AMS :: Fall Southeastern Sectional Meeting, AMS Special Session

AMS Sectional Meeting AMS Special Session

Current as of Friday, December 21, 2018 16:16:37

Inquiries: meet@ams.org

Fall Southeastern Sectional Meeting

University of Arkansas, Fayetteville, AR
November 3-4, 2018 (Saturday - Sunday)
Meeting #1142

Associate secretaries:

Brian D Boe, AMS brian@math.uga.edu

Special Session on Validation and Verification Strategies in Multiphysics Problems

Saturday November 3, 2018, 8:00 a.m.-10:50 a.m.
Special Session on Validation and Verification Strategies in Multiphysics Problems, I
Room 202, Science Engineering Hall
Organizers:
Tulin Kaman, University of Arkansas tkaman@uark.edu
- 8:00 a.m.
  Numerical challenges in turbulent mixing simulations.
  Tulin Kaman*, University of Arkansas, Department of Mathematical Sciences
  (1142-76-204)
- 8:30 a.m.
  A Physics Informed Gaussian Process Regression Method with Application to Subsurface Flow.
  Xiu Yang*, Pacific Northwest National Laboratory
  (1142-41-203)
- 9:00 a.m.
  Bayesian Modeling Ideas for Data Assimilation and Uncertainty Quantification.
  Avishek Chakraborty*, University of Arkansas
  (1142-62-241)
- 9:30 a.m.
  The Consistent Bayesian Approach for Stochastic Inverse Problems.
  Tim M Wildey*, Sandia National Laboratories
  Troy Butler, University of Colorado - Denver
  John Jakeman, Sandia National Laboratories
  (1142-28-64)
- 10:00 a.m.
  Fast Methods for Bayesian Optimal Experimental Design.
  Brad Marvin, The University of Texas at Austin
  Tan Bui-Thanh*, The University of Texas at Austin
  (1142-60-6)
- 10:30 a.m.
  Estimating and controlling ``communication'' errors in multiphysics problems.
  Simon J Tavener*, Colorado State University
  Varis Carey, University of Colorado Denver
  Donald Estep, Colorado State University
  Victor Ginting, University of Wyoming
  David Kay, University of Oxford
  (1142-65-167)

Saturday November 3, 2018, 3:00 p.m.-5:50 p.m.
Special Session on Validation and Verification Strategies in Multiphysics Problems, II
Room 202, Science Engineering Hall
Organizers:
Tulin Kaman, University of Arkansas tkaman@uark.edu
- 3:00 p.m.
  K41, K62 and all that.
  James Glimm*, Stony Brook University
  (1142-76-5)
- 3:30 p.m.
  Model order reduction for parametrized nonlinear hyperbolic problems as an application to Uncertainty Quantification.
  Remi Abgrall*, Institute of mathematics, University of Zurich, Switzerland
  Roxana Crisovan, Institute of mathematics, University of Zurich, Switzerland
  Davide Torlo, Institute of mathematics, University of Zurich, Switzerland
  Svetlana Tokareva, Institute of mathematics, University of Zurich, Switzerland
  (1142-65-54)
- 4:00 p.m.
  Multi-grid and multi-level Monte Carlo method for Stokes-Darcy model with random permeability.
  Xiaoming He*, Missouri University of Science and Technology
  (1142-65-30)
- 4:30 p.m.
  Diffusive Optical Tomography in the Bayesian Framework.
  Kit C Newton*, University of Wisconsin-Madison
  Qin Li, University of Wisconsin-Madison
  Andrew Stuart, California Institute of Technology
  (1142-65-128)
- 5:00 p.m.
  Optimal control of PDEs: Application to brain tumor modeling.
  Andreas Mang*, Department of Mathematics, University of Houston
  Klaudius Scheufele, Institute for Parallel and Distributed Systems, University of Stuttgart
  Shashank Subramanian, Institute for Computational Engineering and Sciences, University of Texas at Austin
  Miriam Mehl, Institute for Parallel and Distributed Systems, University of Stuttgart
  George Biros, Institute for Computational Engineering and Sciences, University of Texas at Austin
  (1142-49-39)
- 5:30 p.m.
  Machine learning on morphometry, an evaluation of classifiers' performance on closely related species delimitation.
  Binod Regmi*, University of Arkansas, Department of Biological Sciences, Fayetteville, AR, 72703
  Marlis Douglas, University of Arkansas, Department of Biological Sciences
  Michael Douglas, University of Arkansas, Department of Biological Sciences
  (1142-92-205)

Inquiries: meet@ams.org