Our main research focus is on improving the understanding of integrative brain functions using cutting-edge neural engineering and cognitive neuroscience knowledge to develop translational techniques to nourish science and enhance quality of life for patients with neurological impairments.

 

Some of our current research projects are:

• Graph-centric exploration of nonlinear neural dynamics in visuospatial-motor functions during Immersive human-computer interactions.
• Integrated framework for recording and decoding multimodal neural associations of visual hallucinations and motor functions in Parkinson’s disease (PD).
• Investigating the neural signatures of auditory perception using multimodal EEG/fNIRS Deep Graph-based neural networks and Deep Convolutional Neural networks.
• Investigating functional neural dynamics underpinning auditory processing dysfunction through a multiscale recording-stimulation framework.
• Investigating electro-vascular neural patterns of motor and non-motor functions in patients with neurological impairments.
• Developing hybrid BCI systems guided by personalized algorithms for patients with amyotrophic lateral sclerosis (ALS).
• Developing graph-based data fusion framework towards guiding hybrid BCIs.

We gratefully acknowledge the support from our sponsors National Science Foundation (NSF) and Rhode Island IDeA Network of Biomedical Research Excellence (RI-INBRE).