Federal Project Grant Award Summary

Cornell University's Office of Sponsored Programs received a $361,979 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070), awarded July 1, 2025, with a completion date of June 30, 2026. The award, administered through the Office of Advanced Cyberinfrastructure, funds the development of computational cyberinfrastructure for data-enabled forward and inverse uncertainty quantification in cardiovascular fluid-structure simulations. The project leverages scientific machine learning and multi-fidelity physics-informed Bayesian geometric deep learning to integrate medical imaging data (such as flow magnetic resonance images) with traditional physics-based cardiovascular models, thereby enhancing predictive confidence and supporting personalized clinical diagnostics and therapeutics.

In addition to the research deliverables, the project incorporates a significant STEM education component designed to broaden student engagement across K-12, undergraduate, and graduate education levels. The PI will develop pedagogical software using physics-informed transfer learning for interactive fluid simulation and create new instructional modules on artificial intelligence and mechanics for U.S. Department of Education TRIO programs, with specific outreach targeting low-income students. These dual research and education outcomes align with the CISE program's mandate to advance research cyberinfrastructure while addressing workforce development challenges in computing and information science.