Project Grant 2212160
- This $574,140 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of novel algorithms to extract causal relationships from diverse, unstructured datasets. The project aims to address limitations of current causal discovery methods that rely heavily on interventional data, by creating algorithms that can leverage common causal knowledge across datasets from different environments....
- This $600,000 Project Grant award from the National Science Foundation's Division of Computer and Network Systems will support Purdue University's research to enable real-time, high-bandwidth network traffic analysis using machine learning on programmable switches. The project aims to develop novel methods for efficiently mapping popular ML models like decision trees and neural networks onto programmable switch hardware, as well as new switch primitives for computing flow statistics. This will...
- This $616,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations, under the CFDA program "Computer and Information Science and Engineering", supports research at the California Institute of Technology (Caltech) to address algorithmic and information-theoretic challenges in causal inference. The key objectives are to: Increase the range of applicability of causal inference methods by developing new algorithms and sample...
- This federal Project Grant award, valued at $360,000.00 and spanning August 1, 2025 to July 31, 2028, was provided by the Division of Computer and Network Systems within the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports a collaborative research project between investigators at the Massachusetts Institute of Technology and the University of Washington focused on developing new machine learning models to...
- This Project Grant award of $720,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project between the Massachusetts Institute of Technology (MIT) and the University of Washington. The project aims to develop new machine learning-based models that can quickly and accurately predict the performance of computer networks, overcoming the trade-offs of traditional network modeling approaches. The research...
- This Project Grant award of $400,000 from the National Science Foundation's Division of Computer and Network Systems supports research at the University of North Carolina at Chapel Hill (UNC) to develop techniques for monitoring network traffic and estimating Internet performance experienced by users. The project aims to design deep learning frameworks for classifying end-user segments based on access networks, client platforms, and application usage, as well as online sampling, hashing, and...
- The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded a $599,905 Project Grant to Arizona State University, Division Orspa, to develop CAUSALBENCH, a cyberinfrastructure for causal-learning benchmarking. The grant was awarded on July 1, 2023 under the NSF Computer and Information Science and Engineering (CISE) program (CFDA 47.070), which funds research and education in all areas of computing, communications, and information science. The key products and services...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Davis. The grant, awarded on June 15, 2025, will fund a 3-year project to develop cross-layer monitoring and analytics capabilities for application-aware root-cause analysis of service disruptions in application-centric networking environments. The project will investigate machine learning techniques to...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $600,000 in funding to The Trustees of Princeton University's Office of Research and Project Administration to develop innovative technologies for fine-grained network monitoring. The key objectives are to create a software component called a Telemetry Imputation Layer (TIL) that can recover detailed network performance data from limited sampling,...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program provides $649,951 to Purdue University to enhance the institution's network connectivity and data-intensive research capabilities. The project will upgrade Purdue's external connectivity to the Internet2 network and the CERN Large Hadron Collider Open Network Environment, delivering 400 Gbps wide-area bandwidth. This will enable faster, more robust network support for...
This three-year, $600,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of causal reasoning techniques to optimize network performance and answer "what-if" questions about potential network design changes using passively collected data. The grant recipient, Purdue University, will develop causal dependency graphs for real-world networking case studies and approaches for causal adjustments that balance measurement ease, estimator variance, and prediction accuracy. They will also create novel methods to infer latent variables through network models and passive data collection proxies, without impacting live users. Techniques will bridge machine learning for latent variable modeling with networking challenges. The work aims to significantly improve user experience and reduce costs for internet services by enabling operators to evaluate new networking algorithms without disruption. Outcomes can apply more broadly across networking and machine learning domains.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/17/22 |