Project Grant 2553085
- Federal Project Grant Award Summary Rochester Institute of Technology received a $200,000 Engineering Research Initiation (ERI) grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems (CFDA 47.041) awarded October 1, 2025, with completion targeted for September 30, 2027. The project develops a bilevel optimization framework to model and study uncertainties in snapshot compressive imaging (SCI) systems that integrate optical hardware encoders with...
- 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 Rochester Institute of Technology received a $558,713 Faculty Early Career Development (CAREER) award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041). The award, effective February 1, 2026, through January 31, 2031, supports fundamental research investigating unsteady inertial flow dynamics in confined pulsatile flow systems, with application to...
- Federal Grant Award Summary The University of Rochester received a $300,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. The award supports research leveraging artificial intelligence velocimetry (AIV) to measure cerebrospinal fluid (CSF) flow in the brain, addressing a significant knowledge gap in understanding how the brain clears metabolic waste. The project will develop and...
- Federal Grant Award Summary Rochester Institute of Technology received a $173,777 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), awarded September 1, 2025, with completion targeted for August 31, 2027. This research initiative, titled "CRII: RI: Uncertainty-Aware Visual Representation-Learning via Multicalibration," aims to develop novel...
- Federal Project Grant Award Summary Rensselaer Polytechnic Institute received a $598,744 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 September 1, 2025, through August 31, 2028. The award supports research titled "Neuro-Symbolic Integration with Probabilistic Graphical Models Towards Data Efficient, Generalizable, and Interpretable Deep...
- 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...
- 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 Rochester Institute of Technology received a $185,000 Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), effective August 1, 2025 through July 31, 2029. The award funds development of a semantic-based auditory attention decoder utilizing large language models to improve speech perception in noise (SIN) for individuals with hearing loss and cochlear implant...
- Rochester Institute of Technology received a $514,145 CAREER award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective May 1, 2026 through April 30, 2031. The award funds fundamental research and development of ionically gated transistors that integrate memory and processing capabilities within a single material to enable energy-efficient artificial intelligence (AI) applications for edge computing...
Federal Grant Award Summary The National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded Rochester Institute of Technology a Project Grant totaling $199,614 under the Engineering program (CFDA 47.041) for the period July 1, 2026 through June 30, 2028. This Engineering Research Initiation (ERI) project will develop an artificial intelligence-based multi-event detector tool for automated analysis of intracranial electroencephalography (iEEG) recordings. The primary deliverable is a deep learning model trained on expert-annotated iEEG data from large, multicenter human datasets that can identify multiple types of physiological and pathological brain events simultaneously, addressing limitations of existing single-event detectors that lack contextual awareness and are prone to misclassification. The project will advance clinical applications and neuroscience research by improving automated iEEG analysis capabilities with potential therapeutic implications for neurological disorders including epilepsy and Parkinson's disease. Secondary deliverables include validation of the model using a leave-one-institution-out evaluation approach and workforce development through training opportunities for students and clinicians in applied artificial intelligence and healthcare technologies. The research outcomes are expected to contribute to new AI-based healthcare technologies while building technical capacity in the skilled engineering and healthcare technology workforce.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.6k | 4/27/26 |