[AI Seminar Series] REMINDER: Seminar by Prof. Fei Xia, tomorrow Friday January 30th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the AI seminar tomorrow; please use the link below if you plan
to attend.
V. Tsotras
------------------------------------

On Sun, Jan 25, 2026 at 3:31 PM Vassilis Tsotras <vassilis.tsotras at ucr.edu>
wrote:

> The next AI Seminar will be on Friday January 30th, 12-1pm, in the MRB
> Seminar Room (1st floor).
>
> *** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/ai-seminar-series-tickets-1981393870404
>
> The talk will be given by *Prof. Fei Xia,* Department of Electrical
> Engineering and Computer Science, UC Irvine
>
> TITLE: AI-Enhanced Programmable Optics: Toward Smarter Bioimaging and
> Optical Processors
>
> ABSTRACT:
> The convergence of artificial intelligence and programmable optics is
> opening new opportunities for both biological imaging and optical machine
> learning. By shifting complexity from optical hardware to data-driven
> algorithms and reconfigurable systems, these approaches promise faster,
> more adaptive, and more efficient information processing.
> In this talk, I present two complementary directions in this emerging
> field. First, I introduce an AI-enhanced microscopy framework that
> reconstructs depth-resolved volumetric information from limited
> two-dimensional measurements. By learning strong three-dimensional priors
> with generative models, this method improves reconstruction quality while
> reducing acquisition time, enabling faster imaging of dynamic biological
> processes. Second, I discuss programmable optical processors for machine
> learning, highlighting reconfigurable optical architectures that enable
> nonlinear encoding and programmable optical matrix–vector multiplication
> using complex media.
> Together, these results point toward scalable optical systems that can
> potentially transform high-speed bioimaging and energy-efficient machine
> learning.
>
>
> Bio:
> Fei Xia is an Assistant Professor of Electrical Engineering and Computer
> Science (EECS), an affilated faculty member at Beckaman Laser Institute at
> the University of California, Irvine. She completed her Ph.D. at Cornell
> and her postdoc at École Normale Supérieure (ENS) in Paris. She leads a
> research team working at the interface of optics, computation, and the
> brain, with a particular interest in designing smart optical systems to
> image, sense, and process biomedical information probed by light. She aims
> to provide innovative solutions to challenging biomedical needs through the
> co-design of hardware and software. Fei has been recognized by several
> major awards and honors, including the NIH Venture Program Awardee, Scialog
> Fellow, Rising Star in Light, Optica Foundation Challenge Award, Seal of
> Excellence for Marie Skłodowska-Curie Fellowship, the SPIE Women in Optics,
> Data Open Championship and the Mong NeuroTech Fellowship.
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
> speakers working on cutting edge Foundational AI or applying AI in their
> research. The goal of these seminars is to inform the UCR community about
> current trends in AI research and promote collaborations between faculty
> in this emerging field. These seminars are open to interested faculty and
> graduate/undergraduate students. Please forward this email to other
> colleagues or students in your lab that may be interested. After the
> seminar a discussion will follow for questions, open problems, ideas for
> possible collaborations etc.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> co-Director, RAISE at UCR Institute
>
> Amit Roy-Chowdhury
> Professor, ECE Department
> co-Director, RAISE at UCR Institute
>
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