Operator-Theoretic Learning and Control: A Paradigm Shift in Stochastic Systems Theory

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Predictive control using data-driven Koopman surrogate models

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A Graph-Theoretic Perspective on Optimization: Theory, Modeling, Algorithms, and Applications

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Communicating Mathematical and Technical Content to all Audiences Workshop

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Control-oriented reduced-order models for digital twins

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Stochastic Optimization with Superquantile Constraints: A Fast Computational Approach

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Sparse Sensor Optimization Under Uncertainty

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Control-oriented optimal sensor placement for inverse problems governed by PDEs

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An Inexact Trust-Region Method for Nonsmooth and Risk-Averse PDE-Constrained Optimization

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