Project Grant 2543989
- Federal Grant Award Summary Rice University received a $264,299 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), awarded January 1, 2026, with completion targeted for September 30, 2026. This collaborative research initiative focuses on developing a communication reduction methodology that integrates graph locality enhancement and compression techniques...
- The National Science Foundation (NSF) awarded a $206,043 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to William Marsh Rice University in Houston, Texas. The grant funds the Rice Collaborative Object Store, which provides production-level data storage, access, and transfer services to support computationally intensive research across fields like modeling and simulation, AI/machine learning, geospatial analysis, and bioengineering. The new...
- Federal Project Grant Award Summary William Marsh Rice University received a $599,360 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective July 1, 2026, through June 30, 2029. The award funds research investigating the computational complexity and approximability of quantum many-body systems, with particular focus on determining how difficult it is to...
- Federal Project Grant Award Summary Rice University received a $343,612 Project Grant award from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective July 1, 2025, through June 30, 2028. This grant supports the development of fast volumetric integral equation solvers—advanced numerical methods designed to efficiently solve complex physical problems involving nonlinearities and spatially-varying media. The...
- Federal Project Grant Award Summary William Marsh Rice University received a $540,000 project grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) for the period October 1, 2025 through September 30, 2028. The award supports the development of tunable opto-electric network architectures designed to advance energy-efficient and high-performance cloud computing infrastructure. The...
- Federal Grant Award Summary William Marsh Rice University received a $350,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective July 1, 2025, through June 30, 2028. The award supports the development of robust and efficient numerical algorithms for solving nonlinear wave equations in second-order form. These computational tools are designed to accurately and efficiently simulate...
- Federal Grant Award Summary Rice University received a $461,045 Project Grant from the National Science Foundation's Division of Atmospheric and Geospace Sciences under the Geosciences program (CFDA 47.050), effective September 1, 2025 through August 31, 2030. The award supports collaborative research to develop the Isotope-enabled Community Earth System Model (ICESM), an advanced computational framework that integrates stable water isotope simulation capabilities into earth system modeling. The...
- Federal Grant Award Summary William Marsh Rice University received a $550,000 CAREER Project Grant award dated June 15, 2025, from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041). The project, which runs through May 31, 2030, focuses on developing a novel spatiotemporal signal encoding and decoding framework to miniaturize photoacoustic imaging (PAI) systems. The primary deliverable is a...
- Federal Project Grant Award Summary The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded William Marsh Rice University $599,581 in project grant funding effective July 1, 2026, through June 30, 2031, to support a Faculty Early Career Development (CAREER) program focused on evaluating integrated flood infrastructure portfolios using physics-informed machine learning. The research delivers computational methods and physics-informed machine learning emulators...
- Federal Project Grant Award Summary William Marsh Rice University received a $669,852 Faculty Early Career Development (CAREER) award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041) effective August 1, 2026, through July 31, 2031. The award funds research and development of physics-informed, artificial intelligence-driven frameworks for the predictive and inverse design of blended cement concrete systems. Deliverables include:...
The National Science Foundation's Division of Computing and Communication Foundations awarded $423,517 to William Marsh Rice University (effective October 1, 2026, through September 30, 2031) under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a novel artificial intelligence framework for efficient representation, visualization, and analysis of large heterogeneous geospatial signal datasets. The project will deliver open-source software implementing a Multivariate Neural Field (MVNF) architecture—a continuous function representation utilizing shared neural field encoders and shallow per-signal multilayer perceptron decoders—designed to compactly represent multiple signals with varying sampling rates, data types, and noise profiles. Applications targeted include land surface temperature interpolation, soil moisture estimation, geophysical exploration, and aerial debris inference. In addition to the core technical framework, the award supports educational deliverables including interactive Python notebook demonstrations and accompanying open-source resources accessible through free OpenStax University textbooks, university courses, and a research experience program for Houston-area high school teachers. These educational components are designed to reach thousands of learners across high school, undergraduate, and graduate levels, enabling students to visually manipulate data science algorithms related to geospatial signal processing and analysis.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $423.5k | 7/7/26 |