Project Grant 2603774
- Federal Grant Award Summary Florida State University's Sponsored Research Administration Division received a $249,013 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) effective August 1, 2026, with a completion date of July 31, 2029. This collaborative research project develops mathematical and computational tools to accelerate optimal transport-based comparisons for complex data analysis. The core deliverable is the creation of...
- Federal Project Grant Award Summary Vanderbilt University received a $397,084 Project Grant awarded June 1, 2026, from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The five-year project, concluding May 31, 2031, delivers research and development services focused on enhancing artificial intelligence tools for software engineering through human-centered design methodologies. The...
- Federal Project Grant Award Summary Vanderbilt University received a $149,998 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041 - Engineering program) effective May 1, 2025, through April 30, 2028. This collaborative research initiative delivers deep learning (DL)-based methodologies and computational frameworks for automatically discovering and learning the governing equations of traffic dynamics, with particular...
- Federal Grant Award Summary Vanderbilt University received a $200,000 Project Grant award effective August 1, 2025, through July 31, 2028, 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). This collaborative research initiative focuses on developing advanced graph retrieval techniques for retrieval-augmented generation (RAG) systems that enhance generative artificial...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded Columbia University $155,000 on August 1, 2025, under the Mathematical and Physical Sciences (CFDA 47.049) program to develop adaptive data integration methodologies for heterogeneous datasets. Over the three-year project period (August 1, 2025 – July 31, 2028), the award will deliver three primary research thrusts: transfer learning methods for integrating multi-source samples...
- Federal Project Grant Award Summary Vanderbilt University received a $431,236 CAREER (Faculty Early Career Development) Project Grant awarded on August 15, 2026, by the National Science Foundation's Division of Biological Infrastructure under the Biological Sciences program (CFDA 47.074). The five-year award, extending through July 31, 2031, supports the development of an integrated computational framework for spatial transcriptomics data analysis and three-dimensional tissue reconstruction. The...
- Federal Grant Award Summary Vanderbilt University received a $1.2M project grant awarded September 1, 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 "Intelligent Cyber Microscopy System for Long-Term Microscope Imaging" (ICMS), will develop an AI-powered cyber-physical system that transforms biological microscopy capabilities through the...
- Federal Project Grant Award Summary Georgia TECH Research Corp received a $204,069 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded July 15, 2025, with completion targeted for June 30, 2028. The award supports fundamental research on optimal transport theory, regularity analysis, and branched microstructures—mathematical frameworks applicable to resource allocation, quantum...
- Federal Project Grant Award Summary Vanderbilt University Medical Center received a $450,000 Project Grant from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084), effective October 1, 2025, through September 30, 2028. The award funds research to develop an end-to-end framework for privacy-preserving sharing of machine learning (ML) models trained on sensitive healthcare data. The project addresses a critical barrier to medical research...
- Federal Grant Award Summary Vanderbilt University received a $593,598 Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2028. The award funds development of variational quantum computing algorithms designed to simulate the deformation response of hyperelastic and elasto-viscoplastic solids—materials critical to applications in...
Vanderbilt University received a $149,835 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective August 1, 2026 through July 31, 2029. This collaborative research project develops generalized slicers—mathematical and computational tools designed to accelerate optimal transport algorithms for comparing complex datasets. The work addresses a critical computational bottleneck in modern artificial intelligence and machine learning systems by creating geometry-aware methods to simplify large-scale data while preserving analytical integrity, thereby enabling efficient computation of transport-based dissimilarities and data alignment across datasets containing millions of measurements, including complex objects such as text, images, videos, and sensor readings. The project delivers both theoretical advances and practical computational tools intended to improve scalability and interpretability of optimal transport applications. Expected outcomes include open-source software, enhanced methods for analyzing biological data across developmental stages, improved engineering diagnostics for detecting damage in vehicles and infrastructure through sensor analysis, and development of the next generation of mathematical and computational scientists. By creating mathematically grounded data analysis and alignment capabilities, the research aims to advance data-driven scientific discovery across biomedical, engineering, and other scientific domains.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $149.8k | 6/25/26 |