The University of California, San Diego (UCSD) was awarded a $400,000 Project Grant by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program. The 4-year grant, starting on May 1, 2024, will fund research to develop innovative privacy-preserving machine learning algorithms for graph-structured data, which has widespread applications in areas like communication theory, computational biology, and social sciences. The project aims to establish a...
This Project Grant award of $222,191 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project at Rutgers, The State University. The project aims to integrate metric and topological perspectives into graph analysis algorithms in order to broaden the methodologies used to tackle diverse graph-related tasks. The research will focus on two main thrusts: (1) investigating graph distances and their trade-offs...
The University of California, Davis (UC Davis) received a $255,127 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to advance the design of efficient, large-scale graph algorithms. The project aims to develop innovative methods and more efficient algorithms for processing massive graphs by investigating sparsification techniques in parallel and distributed computational frameworks. This 5-year research...
The University of California, San Diego (UCSD) was awarded a $455,058 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 4-year project, which started on July 1, 2024, focuses on developing techniques for a mathematical understanding of deep learning and its application to a variety of neural network models and data sets. The key objectives are to: 1) compare different networks and understand...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports collaborative research to develop new methods for analyzing, generating, and optimizing graph-structured data. The project aims to create more expressive and efficient graph neural network models, improved generative models for graphs, and apply graph learning techniques to optimization problems and physical systems modeling. The...
The University of California, San Diego (UCSD) received a $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports the development of advanced computational and statistical methods for analyzing complex, dependent data from diverse scientific domains such as climate, economics, and neuroimaging. Key research thrusts include subsampling and resampling techniques for large datasets, robust...
This $1,091,988 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a new framework to systematically design and optimize high-performance graph analytics algorithms. The researchers at the University of California, Davis (UC Davis) will create an open-source software platform that allows for automated exploration of implementation choices for graph computations using a...
This Project Grant award, provided by the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049), aims to advance the field of geometric and topological data analysis. The $270,000 award, with a performance period from July 15, 2025 to June 30, 2028, will fund research to tighten the connections between geometric/topological data analysis and statistics/machine learning. Key focus areas include developing large sample distribution theory for the Euler...
This NSF-BSF Project Grant award, with a total funding of $190,779, supports research in combinatorics and pseudorandom graph theory at the University of California, San Diego (UCSD). Awarded under the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), the project aims to study rich structures hidden within pseudorandom combinatorial structures, such as graphs and hypergraphs, using a combination of spectral, geometric, and probabilistic methods. The research...
The University of California, San Diego (UCSD) has been awarded a $189,999 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences Program (CFDA 47.049). This 3-year grant will enable UCSD researchers to study random walks and super-approximation techniques, with applications across various mathematical disciplines and beyond. The Principal Investigator will investigate properties of random walks on spaces with...