This National Science Foundation (NSF) Project Grant award under the Office of International Science and Engineering (OISE) Federal Grant Program (CFDA 47.079) provides $100,000 to Iowa State University of Science and Technology to support research on new directions in data stream computing. The key research areas include investigating a "right to forget" data stream model, exploring pseudodeterministic computations in streaming algorithms, and studying the Delphic set streaming model....
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a total funding amount of $300,000.00 and an award date of July 15, 2025, supports a collaborative research project led by Trustees of Dartmouth College. The project aims to develop resilient data stream algorithms that are less dependent on assumptions and more reliable in practical applications. Key research objectives include designing adversarially robust algorithms,...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $600,000 in funding to the University of California, Berkeley (UC Berkeley) to conduct research on streaming algorithms and data sketching. The project aims to make progress on fundamental problems in streaming, such as heavy hitters, quantiles, moment estimation, and sampling from data streams. The work will involve developing...
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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program award provides $298,660 to the University of Massachusetts (UMass) for a project titled "COLLABORATIVE RESEARCH: AF: SMALL: RESILIENT DATA STREAM ALGORITHMS". The project aims to design resilient data stream algorithms that are less dependent on explicit assumptions and more reliable in practical applications. Key focus areas include developing adversarially robust...
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 $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 $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 (NSF) awarded a Project Grant titled "COLLABORATIVE RESEARCH: IMR: MM-1B: PRIVACY-PRESERVING DATA SHARING FOR MOBILE INTERNET MEASUREMENT AND TRAFFIC ANALYTICS" under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Board of Regents of the University of Nebraska, doing business as the University of Nebraska, in the amount of $170,000. The project aims to develop new methods for augmenting mobile internet...