Sense, Collect and Move Data
Professor Mesgarani’s research interests are in information processing of acoustic signals at the interface of engineering and neuroscience. Using an interdisciplinary research approach, his lab’s goal is to bridge the gap between these two disciplines by reverse engineering the signal processing in the brain, which in turn inspires novel approaches to emulate human abilities in machines. This integrated research approach leads to better scientific understanding of the brain, novel speech processing algorithms for automated systems, and innovative methods for Brain-Machine Interface and neural prosthesis. Professor Mesgarani received his PhD in Electrical Engineering from University of Maryland. He was a postdoctoral researcher in Center for Language and Speech Processing (CLSP) at Johns Hopkins University, and Neurosurgery Department at University of California San Francisco.