Description
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 and Energi Simulation.
Organizing Committee
- Yalchin Efendiev, Institute for Scientific Computation
- Eduardo Gildin, Energi Simulation
- Joseph Kwon, Artie McFerrin Department of Chemical Engineering
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- Akhil Arora, Artie McFerrin Department of Chemical Engineering
- Reduced Order Model-Based Process Synthesis, Optimization, and Intensification
- Patrick Behne, Department of Nuclear Engineering
- Model Order Reduction for
Radiation Transport - Anirban Bhattacharya, Department of Statistics
- Reexamining the Proton-Radius Problem Using Constrained Gaussian Processes
- Ulisses Braga-Neto, Department of Electrical & Computer Engineering
- Partially-Observed Boolean Dynamical Systems
- Suman Chakravorty, Department of Aerospace Engineering
- Randomized Model Reduction for Large Scale Systems
- Yalchin Efendiev, Department of Mathematics
- Upscaling of Multi-Phase Flow and Transport Using Non-Local Multi-Continuum Approach
- Eduardo Gildin, Harold Vance Department of Petroleum Engineering
- Model Reduction of Coupled Flow and Geomechanics: Ideas from Structural Mechanics
- Mike King, Harold Vance Department of Petroleum Engineering
- Optimizing Gas Injection EOR in Unconventional Reservoirs Using the Fast Marching Method
- Pallavi Kumari, Artie McFerrin Department of Chemical Engineering
- Risk Analysis of Rare Events Through Bi-Directionality in Fault and Event Trees
- Joseph Kwon, Artie McFerrin Department of Chemical Engineering
- An Operator Theoretic Framework for Data-Driven Identification and Control of a Hydraulic Fracturing Process
- Arash Noshadravan, Zachry Department of Civil Engineering
- Model Reduction and Decision Making Under Uncertainty for Optimal Management of Infrastructures
- Zachary Prince, Department of Nuclear Engineering
- Parametric Uncertainty Quantification Using Proper Generalized Decomposition Applied to Neutron Diffusion
- Shahin Shahrampour, Department of Industrial & Systems Engineering
- Data-dependent Kernel Approximation for Better Generalization
- Rui Tuo, Department of Industrial & Systems Engineering
- Uncertainty Quantification with Gaussian Processes: Uniform Error Bounds and Convergence Properties
All workshop presentations will take place in Joe C. Richardson Petroleum Engineering Building (RICH) 910. Please note that the schedule is tentative and subject to change. All times listed are local time.
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- Welcome
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- Patrick Behne, Department of Nuclear Engineering
- Model Order Reduction for
Radiation Transport - –
- Akhil Arora, Artie McFerrin Department of Chemical Engineering
- Reduced Order Model-Based Process Synthesis, Optimization, and Intensification
- –
- Ulisses Braga-Neto, Department of Electrical & Computer Engineering
- Partially-Observed Boolean Dynamical Systems
- –
- Break
- –
- Eduardo Gildin, Harold Vance Department of Petroleum Engineering
- Model Reduction of Coupled Flow and Geomechanics: Ideas from Structural Mechanics
- –
- Zachary Prince, Department of Nuclear Engineering
- Parametric Uncertainty Quantification Using Proper Generalized Decomposition Applied to Neutron Diffusion
- –
- Shahin Shahrampour, Department of Industrial & Systems Engineering
- Data-dependent Kernel Approximation for Better Generalization
- –
- Lunch
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- Mike King, Harold Vance Department of Petroleum Engineering
- Optimizing Gas Injection EOR in Unconventional Reservoirs Using the Fast Marching Method
- –
- Arash Noshadravan, Zachry Department of Civil Engineering
- Model Reduction and Decision Making Under Uncertainty for Optimal Management of Infrastructures
- –
- Suman Chakravorty, Department of Aerospace Engineering
- Randomized Model Reduction for Large Scale Systems
- –
- Pallavi Kumari, Artie McFerrin Department of Chemical Engineering
- Risk Analysis of Rare Events Through Bi-Directionality in Fault and Event Trees
- –
- Break
- –
- Joseph Kwon, Artie McFerrin Department of Chemical Engineering
- An Operator Theoretic Framework for Data-Driven Identification and Control of a Hydraulic Fracturing Process
- –
- Anirban Bhattacharya, Department of Statistics
- Reexamining the Proton-Radius Problem Using Constrained Gaussian Processes
- –
- Rui Tuo, Department of Industrial & Systems Engineering
- Uncertainty Quantification with Gaussian Processes: Uniform Error Bounds and Convergence Properties
- –
- Yalchin Efendiev, Department of Mathematics
- Upscaling of Multi-Phase Flow and Transport Using Non-Local Multi-Continuum Approach
- –
- Closing Remarks.
Contact Information
If you have any questions concerning this workshop, email Brad Shumbera at shumbera@tamu.edu.