Neural Engineering

Privacy and Security in Brain Computer Interfaces

The goal of this project is to make improvements in the privacy and security of BCI-enabled technologies. In doing so, the project consists of two major steps. Read More

Closed-Loop Deep Brain Stimulation

Deep brain stimulation has been shown to be an effective treatment method for many neurological disorders. We hope to make it better by using sensors to enable dynamic control over stimulation parameters. Read More

Brain Computer Interface Optimization

Greater understanding of how users adapt to control BCIs as well as providing enhanced sensory feedback will improve rates of learning and reduce the user burden of BCI control. Read More

Gestureless Touchscreen Interfaces

Individuals with disabilities that result in lack of finger dexterity due to arthritis, tremor, paralysis, or amputation are effectively locked out of the touchscreen based technology that is common on phones, tablets, and computers. We are working on methods to give access to these mobile devices without the need for finger dexterity. Read More

Quantifying Human Cyber-Physical System Interactions

Human interaction with the physical world is increasingly mediated by intelligent machines, such as surgical robots and active prostheses / orthoses. Our goal is to amplify this interaction by designing machines that adapt to and learn from their human partners to accelerate operator learning. Read More

Other past completed projects can be viewed here