Project Grant R25EB038761
- Federal Grant Award Summary The University of Texas at Tyler received a $174,740 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) for the period August 1, 2025 through July 31, 2027. This Career Research Initiative in Smart and Connected Health (CRII: SCH) project focuses on improving the clinical translation of deep learning (DL) models for electrocardiogram (ECG)...
- Federal Grant Award Summary The University of Texas at El Paso received a $150,000 Project Grant award, effective October 15, 2025, through the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076). This collaborative research initiative, conducted in partnership with Chapman University, aims to integrate responsible Artificial Intelligence (AI) principles into undergraduate engineering education. The primary deliverables include the...
- Federal Project Grant Award Summary The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $696,824 Project Grant to the University of North Carolina at Chapel Hill on August 11, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286). The project, spanning through June 30, 2029, will develop a novel robust and interpretable multi-modal artificial intelligence/machine learning (AI/ML) framework designed...
- Federal Grant Award Summary The University of Texas at Arlington received a $378,411 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), effective April 1, 2026, with a completion date of January 31, 2030. This grant supports the development of a fundamentally novel super-resolution (SR) tomographic imaging technology designed to...
- 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 The University of North Texas received a $148,341 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) effective October 1, 2025, through September 30, 2027. This collaborative research effort aims to develop an objective-fault standard for artificial intelligence (AI) regulation that serves as a distinctly American alternative to the European Union's AI Act. Rather than imposing prescriptive...
- Federal Grant Award Summary 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...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded the University of Texas at Arlington $789,660 on September 15, 2025, under the STEM Education program (CFDA 47.076) to support collaborative research engaging K-8 teachers in integrating computer science, artificial intelligence (AI), and cybersecurity into standards-based curricula. The project, scheduled for completion on August 31, 2029, directly targets at least 82 rural teachers from South Carolina through...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded the University of Alabama a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) effective October 1, 2025, through June 30, 2028. This renewal Research Experiences for Teachers (RET) Site will provide a six-week summer research program for 27 middle and high school educators to build expertise in biologically-inspired computing systems. The program delivers...
- Federal Grant Award Summary Texas A&M Engineering Experiment Station received a $395,695 Project Grant award dated August 1, 2025, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), administered by the National Institute of Biomedical Imaging and Bioengineering (NIBIB). The four-year project, extending through July 31, 2029, will develop novel multi-modal ultrasound imaging methods designed to serve as predictive markers...
The University of North Texas received a $134,902 Project Grant award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), effective April 5, 2026, with completion targeted for January 31, 2030. The award funds the Digital Health Research and Artificial Intelligence (AI) Training Program, a summer research initiative based in Denton, Texas, designed to provide high school science educators in the Dallas-Fort Worth region with hands-on research experience in digital health, AI-driven healthcare solutions, and wearable health technologies. The program places ten high school teachers in active university research laboratories where they conduct structured research in embedded systems, biosensors, medical imaging, and AI-powered diagnostics. Under faculty mentorship from engineering, health sciences, and education departments, participating educators engage in bio-signal data collection and machine learning analysis of physiological signals, develop wearable health devices, and implement real-time biosignal processing. Through a community of practice model supplemented by targeted workshops in AI and digital health research, teachers develop STEM lesson plans and curriculum materials aligned with Next Generation Science Standards and Texas Essential Knowledge and Skills standards, enabling them to integrate cutting-edge digital health applications and research methodologies into secondary classroom instruction.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $134.9k | 4/3/26 |