Project Grant 2211918
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $599,639 to Carnegie Mellon University (CMU) supports research to enable more effective database query optimization across SQL and user-defined functions (UDFs). The project aims to develop techniques that automatically transform code to pass critical information between SQL and UDFs, allowing for improved query planning and execution. Key focus areas...
- This $600,000 federal Project Grant award was issued by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of the grant is to lay the foundations for building tools that will enable data scientists to more effectively manage and process large datasets for machine learning applications. The key focus is extending relational database technology with the ability to...
- This $299,999 National Science Foundation (NSF) grant under the Computer and Information Science and Engineering (CFDA 47.070) program supports research at the University of Massachusetts (UMass) on the query complexity of linear algebra algorithms. The project aims to develop new, query-efficient algorithms for solving key matrix problems and prove unconditional lower bounds on the number of queries required. The research will focus on two query models: entrywise matrix queries and...
- The University of Massachusetts received a $849,885 project grant award from the National Science Foundation Division of Information and Intelligent Systems. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will fund research on probabilistic box embeddings from October 1, 2021 to September 30, 2025. The grant aims to support investigator-initiated research and education in computing and information science fields, as well as advance the...
- Federal Grant Award Summary The University of Massachusetts received a $399,999 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CISE program, CFDA 47.070) awarded July 15, 2025, with completion targeted for June 30, 2028. This collaborative research initiative addresses critical limitations in visual data analytics by developing perception-augmented database systems that optimize data sampling for human cognition. The project tackles the...
- This $547,584 National Science Foundation project grant supports research at Arizona State University to redesign analytics databases for machine learning model serving. The goal is to develop methods bridging machine learning inference and relational algebra processing through a unified intermediate representation. This will allow native deep neural network model inferences directly from databases, eliminating cross-system latency in applications like supply chain prediction, fraud detection,...
- Federal Grant Award Summary The University of Massachusetts received a $298,660 Project Grant from the National Science Foundation (NSF), Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded on July 15, 2025, with completion anticipated by June 30, 2027. This collaborative research project focuses on developing resilient data stream algorithms capable of processing massive datasets across finance,...
- The University of Massachusetts Amherst was awarded a three-year, $359,996 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: DYNAMIC DATA-DRIVEN SYSTEMS - THEORY AND APPLICATIONS." The NSF Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and...
- This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
- Federal Grant Award Summary The University of Massachusetts received a $450,000 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective July 15, 2025, with completion expected by June 30, 2028. This NSF-BSF (NSF-Binational Science Foundation) collaborative award funds fundamental research into distance sketching algorithms and data...
The National Science Foundation awarded a $599,995 project grant to the University of Massachusetts under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of September 1, 2022 through August 31, 2025. The grant funds research to develop scalable in-database prescriptive analytics capabilities for dynamic environments. Specifically, the university researchers will extend prior work on constrained optimization problems to handle data uncertainty and evolving decision environments at scale. They will contribute new models and algorithms for efficiently processing large-scale stochastic integer linear programs specified as stochastic package queries in an SQL-based language. The researchers will also develop fast incremental and progressive query evaluation techniques to support rapid scenario analysis as data and problems change. This includes handling both deterministic and uncertain data across static and dynamic settings. The work aims to help lower barriers to prescriptive analytics use for domain experts without optimization expertise.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/25/22 |