Technical Speakers:
Mike Christie, Heriot Watt University
Yalchin Efendiev, Texas A&M University
Omar Ghattas, Univ. of Texas, Austin
Dave Higdon, LANL
Jari Kaipio, University of Kuopio
Peter Kitanidis, Stanford University
Youssef Marzouk, Sandia National Laboratories
Dennis McLauphlin, MIT
Doug Nychka, NCAR
James Rawlings, University of Wisconsin-Madison
David Ruppert, Cornell
Adrian Sandu, Virginia Polytechnic Institute and State University
Mrinal Sen, UT Austin
Delphine Sinoquet, Institut Francais de Petrole
Erkki Somersalo, Helsinki Univ. of Technology
Philip Stark, Univ. of California, Berkeley
Laura Swiler, Sandia National Laboratories
Curt Vogel, Montana State University
Nicholas Zabaras, Cornell University

Program

Monday, September 10, 2007 - Tutorials
Chairs: Bart Van Bloemen Waanders (am) and George Biros (pm)

Tutorial talks are 60 minutes with 30 minutes of discussion
8:15 - 8:45 am Breakfast
8:45 - 9:00 am Welcome
Bart van Bloemen Waanders
9:00 - 10:30 am Statistics
Phillip Stark (University of California, Berkeley)
10:30 - 12:00 pm Bayesian Framework
Erkki Somersalo (Helsinki University of Technology)
12:00 - 1:00 pm Lunch
1:00 - 2:30 pm Kalman Filtering
Doug Nychka (National Center for Atmospheric Research)
2:30 - 4:00 pm The Perspective from PDE-Constrained Optimization
Omar Ghattas (University of Texas at Austin)


Tuesday, September 11, 2007- Technical Talks
Chairs: Luis Tenorio (am) and David Keyes (pm)

Talks are 25 minutes followed by 10 minutes of discussion
8:30 - 9:00 am Breakfast
9:00 - 9:35 am Inverse Problems, Model Reduction and Uncertainties
Jari Kaipio (University of Kuopio)
9:35 - 10:10 am The Role of Solution Error Modelling in Inverse Problems and Uncertainty Quantification
Mike Christie (Heriot Watt University)
10:10 - 10:30 am Break
10:30 - 11:05 am Calibration Under Uncertainty: Comparison of Least-Squares and Bayesian Methods
Laura Swiler (Sandia National Laboratories)
11:05 - 11:40 am Geostatistical and Bayesian Approaches to the Inverse Problem
Peter Kitanidis (Stanford University)
11:40 - 1:00 pm Lunch
1:00 - 1:35 pm Computational Tools for Data Assimilation in Atmospheric CTMs
Adrian Sandu (Virginia Polytechnic Institute and State University)
1:35 - 2:10 pm A Sparse Grid Collocation Approach to Stochastic Inverse Problems
Nicholas Zabaras (Cornell University)
2:10 - 2:30 pm Break
2:30 - 3:05 pm

Optimization and Uncertainty Analysis for Seismic Inverse Problems
Delphine Sinoquet (Institut Francais de Petrole)
3:05 - 3:40 pm

A Hybrid Approach for State Estimation: Combining Moving Horizon Estimation and Particle Filtering
James Rawlings (University of Wisconsin-Madison)


Wednesday, September 12, 2007- Technical Talks
Chairs: Bani Mallick (am) and Karen Willcox (pm)

Talks are 25 minutes followed by 10 minutes of discussion
8:30 - 9:00 am Breakfast
9:00 - 9:35 am Biologically Motivated Methods for Inverse Problems in Vision
Curt Vogel (Montana State University)
9:35 - 10:10 am Calibrating Environmental Engineering Models
David Ruppert (Cornell University)
10:10 - 10:30 am Break
10:30 - 11:05 am Stochastic Spectral Methods for Bayesian Inference in Inverse Problems
Youssef Marzouk (Sandia National Laboratories)
11:05 - 11:40 am Estimating Cosmological Parameters Using Physical Observations and Simulations
David Higdon (Los Alamos National Laboratory)
11:40 - 1:00 pm Lunch
1:00 - 1:35 pm Uncertainty in Spatial Patterns: Generating Realistic Replicates for Ensemble Data Assimilation Problems
Dennis McLauphlin (Massachusetts Institute of Technology)
1:35 - 2:10 pm The Use of Coarse-Scale Models in Uncertainty Quantification
Yalchin Efendiev (Texas A&M University)
2:10 - 2:30 pm Break
2:30 - 3:05 pm

Uncertainty Quantification in Climate Prediction
Mrinal Sen (University of Texas at Austin)


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Modified on: October 3, 2007