Project Grant 2615898
- The National Science Foundation awarded North Carolina Agricultural and Technical State University $549,484 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and demonstrate a noninvasive, direct bidirectional brain-to-brain interface (B2BI) combining electroencephalography-based motor-imagery brain-computer interface (EEG-MI BCI) technology with transcranial focused ultrasound (tFUS) computer-brain interface (CBI) capability in human...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $585,000 to the Board of Regents of the University of Nebraska to redesign brain-computer interfaces to include real-life images. The goal is to make these communication devices easier for children with physical disabilities like cerebral palsy to use, enhancing their quality of life. The research will study how brain activity differs between...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Rhode Island $528,114 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance brain-computer interfaces for upper-limb prosthetic control. The award funds a collaborative research project running through September 30, 2029, performed at the University of Rhode Island in Kingston, Rhode Island. The project develops non-invasive...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Massachusetts $430,468 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop neuromorphic wearables for continuous neurophysiological monitoring outside clinical settings. The research develops brain-monitoring wearables that capture the full spectrum of brainwave signals, including high-frequency components during motion, and operate...
- This $497,881 Project Grant, awarded July 1, 2025, through the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) and administered by the Division of Computing and Communication Foundations, supports research and development of a ubiquitous brain-computer interface (UBCI) framework at San Diego State University. The primary deliverable is an adaptable neural signal processing system designed to enhance both cognitive and motor functions...
- The National Science Foundation awarded Yale University $1.4 million on October 1, 2025, under the Computer and Information Science and Engineering program to develop BrainScan, a high-bandwidth neural interface instrument enabling real-time bidirectional communication between biological neurons and digital systems. BrainScan centers on BrainCore, a bespoke chip designed for neural interfacing with energy efficiency orders of magnitude superior to current state-of-the-art systems. The instrument...
- The National Science Foundation awarded a $266,000 Project Grant to Columbia University under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop a wearable noninvasive brain imaging device using near-infrared light-based time-domain diffuse optical tomography. The device aims to improve clinical outcomes in neurology by enabling measurement of deep brain blood flow, which is difficult to measure with current technologies. The grant will support...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Maryland Baltimore County $265,140 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop fully wireless flexible electrical-acoustic implants for high-resolution neural stimulation and recording at large scale. The project advances minimally invasive ultrasound neuromodulation and neural recording of the brain with high spatial...
- The National Science Foundation (NSF) awarded a 5-year, $899,286 Faculty Early Career Development (CAREER) Program grant to the University of Washington to fund research aimed at expanding the understanding of human-technology interaction through brain-computer interfaces (BCIs). The interdisciplinary project will investigate how the nervous system responds to neural interfaces and develop advanced computational algorithms to optimize the interactions between users and BCI devices. The...
- The University of Michigan was awarded a $1.1 million Project Grant from the National Science Foundation Division of Mathematical Sciences under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from September 2021 through August 2025 to develop new statistical learning methods for brain-computer interfaces. As part of the Computer and Information Science and Engineering program's goals of supporting investigator-initiated research and...
The National Science Foundation Division of Computing and Communication Foundations awarded $700,000 to Trustees of Tufts College on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance non-invasive brain-computer interfaces using functional near-infrared spectroscopy. The project develops improved hardware, software, and mathematical techniques to distinguish between task-positive and default-mode networks in the prefrontal cortex—regions associated with logical problem-solving and mind wandering, respectively. Current fNIRS-based brain-computer interfaces lack the measurement specificity needed to target deeper cortical regions reliably. The award funds personalized dual-slope frequency-domain near-infrared spectroscopy, which captures both intensity and phase information from modulated light to enable depth-sensitive measurements. By individualizing configurations to each person's anatomy, the method achieves higher spatial specificity while maintaining practical advantages for wearable devices. The project also develops user interfaces that monitor and respond to a user's brain state in real-time, subtly adjusting interface elements or tasks when the system detects changes in mental workload or its specific components, improving performance without distraction. Work is performed in Medford, Massachusetts. The period of performance runs from October 1, 2026, through September 30, 2029. The assistance type is a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $700.0k | 7/28/26 |