Technical Speakers :

Wolfgang Bangerth, Texas A&M University
Mark Berliner, Ohio State University
George Biros, University of Texas at Austin
Tan Bui-Thanh, University of Texas at Austin
Colin Fox, University of Otago, Dunedin, New Zealand
Mark Girolami, University College, London
Alexander Gray, Georgia Institute of Technology
Patrick Heimbach, Massachusetts Institute of Technology
Lior Horesh, IBM
Anna Michalak, Stanford
Robert Moser, University of Texas-Austin
Habib Najm, Sandia National Lab
Henning Omre, Norwegian University of Science and Technology, Trondheim
Juan Restrepo, University of Arizona

Short Talks by:

Drew Kouri, Argonne National Laboratory
Tiangang Cui, Massachusetts Institute of Technology
Troy Butler, Colorado State University


Wednesday, May 22, 2013

Talks are 40 minutes followed by 10 minutes of discussion.

7:45 - 8:45 am Breakfast
8:45 - 9:20 am Introduction, Karen Willcox (Massachusetts Institute of Technology)
9:20 - 10:10 am How do you determine whether the Earth is warming up?
Juan Restrepo (University of Arizona)
10:10am - 10:40 am Break
10:50 - 11:30 am Bayesian Approaches to the Use of Large-Scale Computer Model Output
Mark Berliner (Ohio State University)
11:30 am - 1:00 pm Lunch
1:00 - 1:50 pm Uncertainty Quantification in Global Ocean State Estimation
Patrick Heimbach (Massachusetts Institute of Technology)
1:50 - 2:40 pm Big Data Analysis: High-Performance Statistical Computation
Alexander Gray (Georgia Institute of Technology)
2:40 - 3:10 pm Break
3:10 - 4:00 pm Probabilistic Integration of Differential Equations for Exact Bayesian Uncertainty Quantification
Mark Girolami (University College, London)
4:00 - 4:20 pm An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients
Drew Kouri (Argonne National Laboratory)
4:20 - 5:00 pm Informal Discussion

Thursday, May 23, 2013
7:45 - 8:30 am Breakfast
8:30 - 9:20 am Model Calibration with Processed Data Products
Habib Najm (Sandia National Laboratories)
9:20 - 10:10 am Defining and Using Information in Inverse Problems
Wolfgang Bangerth (Texas A&M University )
10:10 - 10:40 am Break
10:40 - 11:30 am Optimal Experimental Design of Large-scale Ill Posed Problems with Simultaneous Sources
Lior Horesh (IBM)
11:30 am - 1:00 pm Lunch
1:00 - 1:50 pm Data Assimilation by a Multi-scale Ensemble Kalman Filter
Henning Omre (Norwegian University of Science and Technology, Trondheim)
1:50 - 2:40 pm Iterative Gaussian Samplers in Finite Precision
Colin Fox (University of Otago, Dunedin)
2:40 - 3:10 pm Break
3:10 - 4:00 pm Structure-Exploiting Scalable Methods for Large-Scale UQ Problems in High Dimensional Parameter Spaces
Tan Bui-Thanh (University of Texas at Austin)
4:00 - 4:20 pm What are stochastic inverse problems for deterministic models?
Troy Butler (Colorado State University)
4:20 - 4:40 pm Exploiting Low Rank Structures of Large Scale Inverse Problems
Tiangang Cui (Massachusetts Institute of Technology)
4:40 - 5:00 pm Informal Discussion

Friday, May 24, 2013
7:45 - 8:30 am Breakfast
8:30 - 9:20 am Big data meets big models in carbon cycle science: Spatiotemporal tools for constraining the CO2 budget from atmospheric observations
Anna Michalak (Stanford University)
9:20 - 10:10 am Supervised learning algorithms for construction of likelihood and prior densities for Bayesian inverse medium problems
George Biros (University of Texas at Austin)
10:10 - 10:30 am Break
10:30 - 11:20 am Representing Uncertainty Due to Inaccurate Models
Robert Moser (University of Texas at Austin)
11:20 am - 12:00 pm Informal Discussion (all)
11:30 am Box Lunches

Maintained by: Sue Rodriguez
Modified on: June 6, 2013