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 investigator will pursue three technical goals - resolving open questions on approximating frequency-based functions in data streams first posed in 1996, discovering relationships between streaming models, and designing new sampling methods for streaming data applicable to sliding window, decay, and distributed models. The grant will also engage undergraduate students in cutting-edge theoretical problems and support STEM education through collaboration with a Baltimore public charter high school and annual workshops at Johns Hopkins University.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $186.1k | 9/14/22 |