Project Grant 2312982
- The University of Massachusetts Lowell received a $150,664 project grant award from the National Science Foundation on September 1, 2021 to support research methods for clinical assessment generation through August 31, 2022. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing and information sciences research and education. Specifically, the university will develop new methods for generating clinical...
- 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...
- 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...
- The University of Massachusetts Lowell will receive $471,340 over three years from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to support the project "III: SMALL: TEMPORAL RELATIONAL TRIPLES, OR TR2: A NOVEL DATA AND KNOWLEDGE SYSTEM FOR TEMPORAL AND STREAMING DATA." This Project Grant will fund the development of a new data and knowledge system designed to manage temporal and streaming data. The system aims to...
- The University of Massachusetts received a $374,775 project grant award from the National Science Foundation Division of Computer and Network Systems. The award will support the collaborative research project "Common Error Diagnostics and Support in Short-Answer Math Questions" from October 1, 2021 to September 30, 2024. The project aims to advance the development of research cyberinfrastructure to enable and accelerate discovery and innovation in computer and information science and...
- Grant Award Summary The University of Massachusetts received a $249,998 Project Grant from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research project addresses corruption-robust online optimization algorithms designed to enhance the resilience of real-world systems against adversarial attacks and...
- Federal Grant Award Summary The University of Massachusetts Amherst received a $999,967 Project Grant award from the National Science Foundation (NSF), Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2025, through August 31, 2028. This project develops an "Active Measurement" framework that integrates imperfect artificial intelligence (AI) models with human-in-the-loop...
- 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...
- Federal Grant Award Summary The University of Massachusetts received a $500,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective July 1, 2025, through June 30, 2027. The award funds the development of ACED (Revolutionizing Instrumental Analysis Using Foundation Models), a novel artificial intelligence-powered framework designed to automate...
The University of Massachusetts Lowell's Office of Research Administration received a $600,000 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop mechanisms for detecting soft errors and silent data corruption in high-performance computing systems. The university will apply compressive sensing and machine learning techniques, including unsupervised anomaly detection, to efficiently obtain a compact representation of datasets and monitor for anomalies indicative of soft errors or hardware malfunctions. This will provide scientists increased confidence in analyses relying on large-scale simulations. The approach will integrate seamlessly into scientific workflows without requiring application changes. Validation across multiple high-performance computing platforms and scientific workflows will allow researchers to verify datasets with higher trust levels. The grant completion date is May 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 5/25/23 |