Bio:

David Brady is the J. W. And H. M. Goodman Endowed Chair of Optical Sciences at the University of Arizona. He was previously on the faculty of Duke University and the University of Illinois. His degrees are from Caltech and Macalester College. He is a Fellow of SPIE, IEEE and Optica and received both the SPIE Denis Gabor Award and the Optica Emmett Leith Award for his work on compressive holography. He has worked on computational imaging systems for three decades and his lab developed numerous snapshot compressive imaging systems, gigapixel cameras and wavefront sensors. He is the author of Optical Imaging and Spectroscopy (Wiley-OSA 2009) and the forthcoming text Computational Optical Imaging (SPIE 2025). 

Abstract: 

Computational imaging consists of joint design of physical measurement strategies and image estimation algorithms. The development of compressive measurement and neural estimation strategies has revolutionized imaging system design, including significant new approaches to x-ray tomography, wavefront sensing (holography and phase retrieval) and photography. This talk reviews this progress and presents examples of sampling system design.