This Project Grant award of $263,399 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop innovative and effective solutions for online resource allocation problems. The project focuses on three key technical directions: (i) data-driven algorithms that leverage historical data to handle unknown input distributions, (ii) robust algorithms designed to withstand adversarial corruptions and noise, and (iii) versatile algorithms capable of addressing diverse objectives and constraints across industrial applications. The research aims to expand the boundaries of existing theory, address critical knowledge gaps, and pave the way for new innovations in online resource allocation, which has applications in areas such as online advertising, data center management, and ride-sharing. In addition to the research, the award includes educational components such as a summer school, a textbook, and a research workshop. The project will be performed by the Georgia Tech Research Corporation at their Atlanta, GA location from January 2025 through December 2029.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $263.4k | 1/2/25 |