This National Science Foundation project grant of $186,123 awarded on July 1, 2022 will support the development of new streaming and sketching algorithms applicable to networking, machine learning, astronomy, and statistical inference. Funded under the Computer and Information Science and Engineering program, the award to Rice University will advance core objectives of the program by supporting investigator-initiated research in computing and information science. Specifically, the principal...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at San Diego State University Foundation (dba San Diego State University Research Foundation) to improve the efficiency and accuracy of sketching and streaming algorithms using machine learning. The key objectives are to: 1) Enhance existing sketching and streaming algorithms through machine learning to improve space and...
The National Science Foundation (NSF) awarded a $174,671 Computer and Information Science and Engineering (CFDA 47.070) Program grant to Trustees of Clark University to develop a family of flexible, future-proof streaming algorithms for data stream monitoring applications. The project aims to establish common design frameworks for fundamental streaming algorithms like Bloom filters to enable a one-size-fits-all approach that can be reconfigured for diverse measurement tasks. This includes...
This $100,000.00 Project Grant awarded by the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) supports research into new directions in data stream computing. The key research themes include: (1) studying a "right to forget" data stream model to address privacy concerns from explosive data growth, (2) exploring randomized "pseudodeterministic" computations in streaming algorithms, and (3) investigating a "delphic set...
The Regents of the University of California, doing business as the University of California, Berkeley, received a $317,452 project grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of sketching algorithms for privacy and efficiency from 2023-2027. Sketching algorithms compress large datasets into smaller...
This $500,000 project grant from the National Science Foundation Division of Computing and Communication Foundations' Computer and Information Science and Engineering program (CFDA 47.070) will fund research at Harvard University from March 2022 to February 2025 on streaming complexity of constraint satisfaction problems. The principal investigator will conduct a systematic study of the capabilities of streaming algorithms for constraint satisfaction problems, which are a class of optimization...
This Project Grant award, valued at $100,000.00 and funded by the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) program, supports research on new directions in data stream computing. The key focus areas include: Initiating a study of the "right to forget" data stream model, which is motivated by the growth of data generation and privacy concerns. Exploring the use of pseudodeterministic computations in the context of streaming algorithms....
This three-year $599,999 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research into novel methods for computing aggregate statistics on streaming data in a privacy-preserving manner. Specifically, the University of California, Los Angeles will explore efficient algorithms to privately compute telemetry data from user devices sending...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $122,000, awarded to the Massachusetts Institute of Technology (MIT) from June 1, 2025 to May 31, 2030, supports fundamental research to develop new mathematical tools for analyzing sampling algorithms used ubiquitously across fields like materials science, statistical physics, and artificial intelligence. The project aims to tackle three foundational problems in theoretical...
The National Science Foundation (NSF) awarded a $599,337 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Regents of the University of California, doing business as the University of California, Berkeley. The award supports research to investigate Bayesian estimation and constraint satisfaction problems, with a focus on determining the minimum number of observations needed to efficiently infer hidden quantities using powerful algorithmic...