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 reallife applications, such as medical imaging, weather forecasting, and epidemiology.



Spring 2022
 Feb 18: Qingguo Hong, Pennsylvania State University, A Priori Analysis to Numerical PDEs by Neural Network Functions.
 Mar 4: Iván OjedaRuiz, 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 OldroydB model
 April 29: Pedro Maia, University of Texas at Arlington, Mathematical models and methods in computational neurology