Real Time High Fidelity Bayesian Inversion, Prediction, and Optimal Sensor Placement for Large Scale LTI Systems Governed by Wave Equations, with Application to a Digital Twin for Tsunami Early Warning

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Scalable Reduced Order Modelling For Digital Twins – Hype or Reality

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Nested Operator Inference for data-driven learning of physics-based reduced-order models

Nicole Aretz
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Advances in certifiable model reduction: parametric LTI systems and operator learning

Akil Narayan
November 13, 2025

Short talk: Surrogate modeling for adaptive predictive control over parameter spaces

Hassan Iqbal
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Short Talk: Reduced basis methods for radiative transfer equation

Fengyan Li
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Enhancing CFD simulations for digital twins by model reduction and scientific machine learning

Gianluigi Rozza
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Optimization for Low Dimensional Modeling

Laura Balzano
November 12, 2025

Dynamical model order reduction of parametric particle-based kinetic plasma models

Cecilia Pagliantini
November 12, 2025