Event Details

With the growing demands for rapid and efficient computing, new neuromorphic and quantum approaches are widely considered. Hybrid systems that leverage a combination of analog and digital computing may provide a powerful platform. For example, optical preprocessing with simple electronics can offload specific electronic functions directly to the optics and additionally offer low-power, high throughput computing. Within this hybrid optical and electronic paradigm, I present some of my team’s recent efforts to quantify randomness and random functions with meso-ordered metaphotonic encoders. This biospeculative approach offers simple, robust, and interpretable schemes for low-SWaP image processing.

October 10, 2025

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Host: Steve Crago
POC: Amy Kasmir

Speaker Bio

Luat Vuong received her BS in Engineering Physics from UC Berkeley and PhD in Applied Physics from Cornell University. She is a recipient of the 2007 Fulbright Fellowship, 2010 European Council MC-IIF Global Postdoctoral Fellowship, 2012 NSF Career Award, a 2016 J-FRASE, Sloan-funded Award, the 2019 DARPA Young Faculty Award, and the 2021 DARPA Director's Fellowship. Her current research largely involves free-space optics and is centered at the intersection of statistics, optics, and meso-ordered materials.