and concluding on April 30, 2023, will support the development of transformative educational approaches to meld artificial intelligence and cybersecurity mindsets. As the sole awardee, Auburn University will leverage the funding to deliver educational programming and training focused on integrating artificial...
- Auburn University was awarded a $349,846 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research efforts to address the memory bottleneck problem impacting deep learning hardware through co-optimization of on-chip and off-chip memory system design with AI/DL hardware architecture. Key activities include utilizing emerging magnetic random access memory, chiplet, and packaging...
- Auburn University was awarded a $391,099 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) for the period of September 1, 2021 through August 31, 2024. The grant funds an REU Site project titled "RESEARCH EXPERIENCE THROUGH COLLABORATIVE TEAMS IN BIOPROCESSING FOR CONVERSION OF WASTE INTO PRODUCTS OF VALUE." The project provides undergraduate students research experiences working collaboratively on teams conducting bioprocessing research aimed at...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $500,000 to the University of Arizona on October 1, 2026, under the Engineering program (CFDA 47.041) to develop a community-driven benchmarking framework for evaluating trustworthy generative AI in architecture, engineering, and construction. The project, supported through a GOALI (Grant Opportunity for Academic Liaison with Industry) award, addresses safety risks posed by generative AI systems...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Auburn University $207,623 as a project grant effective October 1, 2026 through September 30, 2029 under the Engineering program (CFDA 47.041). The award funds research to develop computational methods, models, and control strategies for safely and efficiently restoring drinking water systems after mains repair, replacement, or network expansion. The research will create physics-based models...
- This federal Project Grant award of $399,694 from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) supports the development of comprehensive experiential learning modules in lean manufacturing and the use of state-of-the-art manufacturing facilities at Auburn University to enhance learning outcomes beyond traditional classroom instruction. The project aims to serve the national interest by improving manufacturing education and learning for diverse learners, including...
- The National Science Foundation Division of Mathematical Sciences awarded Auburn University $299,602 on August 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a mathematically rigorous framework for amortized Bayesian inference in partial differential equation-constrained inverse problems. The project establishes convergence theory and error bounds for a new computational method that performs inference in a single fast step without repeated simulation,...
The National Science Foundation Division of Engineering Education and Centers awarded Auburn University $200,000 on September 1, 2026, for a research initiation project exploring how generative AI impacts problem formulation in systems engineering education. The project investigates the effects of generative AI use on how engineering students learn to formulate problems—a foundational capability underpinning professional engineering practice. Problem formulation tasks including requirements development define and frame the problems engineers subsequently solve. The research addresses concern that generative AI may enable cognitive offloading that circumvents intended learning, potentially preparing an engineering workforce inadequately equipped for complex problem definition. The project will generate foundational evidence on how generative AI impacts learning to formulate problems and will enable new educational approaches and assessments, ensuring future engineers graduate with technical expertise to address critical national challenges. The work aligns with the program's goals of advancing professional engineer formation and expanding the engineering education research community, while addressing the national funding priority to understand economic and societal impacts of growing AI adoption. Auburn University, a public land-grant research institution headquartered in Auburn, Alabama, serves as the recipient and will conduct the work. Performance occurs at Auburn University in Auburn, Alabama. The project runs from September 1, 2026, through August 31, 2028, funded under the Engineering program (CFDA 47.041).
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/23/26 |