SIAM Central States Section (CSS)

Computational and Applied Mathematics Forum


The SIAM CSS Computational and Applied Mathematics Forum meets on Wednesdays at 3:30-4:30pm CST (alternative time Fridays 3:30-4:30pm CST) via Zoom. For more information about this forum, please contact Ying Wang.

The Zoom link for the forum is:
https://oklahoma.zoom.us/j/96270425796?pwd=K3djTHg5U25kdWFRcGtISHhFcDFqUT09
(Meeting ID: 962 7042 5796    Passcode: 03939463)

Fall 2023

September 25
9:00am (CDT)
Zoom 		Hongkun Zhang
U Mass Amherst 		Machine learning of Hamiltonian dynamical systems
September 26
2:30pm (CDT)
Zoom 		Xingjie Li
UNC Charlotte 		Coarse – Graining of stochastic system
September 27
9:00am (CDT)
Zoom 		Yulong Lu
University of Minnesota 		Two-scale gradient descent ascent dynamics finds mixed Nash equilibria of continuous games: A mean-field perspective
September 27
10:30am (CDT)
Zoom 		Haitao Fan
Georgetown University 		Hysteretic conservation laws, with application to traffic jam analysis
September 27
12:30pm (CDT)
Zoom 		Haiyan Wang
Arizona State University 		Combining network theory and partial differential equation to improve prediction of epidemic spreading
September 27
3:00pm (CDT)
Zoom 		Yulong Xing
Ohio State University 		High Order Structure Preserving Numerical Methods for Euler Equations with Gravitation
September 28
9:00am (CDT)
Zoom 		Ilse Ipsen
North Carolina State 		An Introduction to Randomized Matrix Computations
September 28
10:00am (CDT)
Zoom 		Yongtao Zhang
Nortre Dame 		High order WENO fast sweeping methods for sparse grids and for factored Eikonal equations
September 28
3:30pm (CDT)
Zoom 		Dongbin Xiu
Ohio State University 		Data Driven Modeling of Unknown Systems with Deep Neural Networks
October 25
10:00am (CDT)
Zoom 		Elisabeth Ullmann
Technische Universität München 		Particle dynamics for rare event estimation with PDE-based models
November 2
3:30pm (CDT)
Zoom 		Michael Herty
RWTH Aachen University 		Recent Results on Ensemble Methods For Optimization
November 8
3:30pm (CST)
Zoom 		Maryam Yashtini
Georgetown University 		Counting Objects by Diffused Index: geometry-free and training-free approach
November 13
3:30pm (CST)
Zoom 		Daniel Reynolds
Southern Methodist University 		Flexible Time Integration Methods for Multiphysics PDE Systems
November 29
3:30pm (CST)
Zoom 		Zhaojun Bai
UC Davis 		Interplay between optimization on matrix manifolds and matrix eigenvalue problems
December 6
3:30pm (CST)
Zoom 		Melvin Leok
UCSD 		The Connections Between Discrete Geometric Mechanics, Information Geometry, Accelerated Optimization and Machine Learning

Spring 2023

February 24
3:30pm (CST)
Zoom 		Chi-Wang Shu
Brown Univeristy 		Stability of time discretizations for semi-discrete high order schemes for time-dependent PDEs
March 3
3:30pm (CST)
Zoom 		Eitan Tadmor
University of Maryland 		Swarm-Based Gradient Descent Method for Non-Convex Optimization
March 10
3:30pm (CST)
Zoom 		Zhihong Jeff Xia
Northwestern University 		A reformulated KAM theorem and its applications
March 22
3:30pm (CDT)
Zoom 		Hong Qian
University of Washington 		Toward a New Mathematical Foundation of Statistical Thermodynamics
March 29
3:30pm (CDT)
Zoom 		Leo Rebholz
Clemson University
April 5
3:30pm (CDT)
Zoom 		Xiaobing Feng
University of Tennessee 		A New Theory of Fractional Calculus and Fractional Sobolev Spaces and Applications
April 26
3:30pm (CDT)
Zoom 		Chun Liu
Illinois Institute of Technology 		Active Fluids and Applications: An Energetic Variational Approach
May 17
3:30pm (CDT)
Zoom 		Chiu-Yen Kao
Claremont Mckenna College 		Geometric Optimization Involving Partial Differential Equations
May 24
3:30pm (CDT)
Zoom 		James Nagy
Emory University 		Numerical Methods for Large-Scale Ill-Conditioned Linear Systems
June 9
3:30pm (CDT)
Zoom 		Albert Chern
UCSD 		Geometric Measure Theory for Convexifying and Compactifying Computational Problems
June 21
3:30pm (CDT)
Zoom 		Ronen Basri
Weizmann Institute of Science 		On the Connection between Deep Neural Networks and Kernel Methods