This Project Grant award of $270,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of advanced computational methods for tracking and analyzing evolving patterns in large-scale networks. The project will pursue three integrated research thrusts: (1) developing novel algorithms with provable efficiency guarantees for counting and enumerating subgraphs in dynamic networks, (2) designing and...
This federal Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of new community detection methods and software capable of analyzing large networks with millions or billions of vertices. The $398,000 award to the University of Illinois will enable the creation of highly efficient parallel algorithms and software implementations that can be deployed on high-performance...
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...
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....
This Project Grant award of $314,283 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Mississippi State University (MSU) to develop a unified framework for analyzing general graph dynamics and interconnected networks. The key objectives are to: Derive a generalized, interpretable framework for graph dynamics using advanced methods like sparse symbolic dynamics, probabilistic modeling, and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $250,000 to the New Jersey Institute of Technology (NJIT) for a 3-year collaborative research project focused on developing advanced community detection and graph clustering methods for analyzing large network datasets. The key objectives are to create highly efficient software implementations of new community detection algorithms that can...
This National Science Foundation project grant of $225,884 awarded on March 15, 2023 will fund the development of fast and scalable algorithms for mining and analyzing large dynamic graphs. Under the Integrative Activities program (CFDA 47.083), which enhances STEM competitiveness through capacity building and infrastructure development, this University of Nevada, Las Vegas project will generate new algorithmic techniques and scalable software tools. Specifically, the awardee will design...
This Project Grant award under the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of general algorithmic frameworks and frameworks for analyzing and manipulating various types of real-world networks, such as gene regulatory networks, brain networks, and online social networks. The $320,000 award to the Massachusetts Institute of Technology (MIT) will fund research to create provably-efficient...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $250,199 to the Texas A&M Engineering Experiment Station (Tees) to develop a scalable software infrastructure for analyzing complex networks. The infrastructure will enable scalable, portable, and user-friendly graph analysis capabilities that can handle networks with trillions of edges, optimizing performance on heterogeneous computing...
This $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research at Carnegie Mellon University to develop methods for uncovering the hidden interconnections among the components of complex networked dynamical systems. The project aims to infer the connectivity structure of systems like brain networks, power grids, and pandemic spread models where only a subset of the nodes or agents can be directly...