Project Grant 2540790
- Federal Project Grant Award Summary Iowa State University of Science and Technology received a $200,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 1, 2025 through July 31, 2028. This collaborative research project will develop model-free statistical methodology and resampling techniques for analyzing complex data without requiring stringent assumptions about...
- Federal Project Grant Award Summary Iowa State University of Science and Technology received a $549,499 Faculty Early Career Development (CAREER) Project Grant from the National Science Foundation's Directorate for Engineering (CFDA 47.041), effective September 1, 2026 through August 31, 2031. The award funds integrated research and education to develop autonomous artificial intelligence (AI) agents that enable computer-based engineering designs to be reliably translated into real-world systems....
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences has awarded $247,985 to The University of Iowa for a three-year project (August 1, 2025 – July 31, 2028) under the Mathematical and Physical Sciences program (CFDA 47.049). This project grant supports fundamental research on rigidity results for von Neumann algebras and equivalence relations, advancing theoretical understanding in this critical area of mathematics. The principal investigator...
- Federal Grant Award Summary The University of Iowa received a Project Grant of $257,995 from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049) awarded June 15, 2025, with completion scheduled for May 31, 2028. This three-year research initiative focuses on rigidity theory of von Neumann algebras and its interdisciplinary applications across C*-algebras, geometric group theory, and continuous model theory. The project aims to develop innovative classification...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $515,000 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2030. The project will develop principled methods and algorithms for multi-task representation learning in bandit and reinforcement learning settings, with...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $281,836 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) effective September 1, 2025, through August 31, 2028. This collaborative research project develops machine learning techniques to advance computational wave imaging applications across materials science, medicine, and geoscience. The primary deliverables...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $487,608 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded September 15, 2025, with completion targeted for August 31, 2028. The project investigates design principles of gene regulatory networks (GRNs) through the biological concept of canalization—the mechanism by which these networks maintain...
- Federal Project Grant Award Summary Iowa State University of Science and Technology received a $320,525 CAREER grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025, through July 31, 2030. This project grant supports the development of novel conformal inference models and algorithms designed to enable reliable uncertainty-aware...
- Federal Grant Award Summary Iowa State University of Science and Technology received a $125,627 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. This collaborative research project will develop advanced statistical methods and computational tools for analyzing large-scale biomedical imaging data and uncovering causal relationships between treatments/exposures...
- Federal Project Grant Award Summary Iowa State University received a $549,689 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 October 1, 2026, through September 30, 2031. This CAREER award funds development of topology-driven uncertainty visualization tools and techniques designed to help scientists analyze and communicate uncertainty in large-scale...
Iowa State University received a $239,160 CAREER (Faculty Early Career Development) 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, 2031. The award funds research and educational activities in equivariant analysis—a mathematical framework for conducting analysis without arbitrary reference points or origins. The project aims to develop theoretical foundations for random analytic objects, including random entire functions and random solutions to partial differential equations, by synthesizing concepts from descriptive set theory, dynamical systems, and classical analysis. The deliverables include rigorous mathematical theory and pedagogical training for graduate students in advanced analytical techniques drawn from ergodic theory, group dynamics, probabilistic methods, and geometric constructions such as Voronoi and Delaunay decompositions. The research outputs are positioned to generate broader impact through their methodological overlap with machine learning and autonomous systems design, where ergodicity principles, Markov chain mixing theory, and Voronoi partitions serve as foundational tools. The work will be conducted at Iowa State University's campus in Ames, Iowa, and is expected to contribute foundational knowledge to the mathematical sciences enterprise while building technical capacity relevant to contemporary computational and engineering applications.Federal Project Grant Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $239.2k | 6/30/26 |