18 - 22 August 2024
San Diego, California, US
Plenary Event
Nanoscience + Engineering Plenary
19 August 2024 • 8:30 AM - 9:55 AM PDT | Conv. Ctr. Room 6A 
Session Chair: Giovanni Volpe, Göteborgs Univ. (Sweden)

8:30 AM - 8:35 AM:
Welcome and Opening Remarks

8:35 AM - 9:15 AM:
AI photonics

Hui Cao
Yale Univ. (United States)

Artificial intelligence (AI) techniques have boosted the capability of optical imaging, sensing, and communication. Concurrently, photonics facilitate the tangible realization of deep neural networks, offering potential benefits in terms of latency, throughput, and energy efficiency. In this talk, I will discuss our efforts in AI photonics with two examples. The first involves employing a convolutional neural network for achieving single-shot full-field measurement of optical signals. The second example pertains to implementing a deep neural network with a multiple-scattering system featuring structural nonlinearity, thereby enabling nonlinear computations using linear optics.

Hui Cao is the John C. Malone Professor of Applied Physics and of Physics, and a professor of Electrical Engineering at Yale University. Her technical interests and activities are in the areas of complex lasers, mesoscopic physics, complex photonic materials and devices, nanophotonics, and biophotonics. She authored or co-authored one monograph, twelve book-chapters, ten review articles and 280 journal papers. Cao is a Fellow of the SPIE, AAAS, APS, IEEE and OSA. She is an elected member of the National Academy of Sciences and the American Academy of Arts and Sciences.

9:15 AM - 9:55 AM:
Meta-optics for edge computing

Jason Valentine
Vanderbilt Univ. (United States)

With the proliferation of networked sensors and artificial intelligence, there is an increasing need for edge computing where data is processed at the sensor level to reduce bandwidth and latency while still preserving energy efficiency. In this talk, I will discuss how meta-optics can be used to implement computation for optical edge sensors, serving to off-load computationally expensive convolutional operations from the digital platform, reducing both latency and power consumption. I will discuss how meta-optics can augment, or replace, conventional imaging optics in achieving parallel optical processing across multiple independent channels for identifying, and classifying, both spatial and spectral features of objects.

Professor Jason Valentine received a B.S. in mechanical engineering from Purdue University in 2004 and a Ph.D. in mechanical engineering from UC Berkeley in 2010. At Vanderbilt he is currently a Professor of Mechanical Engineering and the Deputy Director of the Vanderbilt Institute of Nanoscale Science and Engineering (VINSE). Prof. Valentine researches the optical properties of nanostructured metamaterials for imaging and image processing, photodetection, and dynamically reconfigurable optics for wavefront control. He has received an NSF CAREER Award, the Office of Naval Research Young Investigator Award, and a Chancellor’s Award for Research.


Event Details

FORMAT: General session with live audience Q&A to follow presentations.
MENU: Coffee, decaf, and tea will be available outside the presentation room.
SETUP: Theater style seating.