Numerical Methods for Data Science and Engineering
Will return Fall 2022
This seminar is dedicated to sharing and discussing recent discoveries in numerical methods for real-life applications, such as medical imaging, weather forecasting, and epidemiology.
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Spring 2022
- Feb 18: Qingguo Hong, Pennsylvania State University, A Priori Analysis to Numerical PDEs by Neural Network Functions.
- Mar 4: Iván Ojeda-Ruiz, Texas State University, 2D and 3D Image Inpainting Via a Constrained Smoothing and Dynamic Mode Decomposition.
- Mar 25: Johgho Park, Korea Advanced Institute of Science and Technology, Neural networks with parallel structures: exploiting mathematical ideas in designing neural networks.
- Apr 8: Jaroslaw Jaracz, Texas State University, Existance and Uniqueness of Solutions to a Regularized Oldroyd-B model
- April 29: Pedro Maia, University of Texas at Arlington, Mathematical models and methods in computational neurology