Project Grant 2514071
- Federal Grant Award Summary George Washington University received a $584,353 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) on January 15, 2026, with completion scheduled for December 31, 2028. The project, titled "ASTROCOMP—Advanced Stochastic Magnetic Tunnel Junction Architectures for Scalable Neuromorphic Computing," develops...
- Federal Grant Award Summary George Washington University received a $274,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation (CFDA 47.041 - Engineering program) for collaborative research on infrastructure systems protection investment, effective August 1, 2025, through July 31, 2028. The research delivers advanced mathematical models, algorithms, and computational tools that apply real options theory to infrastructure investment...
- Federal Grant Award Summary George Washington University received a $1.61M Project Grant from the U.S. Department of Energy (DOE) Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) for "Neuromorphic Computing Circuit Primitive Testbeds." The award, effective June 1, 2025, through May 31, 2027, supports research and development of neuromorphic computing technologies conducted at the university's Ashburn, Virginia facility. This project falls...
- The National Science Foundation awarded a $500,000 Project Grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support research into the holistic design of high-performance and energy-efficient accelerators for graph neural networks from October 1, 2021 through September 30, 2024. As described under the CFDA program, funding will advance the development of computing and communications...
- Federal Grant Award Summary George Mason University received a $275,000 Project Grant award 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 September 1, 2025, through August 31, 2028. The award funds collaborative research focused on developing secure hardware accelerators for deploying fine-tuned foundation models on consumer devices. The project will design and...
- Federal Grant Award Summary George Mason University received a $430,000 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 anticipated September 30, 2028. The award supports the development and implementation of artificial intelligence (AI) literacy curriculum through case-based instruction targeted at undergraduate engineering and computing students. The primary...
- Federal Project Grant Award Summary New York University received a $420,000 Project Grant award from the National Science Foundation's 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 initiative evaluates the security landscape of machine learning (ML) and artificial intelligence (AI) enabled electronic design automation (EDA) tools...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $200,000 to the University of Massachusetts on June 15, 2025, under the Engineering program (CFDA 47.041) for a project titled "Closed-Loop Hybrid Intelligence with Optogenetic-Neuromorphic Co-Designed Cell Interfaces." The project, scheduled for completion by May 31, 2028, delivers advanced engineering tools and methods that integrate high-resolution...
- The National Science Foundation awarded a $499,979 project grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research towards developing high-performance machine learning techniques on graphs from October 1, 2021 to September 30, 2024. The Computer and Information Science and Engineering program aims to advance computing and informatics research and education. This award will further those goals by...
- Federal Grant Award Summary George Mason University received a $274,265 Project Grant from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop DLToolkit, a performance profiling and analysis infrastructure designed for scientific deep learning (DL) workloads. The award, effective June 15, 2025, through May 31, 2028, will deliver three core technical capabilities:...
George Washington University received a $599,971 Project Grant award from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective May 1, 2026 through April 30, 2029. The award funds development of AnalogEDA-Hub, an open-source cyberinfrastructure platform designed to advance artificial intelligence (AI) and machine learning (ML)-driven electronic design automation (EDA) research for analog integrated circuits (ICs). The platform will provide comprehensive research capabilities including multi-modal datasets, learning-based tools, and standardized design environments for representative analog circuits to enable scalable and generalized development of analog EDA methodologies. This initiative addresses a critical national research priority by creating the foundational cyberinfrastructure needed to modernize analog IC design processes, which have historically relied on manual, labor-intensive methods despite their essential role in contemporary electronic systems. AnalogEDA-Hub will support accelerated development and commercialization of analog EDA solutions to improve productivity and cost-effectiveness in the semiconductor industry, particularly as demand for analog ICs grows due to emerging technologies including artificial intelligence, 5G/6G communications, and quantum computing. The platform's open and efficient design positions it as a significant resource for academic and industry researchers seeking to advance AI/ML-enabled analog circuit design automation at scale.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 4/1/26 |