Project Grant 2553513
- 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 The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Dallas a $499,573 Project Grant (CFDA 47.041 - Engineering) beginning October 1, 2025, and concluding September 30, 2028, to develop PSYCHSENS, a machine learning framework for automated psychiatric comorbidity screening using multimodal wearable sensor data. The project addresses a critical gap in mental health support by advancing...
- Federal Grant Award Summary San Francisco State University received a $175,000 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), effective July 1, 2025 through June 30, 2027. The award supports development of an artificial intelligence (AI)-driven collaborative goal-setting system utilizing socially assistive robots to support individuals with mild...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $600,000 CAREER grant (CFDA 47.041, Engineering program) to the University of California, Santa Barbara, effective April 15, 2026, with completion targeted for March 31, 2031. This project grant supports research on large language model (LLM) watermarking and content identification methodologies designed to embed hidden signals into AI-generated text, enabling...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded $900,000 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Irvine for research on improving human-artificial intelligence (AI) decision-making partnerships through shared understanding. The project, awarded October 1, 2025, with completion targeted for September 30, 2029, develops methodologies to measure and optimize human-AI collaboration in...
- Federal Project Grant Summary Grant Overview: This collaborative research project grant, awarded October 1, 2025, by the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), provides $280,000 in funding to UC Riverside through September 30, 2028. The project addresses the challenge of deploying artificial intelligence inference on severely resource-constrained devices such as...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $400,000 to the New Jersey Institute of Technology (NJIT) under the Engineering program (CFDA 47.041) on October 1, 2025, for a three-year project extending through September 30, 2028. This project grant supports the development and fabrication of flexible, breathable, and biocompatible nanofibrous devices designed for next-generation wearable electronics....
- Federal Grant Award Summary The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded $448,039 to the University of Pennsylvania under the Engineering program (CFDA 47.041) to develop an innovative ear-based wearable device for seizure monitoring in epilepsy patients. The project, which commenced October 1, 2025 and concludes September 30, 2028, focuses on engineering a wireless "earable" featuring electroencephalography (EEG) electrodes...
- Federal Grant Award Summary Temple University received a $227,886 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective June 1, 2025 through July 31, 2026. The project delivers a novel deep sensor array decoding system designed to advance remote health monitoring capabilities for precision medicine applications. The core deliverable addresses signal degradation and...
- Federal Grant Award Summary The National Science Foundation's Division of Research on Learning in Formal and Informal Settings awarded a $114,371 Project Grant on September 15, 2025, to The Research Foundation for the State University of New York to support collaborative research on artificial intelligence (AI) fluency in middle schools. Administered through the STEM Education program (CFDA 47.076), this two-year initiative (completion date: August 31, 2027) will deliver browser-based software...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $199,999 to the University of San Diego under the Engineering program (CFDA 47.041) to develop data-centric artificial intelligence (AI) solutions for wearable biosensors in educational settings. The award, initiated May 1, 2026, and scheduled for completion by April 30, 2028, focuses on integrating wearable biosensors with an AI framework to enhance understanding of student engagement and stress in classroom environments. The project will deliver an AI/machine learning analytical framework capable of processing multimodal physiological signals (heart rate, electrodermal activity, and oxygen levels) collected from wearable devices worn by volunteer students during actual instructional sessions. Key deliverables include validated datasets for educational research, improved data quality techniques (signal cleaning, feature engineering, and data augmentation), and temporal pattern analysis models that identify physiological indicators of cognitive load and emotional states. The project will produce a prototype application that generates aggregated, instructor-facing feedback to support evidence-based adjustments to teaching strategies, course pacing, and classroom activities. Underpinned by rigorous ethical and privacy safeguards, the research outcomes will advance practical methodologies for translating physiological biosignal data into actionable guidance for educators—addressing a significant gap in current educational practice. The Engineering Research Initiation (ERI) award reflects NSF's commitment to fostering innovation in engineering research while supporting the development of tools that demonstrate how wearable sensing and data-driven analysis can create more responsive and effective learning environments.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 4/14/26 |