Project Grant 2523658
- This $149,644 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program supports research on developing a new mathematical tool called the "Sheaf Laplacian" to model complex diffusion dynamics in hypergraphs. The research aims to enable more flexible and accurate analysis of group interactions, with applications in areas such as expert detection, community decision-making, and collaborative information flow. Key...
- The National Science Foundation (NSF) awarded a $136,883 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Georgia State University Research Foundation Inc. The grant, titled "COLLABORATIVE RESEARCH: CISE CORE SMALL: AF: SHEAF LAPLACIAN ON HYPERGRAPHS: FROM THEORY TO APPLICATIONS," runs from September 1, 2025 to August 31, 2027. The grant supports research to design and explore a new mathematical tool called the...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) is focused on enhancing machine learning with graph-structured data. The research aims to address the challenge of data distribution shifts in AI models when applied to real-world scenarios, particularly in fields like particle physics and biochemistry. The key activities under this 3-year award include: Developing methods to estimate and...
- This federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE, CFDA 47.070) program provides $300,000 to Northeastern University to develop a novel approach called "Graphides" for analyzing and predicting phenomena using sparse graph data. The project aims to establish a rigorous theoretical framework for studying the limits and properties of sparse random graph models, with applications in areas such as...
- This $300,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) will fund research into spectral methods for single and multiple graph inference networks. The grantee, North Carolina State University, will develop efficient parameter estimation methods for latent position graphs and valid two-sample testing procedures for comparing latent position graphs while ignoring irrelevant features. The...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $300,000 Project Grant to Trustees of Tufts College, doing business as Tufts University, to develop methods for representing, analyzing, and learning functions on heterogeneous graphs. The project, titled "Diffusion and Transport on Graphs: Active Learning, Low-Dimensional Representations, and Anomaly Detection," will focus on two interconnected settings: (i) semi-supervised learning of functions on a...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research into the fundamental theories and algorithms for reconstructing diffusion history in cyber and human networks. The research aims to develop new deep learning-based methods for tracing the spread of information, diseases, and cyber threats, with applications in epidemiology and cybersecurity. The 3-year project is led by the Regents of...
- This Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences, with the CFDA number 47.049, provides $200,000 in funding to Michigan State University (MSU) to establish a theoretical framework for characterizing information propagation within social systems. The research aims to develop novel models and strategies for analyzing large spatiotemporal datasets related to the diffusion of information, such as news, diseases, and security threats. The project...
- This National Science Foundation project grant of $164,006 awarded on March 1, 2023 will support research applying algebraic and topological methods in graph theory to complex network models throughout the sciences. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the award to Southern Illinois University Carbondale will advance understanding of quantitative graph measures and their structural properties. Researchers will develop graph invariants accounting for...
- This $270,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced computational methods and software tools for tracking and analyzing evolving patterns in large-scale networks. The key objectives are to: 1) develop novel algorithms with provable efficiency guarantees for counting and enumerating network subgraphs, 2) design and implement high-level programming...
This $112,158 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides funding for collaborative research to develop and apply a new mathematical tool called the Sheaf Laplacian for modeling diffusion dynamics in hypergraphs. The goal is to better capture factors like individual opinions, communication styles, and group roles in order to enable more flexible and accurate analysis of group interactions, with applications in areas such as expert detection, community decision-making, and collaborative information flow. The project will define the properties of Sheaf Laplacians, use them to model complex diffusion processes, and design new hypergraph neural network architectures that integrate Sheaf-based diffusion and curvature-aware aggregation. The research will be conducted by Georgia Gwinnett College, a Hispanic-Serving Institution focused on STEM education and research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $112.2k | 7/30/25 |