Project Grant 2346959
Award Date
6/1/24
Completion Date
5/31/27
Dollars Obligated
$394K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Rochester, NY 14623, USA
Similar Awards
The National Science Foundation (NSF) awarded a $380,762 Project Grant through its Computer and Information Science and Engineering (CISE) program to Rensselaer Polytechnic Institute (RPI) on October 15, 2023. The grant supports a collaborative research project titled "Graph Neural Networks for Heterophilous Data: Advancing the Theory, Models, and Applications". The project aims to enhance the capability of graph neural networks (GNNs) to effectively model and analyze heterophilous...
This $550,000 award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a hybrid, scalable data management system to improve access to scientific knowledge in data science. The project aims to create an intelligent, user-friendly interface that can extract, organize, and provide deep access to relevant concepts from peer-reviewed scientific literature. Key objectives include: Building a comprehensive knowledge...
This $378,714 federal Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) supports research at the Rochester Institute of Technology (RIT) aimed at developing novel bio-statistical graph learning strategies for structural characterization of large-scale disease pathways and systematic biomedical data analytics. The overarching goal is to leverage graph neural networks and hierarchical Bayesian...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, funded under the American Rescue Plan Act of 2021, provides $130,155 to Rensselaer Polytechnic Institute (RPI) for a project titled "CRII:III:TOWARDS ADVANCED FILTERING AND POOLING OPERATIONS FOR GRAPH NEURAL NETWORKS." The aim is to conduct theoretical analysis and develop innovative algorithms to address limitations in the efficacy and efficiency of graph neural...
This Project Grant award from the National Science Foundation's (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports research to develop novel mathematical models and efficient algorithms for deep learning on large-scale graph-structured data. The $249,999 award, spanning September 2024 to August 2027, aims to produce innovations in areas like graph convolutional networks, graph matching, and graph clustering. The research will involve graduate...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a mathematical foundation for using graph data in machine learning. The key goals are to: 1) characterize how the geometry of the underlying latent space affects graph structure, 2) devise optimal algorithms for recovering latent feature vectors from observed graphs, and 3) find computationally efficient...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a learner-centered artificial intelligence (AI) co-pilot tool to crowd-source the curation of comprehensive cybersecurity attack artifacts. The $299,999 award to the Rochester Institute of Technology (RIT) aims to leverage large language models and techniques like prompt engineering to guide users in emulating end-to-end...
This $199,885 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research at the Rochester Institute of Technology (RIT) to develop a network science-based framework for analyzing and modeling complex climate systems. The key products and services to be delivered include: Synthesizing large-scale climate records to investigate the stability of network patterns associated with potential climate system "tipping elements," which can...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $464,781 to the Rochester Institute of Technology (RIT) to encourage 10 talented undergraduate students per year to pursue graduate study and research careers in trustworthy artificial intelligence (AI). The award funds immersive summer research projects for teams of 2-3 students, guided by faculty mentors conducting externally funded...
This $568,008 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop novel computational approaches for processing graph-structured data. The key activities include: Designing a scalable non-canonical representation to express graphs as combinations of intersecting cliques or communities, enabling efficient data processing algorithms for very large graphs like social...