José M. F. Moura is the Philip L. and Marsha Dowd University Professor at Carnegie Mellon University, with the Electrical and Computer Engineering and, by courtesy, the BioMedical Engineering. He is a member of the US National Academy of Engineers, see IEEE Technical SPOTLIGHT announcement, Fellow of the US National Academy of Inventors, a corresponding member of the Portugal Academy of Science, an IEEE Fellow, and Fellow of the AAAS.
Moura’s research interests are in Data Science and Signal Processing on Graphs, also referred to as Graph Signal Processing, including distributed decision and inference in networked systems and analytics for Big Data. In additiona, recent projects include distributed detection in sensor networks, robust detection and imaging by time reversal, bioimaging, SPIRAL, DSP on Graphs, SMART, and image/video processing.
Moura’s work has been sponsored by several DARPA, NIH, ONR, ARO, AFOSR, and NSF grants, and several industrial grants.
Moura Lab’s technology has been transitioned to companies, including Intel (Spiral technology distributed as IPPGen with Intel’s IPP library), Siemens, and others.
