IEEE Photonics Society

Boston Photonics Society Chapter

Boston Chapter of the IEEE Photonics Society

Machine Learning and Optical Systems

Wednesday, October 7, 14, 21, 28 and November 4, 2020, 7:00-9:30 PM
Location: Online Seminar

November 4, 2020
8:15 PM

Online Seminar

Deep Learning of Ultrafast Pulses with a Multimode FiberVideo

Prof. Hui Cao, Yale University, New Haven, CT


Prof. Hui Cao, Yale University, New Haven, CT

Abstract:  Characterizing ultrashort optical pulses has always been a critical but difficult task, which has a broad range of applications. We propose and demonstrate a self-referenced method of characterizing ultrafast pulses with a multimode fiber. The linear and nonlinear speckle patterns formed at the distal end of a multimode fiber are used to recover the spectral amplitude and phase of an unknown pulse. We deploy a deep learning algorithm for phase recovery. The diversity of spatial and spectral modes in a multimode fiber removes any ambiguity in the sign of the recovered spectral phase. Our technique allows for single-shot pulse characterization in a simple experimental setup. This work reveals the potential of multimode fibers as a versatile and multi-functional platform for optical sensing.


Biography:  Hui Cao is the John C. Malone Professor of Applied Physics and of Physics, and a professor of Electrical Engineering at Yale University. She received her Ph.D. degree in Applied Physics from Stanford University in 1997.  Prior to joining the Yale faculty in 2008, she was on the faculty of Northwestern University from 1997 to 2007.  Her technical interests and activities are in the areas of mesoscopic physics, complex photonic materials and devices, nanophotonics, and biophotonics. She authored or co-authored one monograph, twelve book-chapters, seven review articles and 250 journal papers. She is a Fellow of the APS, OSA, AAAS and IEEE.


Advance registration required, but there is no fee (Open to all IEEE members as well as non-members)

Click here for registration

The workshop expenses have
been generously supported by:



For more information on the technical content of the workshop, contact either:
1) Keisuke Kojima, (, Chair
2) Ajay Garg, (, Co-Chair
3) Dean Tsang, (, Co-Chair
4) Bill Nelson, (, Co-Chair