[11-Aug @9:30am] Seminar on Optical Neural Processing for Super Cameras

[11-Aug @9:30am] Seminar on Optical Neural Processing for Super Cameras AbstractThe light field incident through camera aperture typically consists of more than 10^16 photons per second, suggesting that cameras capturing megapixel scale images at 30 frames per second vastly under represent the optical data cube. Here we briefly review the history of gigapixel array cameras and optical neural processing. We then discuss recent results suggesting a path combine these technologies in low power optical processing for terapixel per second super cameras.SpeakerProf. David J. BRADYJ. W. and H. M. Goodman Endowed Professor of Optical Sciences,University of ArizonaSpeaker’s BiographyProf. David J. BRADY is the J. W. and H. M. Goodman Endowed Professor of Optical Sciences at the University of Arizona, where he leads the camera lab. He was previously on the faculty of Duke University, Duke Kunshan University, and the University of Illinois. He earned a B. A. in physics and math from Macalester College and M. S. and Ph. D. degrees from Caltech, where his thesis explored holographic implementation of artificial neural networks. He is the author of Optical Imaging and Spectroscopy (Wiley-OSA, 2009) and Computational Optical Imaging (SPIE, 2025). His course on computational optical imaging is also presented at https://www.youtube.com/@arizonaCamera. He is a fellow of Optica, SPIE and IEEE and the winner of the 2013 SPIE Denis Gabor Award and the Optical 2023 Emmett Leight Medal.  His technical contributions include gigapixel cameras, snapshot compressive imaging, and holographic tensor processors.OrganiserProf. Evan Yifan PENGDepartment of Electrical and Computer Engineering,The University of Hong KongAll are welcome! Date/Time: 11/08/2026 09:30-10:30 Venue: CB-603, 6/F, Chow Yei Ching Building, The University of Hong Kong Organized by: Department of Electrical and Electronic Engineering

Uploaded at 2026/08/09