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September 26 - October 2, 2021

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27
Sep

Applied Mathematics Seminar

Conference/Seminar

In-Person: ANSC 119
ZOOM ID: 860 6092 4997 PWD: USUAMS

Title: Sensitivity analysis and uncertainty quantification using novel physics-constrained machine learning

Speaker: Dr. Hamidreza Karbasian, Fields Institute, University of Toronto

Abstract:
A new physics-constrained data-driven approach is proposed for sensitivity analysis and uncertainty quantification of large-scale chaotic dynamical systems. Unlike conventional sensitivity analysis, this approach can solve the unsteady sensitivity function for PDE-constrained optimizations. In this new approach, high-dimensional governing equations, such as Navier-Stokes equations, from physical space are transformed into an unphysical space to develop a closure model in the form of a Reduced-Order Model (ROM). Subsequently, a new data sampling approach is proposed to build a data-driven approach for this framework. It is shown that the proposed approach can capture sensitivities for large-scale chaotic dynamical systems, where Finite Difference (FD) approximations fail ...

10:30 am - 11:30 am | Animal Science |
28
Sep

Data Science & Statistics Seminar

Panel Discussion/Presentation

The Data Science and Statistics Seminar is a monthly series of talks involving current research by data scientists and statisticians from USU and other institutions. Faculty and students from all disciplines are invited to participate in these talks, which tend to involve interdisciplinary applications and methodological developments. Fall 2021 talks will be conducted remotely.

4:00 pm - 5:00 pm | Online/Virtual |
30
Sep

Math & Stats Education Teaching Showcase

Panel Discussion/Presentation

The Mathematics and Statistics Education Group hosts a monthly Teaching Showcase to collaborate and share ideas for strategic motivation and improvement in their teaching opportunities. Please consider sharing a short presentation or story about something you’ve tried in your classes.

Contact Pata Rujirawat 797-0746 if you'd be interested in presenting or for further information.

3:30 pm - 5:00 pm | Online/Virtual |
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