[AI Seminar Series] REMINDER: Seminar by Prof. Daniele E. Schiavazzi, this Friday May 1st, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the AI Seminar this Friday at noon in the MRB Seminar room.
Please use the link below to register if you plan to attend.

V. Tsotras
--------------------------

On Sat, Apr 25, 2026 at 2:13 PM Vassilis Tsotras <vassilis.tsotras at ucr.edu>
wrote:

> The next AI Seminar will be on Friday May 1st, 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-1988215879216
>
> The talk will be given by *Prof. Daniele E. Schiavazzi,* Department of
> Applied and Computational Mathematics and Statistics, University of Notre
> Dame
> This talk is co-sponsored by the Interdisciplinary Center for Data-driven
> Modeling in Biology.
>
> TITLE: Model Synthesis for Scientific Agents
>
> ABSTRACT:
> Applications of generative modeling and deep learning in physics-based
> systems have traditionally focused on building emulators - computationally
> inexpensive approximations of input-to-output maps. However, the remarkable
> flexibility of data-driven architectures opens opportunities to broaden
> their scope to include model inversion and identifiability analysis. We
> present InVAErt networks, a framework for data-driven analysis and
> synthesis of parametric physical systems. Through numerical experiments, we
> demonstrate the framework's versatility across a wide range of problems,
> including linear systems of equations, spatio-temporal PDEs, and
> lumped-parameter physiological models. We further introduce an extension
> for systems with observational noise, enabling the separation of structural
> from practical identifiability in complex ill-posed inverse problems.
> Finally, we discuss recent efforts to integrate InVAErt networks with large
> language model agents for applications in cardiovascular health.
>
>
> Bio:
> Dr. Schiavazzi is an Associate Professor in the Applied and Computational
> Mathematics and Statistics Department, and a Concurrent Associate Professor
> in the AME Department at the University of Notre Dame. He graduated with
> honors and received a Ph.D. degree in Applied Mathematics from Universita'
> degli Studi di Padova, Italy. Dr. Schiavazzi completed his Ph.D. thesis as
> a Visiting Researcher at Stanford University, followed by a Postdoctoral
> position at University of California, San Diego and Stanford University.
> His main research interests are in stochastic analysis, multi-resolution
> approximation, numerical modeling and finite element analysis, adaptive
> Markov chain Monte Carlo estimation and use of computational models to
> inform clinical decision making under uncertainty.
>
> ------------------------------------
> 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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