ECE Seminar Series Fall 2016
Wednesday October 19th 3-4 PM, ITEB 336
A Decade of Compressive Sensing-application in optical sensing and imaging, achievements and challenges
Ben Gurion University of Negev, Israel
Abstract: The theory of compressive sensing (CS) has attracted great attention since it was published a decade ago. CS has found natural applications in imaging and optical sensing sciences, yielding a great number of publications. From a decade perspective, I will present an overview of the main achievements in optical CS engineering and discuss remaining challenges. I will survey the main applications and present representative examples form our and other’s group results. I will highlight the benefits gained from the CS application in optics, present the main implementation challenges of the mathematical CS theory in optical engineering. Finally, future directions will be discussed.
Short Bio: Adrian Stern received his B.Sc., M. Sc. (cum laude) and PhD degrees from Ben-Gurion University of the Negev, Israel, in 1988, 1997 and 2003 respectively, all in Electrical and Computer Engineering. Currently he is an Associate Professor at Electro-Optical Engineering department at Ben-Gurion University in Israel where he serves as department head. During the years 2002-2004 he was a postdoctoral fellow at University of Connecticut. During 2007-2008 he served as senior research and algorithm specialist for GE Molecular Imaging, Israel. In 2014-2015, during his sabbatical leave, he was a visitor scholar and professor at Massachusetts Institute of Technology (MIT). His current research interests include computational imaging and sensing, 3D imaging, compressed imaging, phase-space optics, bio-medical imaging. Dr. Stern has published over 150 technical articles in leading peer reviewed journals and conference proceeding, more than quarter of them being invited papers. Dr. Stern is a Fellow of SPIE, member of IEEE, OSA. He served as editor for Optics Express journal. He is the editor of the first book to be published on optical compressive sensing.
Published: October 5, 2016