Compressive sensing

Michael B. Wakin is the Ben L. Fryrear Associate Professor in the Department of Electrical Engineering and Computer Science at the Colorado School of Mines (CSM). Dr. Wakin received a B.S. in electrical engineering and a B.A. in mathematics in 2000 (summa cum laude), an M.S. in electrical engineering in 2002, and a Ph.D. in electrical engineering in 2007, all from Rice University. He was an NSF Mathematical Sciences Postdoctoral Research Fellow at Caltech from 2006-2007 and an Assistant Professor at the University of Michigan from 2007-2008. His research interests include sparse, geometric, and manifoldbased models for signal processing and compressive sensing. In 2007, Dr. Wakin shared the Hershel M. Rich Invention Award from Rice University for the design of a single-pixel camera based on compressive sensing; in 2008, Dr. Wakin received the DARPA Young Faculty Award for his research in compressive multisignal processing for environments such as sensor and camera networks; in 2012, Dr. Wakin received the NSF CAREER Award for research into dimensionality reduction techniques for structured data sets; and in 2014, Dr. Wakin received the Excellence in Research Award for his research as a junior faculty member at CSM. A major focus in signal processing is on developing low-dimensional models for the structure inherent in high-dimensional signals. Indeed, such models are key to reducing the burden of acquiring, processing, transmitting, and understanding signals in data-rich settings and improving the quality of information that can be extracted from signals in data-starved settings. An exciting byproduct of this work has been the emergence of a field known as Compressive Sensing (CS). CS is based on the revelation that certain high-dimensional signals obeying lowdimensional models can actually be recovered from small numbers of (possibly random) linear measurements.