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: Investigating functional neural dynamics underpinning auditory processing dysfunction through a multiscale recording-stimulation framework, multi-view deep learning for classification of electrical and hemodynamic signals, investigating electro-vascular neural patterns of motor and non-motor functions in patients with amyotrophic lateral sclerosis (ALS), developing hybrid BCI systems guided by personalized algorithms for patients with ALS, developing graph-based data fusion framework towards guiding hybrid BCIs, and investigating brain-body synchronization patters in patients with Parkinson’s disease (PD).

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