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Data-Driven Model Reduction, Scientific Frontiers, and Applications

April 27, 2017

8:30 am - 5:00 pm

Rudder Complex
Rudder Complex, 401 Joe Routt Blvd,
College Station, TX 77840 United States
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Data-Driven Model Reduction, Scientific Frontiers, and Applications
Data-Driven Model Reduction, Scientific Frontiers, and Applications


Data-driven modeling is a cornerstone for many applications. Finding appropriate scale/level models conditioned to the data requires some type of reduced-order modeling. This workshop brings together experts working on mathematical, statistical, computational, and engineering aspects of model reduction to share their research experience.

The workshop will be hosted by Texas A&M University in College Station, Texas, and is supported by the Institute for Scientific Computation, Texas A&M Energy Institute, and Foundation CMG.

Organizing Committee



All workshop presentations will take place in Rudder Tower (RDER) 510. Please note that the schedule is tentative and subject to change. All times listed are local time.

Thursday, April 27, 2017

8:30 – 9 a.m.Costas Kravaris, Department of Chemical Engineering
Dynamic Model Reduction for Two-Stage Anaerobic Bioreactors
9 – 9:30 a.m.Paul Cizmas, Department of Aerospace Engineering
A Proper Orthogonal Decomposition Method for Deforming Computational Domains
9:30 – 10 a.m.Suman Chakravorty, Department of Aerospace Engineering
A Computationally Optimal Randomized Proper Orthogonal Decomposition Technique
10 – 10:30 a.m.Irina Gaynanova, Department of Statistics
Joint Exploratory Analysis of Multiple Heterogeneous Data Source
10:30 – 11 a.m.Break
11 – 11:30 a.m.Eduardo Gildin, Department of Petroleum Engineering
Model Reduction for Efficient Oil Reservoir Simulation and Production Optimization
11:30 a.m. – NoonAnirban Bhattacharya, Department of Statistics
Noon – 1:30 p.m.Lunch Break
1:30 – 2 p.m.Simon Foucart, Department of Mathematics
Computing a Quantity of Interest from Observational Data
2 – 2:30 p.m.Richard Gibson, Department of Geology & Geophysics
Applications of Generalized Multiscale Finite Element Modeling to Efficient and Adaptive Seismic Imaging Techniques
2:30 – 3 p.m.Faruque Hassan, Department of Chemical Engineering
Data-Driven Feasibility Mapping and Optimization
3 – 3:30 p.m.Break
3:30 – 4 p.m.Joseph Kwon, Department of Chemical Engineering
Development of Local Model Reduction Technique: Application to Hydraulic Fracturing
4 – 4:30 p.m.Mike King, Department of Petroleum Engineering
Upscaling of Fluid Flow in High Contrast Systems
4:30 – 5 p.m.Yalchin Efendiev, Department of Mathematics

Contact Information

If you have any questions concerning this workshop, email Brad Shumbera at