Project Grant 2311709
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a total funding amount of $797,666, supports the SPADE (Scalable Performance and Accuracy Analysis for Distributed and Extreme-Scale Systems) project led by the University of Texas at El Paso (UTEP). The SPADE project aims to enhance the PAPI performance monitoring library to enable more effective assessment and optimization of performance and accuracy...
- Federal Project Grant Award Summary The National Science Foundation (NSF), through its Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded $278,570 to the University of Maine System for a project grant spanning January 1, 2026 through December 31, 2027. The award supports the development and delivery of virtual preconference activities and two in-person conferences designed to expand Computer Science and...
- The University of Maine System will receive $345,615 in funding from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct the project "COLLABORATIVE RESEARCH: INVESTIGATING INCLUSIVE DATA SCIENCE TOOLS TO OVERCOME STATISTICS ANXIETY" from October 1, 2021 through September 30, 2024. The project aims to develop inclusive data science tools and educational materials to address statistics anxiety and help broaden...
- Federal Project Grant Award Summary The University of Maine received a $310,000 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), effective October 1, 2025, through September 30, 2028. This collaborative research initiative focuses on developing dialogue policies and training methodologies for artificial intelligence (AI)-based interactive dialogue...
- The University of Maine System (UMS), through its University of Maine Division, is conducting a $102,232 federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The project aims to develop novel theoretical and computational tools for analyzing, designing, and controlling dynamic systems that exhibit irregular behavior, such as modern wind turbine power systems. The research seeks to minimize the negative...
- Federal Grant Award Summary The University of Maine received a $999,390 Project Grant from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), awarded October 1, 2025, with completion by September 30, 2028. This EXLENT (Experiential Learning in STEM) Beginnings track project delivers experiential learning opportunities and workforce development in digital twin (DT) technologies applied to the blue economy sector. The project...
- The National Science Foundation (NSF) awarded the University of Maine System a $2,065,998 Project Grant under the Integrative Activities (CFDA 47.083) program. This 4-year award, titled "COLLABORATIVE RESEARCH: E-RISE RII: ENHANCING MAINE FOREST ECONOMY, SUSTAINABILITY, AND TECHNOLOGY ECOSYSTEM TO ACCELERATE INNOVATION", supports the development of a statewide research, education, and innovation incubator in Maine to grow the state's forest-based economy and communities. The project...
- The University of Maine System was awarded a $134,368 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will fund research to advance the Langlands program through the study of local Langlands conjectures in families, and examine the logical dependence between local Langlands conjectures and recent p-adic geometrizations. It will also support a three-week summer number...
- Federal Project Grant Award Summary The University of Maine System received a $365,580 Project Grant award from the National Science Foundation's Division of Earth Sciences (CFDA 47.050) effective September 1, 2025, through August 31, 2027. The project develops a novel methodology for estimating differential stress and strain rate in deformed rocks by quantifying the fractal dimension and roughness of mineral grain boundaries. The research team will collect high-resolution electron backscatter...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070) awarded a $148,347 project grant to the University of Maine System (UMS) to develop a new framework for microelectronic security and trust. The key elements of the project are: Using reinforcement learning techniques to discover novel attack vectors against logic locking and identify root causes behind successful attacks. Leveraging explainable artificial intelligence...
The University of Maine System, University of Maine Division is receiving a $447,016 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program. The award, titled "COLLABORATIVE RESEARCH: FRAMEWORKS: SCALABLE PERFORMANCE AND ACCURACY ANALYSIS FOR DISTRIBUTED AND EXTREME-SCALE SYSTEMS (SPADE)," aims to enhance the PAPI performance monitoring library to create methods for assessing and improving performance and accuracy on advanced and evolving hardware and software technologies. The project intends to deliver software and APIs to enable efficient and comprehensive resource utilization of extreme-scale computing platforms, benefiting both the high-performance computing community and the broader scientific applications community. This endeavor is expected to advance cyberinfrastructure development, democratize access to high-performance computing, and foster diversity and education of a new generation of researchers and engineers. The project period runs from September 15, 2023 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $447.0k | 9/12/23 |