Vikash Gilja, Ph.D.Assistant Professor, UC San Diego
Department of Electrical and Computer Engineering
And, by courtesy, Health Sciences Neurograduate Program
Dr. Gilja's research focuses on brain-machine interfaces (BMIs) with a specific interest in translating basic research into clinical applications. Using statistical signal processing, machine learning and real-time embedded systems, he develops BMIs that effectively use neural signals to control prosthetic devices for individuals with paralysis and neurodegenerative disease.
More generally, he is interested in the development of diagnostic and therapeutic methods that leverage novel techniques and insights from neuroscience to better understand and address neurological and psychological disorders. His approach uses large scale datasets and closed loop control experiments with a variety of neural measurement techniques, including functional imaging and electrophysiology. At UC San Diego, he is using this multi-modal neural measurement approach with human participants to advance the engineering science of BMI and broaden their potential for clinical application.
Honors & Awards
Updated: 2016 - May - 06