Project Grant 2103799
Award Date
5/1/21
Completion Date
4/30/24
Dollars Obligated
$340K
Funding Federal Agency
National Science Foundation
Awarding Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Cambridge, MA 02139, USA
Similar Awards
The National Science Foundation awarded a $259,651 project grant to Worcester Polytechnic Institute for collaborative research titled "Tuning-Free Anomaly Detection Service." The grant is part of NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this three-year award beginning May 1, 2021, Worcester Polytechnic Institute...
This $150,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is supporting research on improving anomaly detection techniques for the Internet of Things (IoT). The project aims to address technical gaps in the widespread adoption of novelty detection models by developing methods to generate labeled datasets and enable the transfer of models from controlled lab settings to real-world IoT deployments....
The Massachusetts Institute of Technology (MIT) was awarded a $500,000 Project Grant from the National Science Foundation (NSF) Division of Computer and Network Systems. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will support research into practical private information retrieval from October 1, 2021 to September 30, 2024. Specifically, MIT researchers will develop techniques to advance the security and privacy of data access...
The Massachusetts Institute of Technology (MIT) received a $300,000 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems on October 1, 2021 to support research titled "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: INFERENCE AND CONTROL IN OVERLAY NETWORKS." The award will fund research from October 1, 2021 through September 30, 2025 under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports...
The University of South Florida was awarded a $233,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant supports collaborative research titled "COLLABORATIVE RESEARCH: REAL-TIME DATA-DRIVEN ANOMALY DETECTION FOR COMPLEX NETWORKS" under the NSF Engineering program (CFDA 47.041). The research aims to develop real-time data-driven techniques for anomaly detection in complex networks. The work will leverage large,...
The Massachusetts Institute of Technology (MIT) received a $529,462 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations on June 1, 2021 to support research titled "COLLABORATIVE RESEARCH: CIF: MEDIUM: ANALYSIS AND GEOMETRY OF NEURAL DYNAMICAL SYSTEMS." The award is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in...
This $500,000 National Science Foundation project grant supports the development of new cyberattack detection approaches for large networks using complex graph modeling. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), key products include constructing a complex graph model with graph refinement techniques to represent network traffic. The University of Virginia will design semi-supervised and weakly-supervised graph-based learning algorithms leveraging...
The Massachusetts Institute of Technology (MIT) received a three-year $600,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to develop algorithms that leverage structural properties in distribution testing. MIT will extend the reach of distribution testing through more efficient solutions that capitalize on known data structures. The university will also design sample-efficient methods to ascertain if data...
The Massachusetts Institute of Technology (MIT) received a $1.2 million project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will fund a collaborative research project between Aug 1, 2021 and Jul 31, 2025 to develop frameworks that converge Bayesian inverse methods and scientific machine learning in Earth system models...
The University of Massachusetts Lowell's Office of Research Administration received a $600,000 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop mechanisms for detecting soft errors and silent data corruption in high-performance computing systems. The university will apply compressive sensing and machine learning techniques, including unsupervised anomaly detection, to...