This $122,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to develop new mathematical tools and techniques for analyzing sampling algorithms used to manipulate and understand complex, high-dimensional probability distributions. The project will focus on three foundational problems in theoretical computer science, with the goal of designing fast, efficient sampling...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) supports a collaborative research effort to accelerate the execution of large-scale graph problems on distributed computing systems. The $2,656,268 award, active from August 1, 2023 to July 31, 2028, aims to develop new algorithms, software frameworks, and hardware accelerators to efficiently process large graph datasets in domains like computational...
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...
This $299,886 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop new big data algorithms that are robust to adversarial input. The award supports research to address emerging vulnerabilities in areas such as black-box streaming algorithms, white-box streaming algorithms, and adaptive data analysis with bounded space. This work will focus on improving the reliability, security, and trustworthiness of...
The National Science Foundation awarded a $200,657 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) program to the University of Maryland, College Park (UMD). The grant supports collaborative research to develop private algorithms for fundamental problems in graph mining and network science, such as subgraph detection, node ranking, community detection, and studying properties of graph dynamical systems like epidemic spread. The research aims to create...
This $330,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports collaborative research at the Massachusetts Institute of Technology (MIT) to accelerate the execution of large graph problems on large, distributed computing systems. The project aims to develop new algorithms, software frameworks, and specialized hardware to enable more efficient processing of graph...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research into algorithms and techniques for analyzing large network datasets with incomplete or restricted access. The $249,682 award to Northwestern University, starting on March 1, 2025, will fund a 5-year project to develop new methods for community detection, optimization-based inference, and network reconstruction from partial data....
The National Science Foundation Division of Computing and Communication Foundations awarded Purdue University a $449,998 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research from October 1, 2021 to September 30, 2024 developing optimal algorithms and new models for statistical estimation. The Computer and Information Science and Engineering program aims to advance computing and communications research and...
This Project Grant award of $376,103 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research and development of practical, space-efficient, and adaptive data filtering techniques. The award recipient, Northeastern University, will focus on two key goals: 1) designing a high-performance adaptive filter with strong theoretical guarantees, and 2) integrating the adaptive filter into databases,...
This Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will develop general algorithmic frameworks and analysis tools for understanding and manipulating real-world networks across various domains. The $300,000 award to the University of Maryland, College Park, with a period of performance from April 2024 to March 2027, aims to create provably efficient algorithms that can provide quality...