Project Grant 2543434
- Federal Grant Award Summary This NSF CAREER award, totaling $560,000 and administered through the Engineering program (CFDA 47.041), funds a five-year project (April 1, 2026 – March 31, 2031) at Rochester Institute of Technology to develop adaptive machine learning systems capable of continuous learning without catastrophic forgetting. The primary deliverables include fundamental algorithms and theoretical frameworks for continual learning that leverage Bayesian uncertainty quantification,...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Pittsburgh a $649,684 CAREER (Faculty Early Career Development) grant effective May 1, 2026, through April 30, 2031, under the Engineering program (CFDA 47.041). The project, titled "Dynamics by Design: Bifurcation Engineering for Sensors and Structures," will establish mathematical and computational foundations for systematically designing...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $550,000 through the Engineering program (CFDA 47.041) to The Research Foundation for the State University of New York for a CAREER (Faculty Early Career Development) project titled "Internet of Foundation Models (IOFM): Expanding the Frontiers of Distributed Learning in Heterogeneous Networks." The award, effective September 1, 2026 through...
- Federal Project Grant Summary The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded $549,999 to The Research Foundation for the State University of New York (RF SUNY) under a Faculty Early Career Development (CAREER) grant, effective September 1, 2025, through August 31, 2030. This project delivers foundational research and algorithmic innovations in multi-objective optimization (MOO), specifically addressing large-scale, data-driven applications across 5G networks,...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a Faculty Early Career Development (CAREER) grant of $551,703 to Texas A&M Engineering Experiment Station (beginning July 1, 2026, through June 30, 2031) under the Engineering program (CFDA 47.041). The award funds research to advance simulation optimization methodologies by coupling exploratory simulation analysis with optimization techniques to enable more...
- Federal Project Grant Summary The National Science Foundation (NSF) Division of Undergraduate Education awarded $214,000 through the STEM Education program (CFDA 47.076) to The Research Foundation for the State University of New York to develop and deliver a collaborative eight-week summer research and training program in ethical data science and digital twin technologies for advanced manufacturing. The award, obligated on October 1, 2025, with a completion date of September 30, 2028, supports...
- Federal Grant Award Summary This National Science Foundation (NSF) Engineering program (CFDA 47.041) CAREER award provides $549,292 in funding to The Research Foundation for the State University of New York to support a five-year research project (June 1, 2026–May 31, 2031) focused on advancing computational understanding of metal-organic frameworks (MOFs). The primary deliverables include the development of an integrated computational framework combining graph theory, molecular modeling, and...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a CAREER (Faculty Early Career Development Program) grant totaling $562,194 to Texas A&M Engineering Experiment Station, effective August 1, 2025 through July 31, 2030. Under the NSF Engineering program (CFDA 47.041), this project grant supports fundamental research on novel data analytics and optimization approaches for characterizing and optimizing...
- Federal Grant Award Summary The National Science Foundation's (NSF) Office of Integrative Activities awarded a Faculty Early Career Development (CAREER) grant of $287,739 to the University of Nevada, Reno (Board of Regents of Nevada System of Higher Education) on June 1, 2025, with completion targeted for May 31, 2030. This project grant, funded under the Integrative Activities program (CFDA 47.083), supports fundamental research and educational initiatives aimed at developing a...
- Federal Grant Award Summary Rochester Institute of Technology received a $344,911 Project Grant from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070), awarded April 1, 2026, with completion targeted for March 31, 2031. This CAREER award supports research to defend machine learning (ML) models from adversarial threats through integrated interpretability and attribution methodologies. The...
The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded a Faculty Early Career Development (CAREER) Program grant of $500,001 to The Research Foundation for The State University of New York, with performance at the University at Buffalo, Buffalo, NY. The award commenced July 1, 2026, with completion scheduled for June 30, 2031. This project grant supports the development of rigorous statistical methods and analytical tools for distribution-in-distribution-out (DIDO) analytics—a novel approach that directly models and analyzes probability distribution-valued data rather than reducing such data to summary statistics. The resulting statistical frameworks and inference techniques will preserve the full structure of distributional data, enabling researchers to uncover complex patterns in fields such as single-cell biology, biotechnology, advanced manufacturing, perioperative medicine, and biomarker identification for drug development. The award supports both research deliverables and educational components. Research products include new statistical modeling and inference methodologies capable of analyzing distribution-valued datasets, with expected applications in accelerating scientific discovery and maintaining U.S. competitiveness in data science and artificial intelligence. Educational outcomes encompass training opportunities for undergraduate and graduate students in engineering statistics and biotechnology, coupled with broader community engagement through open-source software development, accessible educational materials, and data challenge competitions designed to broaden participation in science, technology, and engineering.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 4/30/26 |