Invited Speakers:

• Carsten Burstedde, University of Texas at Austin - Scalable Algorithms for Large-Scale Inverse Problems Under Uncertainty
• Yuguang Chen, Chevron Energy Technology Company - Uncertainty Quantification for Subsurface Flow Problems Using Coarse-Scale Models
• Bruce Fryxell, University of Michigan - Calibration and Prediction in a Radiative Shock Experiment
  
• Eduardo Gildin, Texas A&M University - Model Order Reduction in Porous Media Flow
  
• Behnam Jafarpour, Texas A&M University - Model Error Identification Using Sparsity-Based Inversion Techniques for Subsurface Characterization
• Hector Klie, ConocoPhillips Company - Dealing with Uncertainties and the Curse of Dimensionality in Closed-Loop Reservoir Management
  
• Stein Krogstad, SINTEF - Local POD-Based Multiscale Mixed FEMs for Model Reduction of Multiphase Compressible Flow
• Cornelia Kronsbein, Fraunhofer ITWM (Kaiserslautern, Germany) - Multi-Level Monte Carlo for Mult-Scale Simulations of Flows in Heterogeneous Media
  
• Faming Liang, Texas A&M University - A Dynamically Weight Particle Filter for Sea Surface Temperature Prediction
  
• Guang Lin, Pacific Northwest National Laboratory - Uncertainty Quantification & Dynamic State Estimation of Power Grid System
  
• Marko Maucec, Halliburton/Landmark - Towards Geology-Guided Quantitative Uncertainty Management in Dynamic Model Inversion
• Luis Tenorio, Colorado School of Mines - Data Analysis Tools for Uncertainty Quantification of Inverse Problems
  
• Xiao-Hui Wu, ExxonMobil - Multilevel Methods for Uncertainty Quantification - Opportunities and Challenges