Project Grant 2543636
- 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 Georgia TECH Research Corp a CAREER (Faculty Early Career Development) grant totaling $599,972 on June 15, 2025, with a completion date of May 31, 2030. Under CFDA 47.041 (Engineering), this project grant supports the development of multifidelity scientific machine learning methods that integrate high- and low-fidelity simulation data to generate accurate predictive...
- Federal Grant Award Summary The University of Georgia Research Foundation, Inc. received a $449,962 Project Grant awarded February 15, 2026, by the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041). The award supports development of glycosequencing, a novel technology that leverages next-generation sequencing (NGS) and artificial intelligence (AI) to rapidly sequence and quantify glycan...
- Federal Grant Award Summary The National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded $625,000 through the Engineering program (CFDA 47.041) as a Faculty Early Career Development (CAREER) grant to the University of Arizona, with performance in Tucson, Arizona, effective June 1, 2026, through May 31, 2031. This project grant will deliver fundamental research establishing the relationship between gene network regulation and label-free...
- 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...
- Federal Grant Award Summary Georgia TECH Research Corp received a $574,930 Faculty Early Career Development (CAREER) Project Grant from the National Science Foundation's 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, 2030. The award funds the development of an integrated robot learning and planning system that enables service robots to rapidly acquire and adapt new...
- Federal Project Grant Award Summary Emory University received a $500,001 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), effective June 1, 2026, through May 31, 2031. The award funds the development of high-precision phototoxic subtractive tissue engineering technologies that utilize spatially patterned light to selectively induce...
- Federal Grant Award Summary Georgia TECH Research Corp received a $298,251 Project Grant from the National Science Foundation's Division of Biological Infrastructure under the Biological Sciences program (CFDA 47.074), effective September 1, 2025 through August 31, 2030. This CAREER award funds the development of artificial intelligence and machine learning (AI/ML) algorithms designed to address annotation inequality in protein function characterization. The research delivers computational...
- Federal Project Grant Award Summary 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 a five-year CAREER grant totaling $349,875 to the University of California Santa Cruz, effective October 1, 2026, through September 30, 2031. The project develops a unified, safety-aware learning framework to identify and mitigate risks arising from human-large language model...
- Federal Grant Award Summary The University of Georgia Research Foundation received a $143,856 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), awarded October 1, 2025 and scheduled for completion December 31, 2027. This collaborative research initiative will develop a physics-informed deep learning (PIDL) framework designed to enable inverse design and fabrication of multiphase...
The University of Georgia Research Foundation received a $546,167 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), effective June 1, 2026 through May 31, 2031. The project delivers an artificial intelligence (AI)-driven multimodal feature engineering framework designed to advance personalized biomedical system design, specifically targeting the analysis and monitoring of neurological diseases. Core deliverables include domain-aware causal inference tools that integrate probabilistic and generative modeling to synthesize imaging, genetic, and clinical data; customized transformer-based computational architectures for disease mechanism identification and patient-specific disease trajectory prediction; and interpretable machine learning (ML) models that support precise diagnosis, treatment stratification, and real-time disease monitoring capabilities. In addition to research innovation, the project includes significant education and dissemination components. Deliverables encompass open-source software tools and validated models released to promote reproducibility and broad adoption across the biomedical research community. Educational and workforce development products include curriculum development in biomedical AI, statistical inference, and modeling; summer coding camps and data science workshops for high school students; and professional tutorials presented at national conferences. These integrated research and educational activities are designed to advance personalized healthcare outcomes, improve pattern detection in complex neurological conditions, and increase participation in biomedical engineering while building a skilled workforce in AI-enabled healthcare technologies.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $546.2k | 4/30/26 |