Our research primarily focuses on the development of advanced signal processing and pattern recognition techniques to analyze and decode neural signals for brain-computer interfaces and other neural engineering applications. We are also involved in other biomedical and general signal processing projects.
A Brain-Computer Interface (BCI) is a system that allows a user to control a device directly using their brain activity. BCIs and related technologies can be used in assistive, rehabilitative, augmentative, diagnostic, or therapeutic applications.
- 3/13/17: Congratulations to Taylor for accepting a fellowship to enter the BME PhD program at Johns Hopkins University!
- 3/22/16: Congratulations to Taylor for being awarded a Virginia Space Grant Consortium Undergraduate Research Scholarship!
- 7/9/15: Congratulations to Shreya for successfully defending her PhD dissertation and accepting a postdoc position at Columbia University!
- 4/17/15: Congratulations to Yalda for successfully defending her PhD dissertation and accepting a postdoc position at UC San Francisco!
- 4/17/15: Congratulations to Nick for successfully defending his PhD dissertation and accepting a postdoc position at Columbia University/ARL!