Applied Math Colloquium

<p><strong>Power System Modeling and Optimization to Understand Critical Energy Pathways</strong><br />
Clayton Barrows, National Renewable Energy Laboratory</p>

<p><strong>Model-Free Real-Time System Optimization</strong><br />
Andrey Bernstein, National Renewable Energy Laboratory</p>

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<p><strong>Data-Driven Learning for the Mori-Zwanzig Formalism: a Generalization of the&nbsp;Koopman Learning Framework</strong><br />
Yen Ting Lin, computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory</p>

<p><strong><span>Multidisciplinary Research in the Center for Applied Scientific Computing</span></strong><br />
Ming Jiang, Jeffrey Hittinger and Andrew Gillette, Youngsoo Choi</p>

<p><strong>Quantum Information is Physical</strong><br />
Anne Broadbent, Department of Mathematics and Statistics, University of Ottawa, Canada</p>

<p><strong><span>RONS: Reduced-order nonlinear solutions for PDEs with conserved quantities</span> </strong><br />
<span>Mohammad Farazmand, Department of Mathematics, North Carolina State University</span></p>

<p><strong>Scaling down the laws of thermodynamics</strong><br />
Christopher Jarzynski, Department of Chemistry and Biochemistry, University of Maryland, College Park</p>

<p><strong><span>Fred Daum, Principal Fellow, Raytheon Technologies</span> </strong><br />
<span>Particle Flow for Filtering and Bayesian Deep Learning</span></p>

<p><strong>Bayesian Spatially Varying Multi-Regularization Image Deblurring</strong><br />
Jessica Pillow, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Filtering methods for Inverse Problems</strong><br />
Michael Herty, Department of Mathematics, TWTH Aachen University, Germany</p>