Sections
Speakers - IAMCS Workshop in
Large-Scale Inverse Problems and Uncertainty Quantification
Plenary Speakers:
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