Data-Driven Model Reduction, Scientific Frontiers, and Applications (2023)

November 10, 2023
Texas A&M University
College Station, TX
Joe C. Richardson Petroleum Engineering Building (RICH) 910

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.

We will provide and update information for this workshop online at http://isc.tamu.edu/events/Fall2023/.

Registration

There is no registration required to participate in this workshop. Participants may come and go as they please.

Organizing Committee

Yalchin Efendiev, Institute for Scientific Computation & Department of Mathematics
Eduardo Gildin, Harold Vance Department of Petroleum Engineering
Joseph Kwon, Artie McFerrin Department of Chemical Engineering
Jean Ragusa, Institute for Scientific Computation & Department of Nuclear Engineering

Speakers

Suman Chakravorty, Department of Aerospace Engineering: A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations
Paul Cizmas, Department of Aerospace Engineering: A POD-Based Reduced-Order Model for Turbomachinery Flows
Yalchin Efendiev, Department of Mathematics: Multicontinuum Homogenization as a Model Reduction Technique
Yusuf Falola, Harold Vance Department of Petroleum Engineering: Neural Operator-Based Rapid Forecast of CO₂ Pressure and Saturation Distribution During Geological Carbon Storage
Eduardo Gildin, Harold Vance Department of Petroleum Engineering: Model Reduction for Reservoir Simulation at the Crossroads: Is it Feasible to Construct an Input-Output Invariant Proxy Model?
David Gutman, Wm Michael Barnes '64 Department of Industrial & Systems Engineering: Tangent Subspace Descent on Quotient Manifolds
Joseph Kwon, Artie McFerrin Department of Chemical Engineering: Transformer-based Hybrid Modeling and Control of Evolving, Nonlinear Processes
Jaesung Lee, Wm Michael Barnes '64 Department of Industrial & Systems Engineering: Statistical Modeling of Random Shifting and Shapes in Functional Data and Uncertainty Quantification via Landmark-Embedded Hierarchical Gaussian Processes
Matthias Maier, Department of Mathematics: Homogenization of Layered Heterostructures
Arash Noshadravan, Zachry Department of Civil & Environmental Engineering: Model Reduction for Simplifying Thermal Efficiency Planning at City Scale
Jean Ragusa, Department of Nuclear Engineering: Model-Order Reduction for Neutron Transport in the Atmosphere
Rui Tuo, Wm Michael Barnes '64 Department of Industrial & Systems Engineering: Scalable Algorithms for Gaussian Process Regression via Kernel Packets
Rami Younis, Harold Vance Department of Petroleum Engineering: Two Cases of Leveraging Solution Character to Expedite Computation

Schedule

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.

Friday, November 10, 2023

8:25–8:30 a.m.: Welcome
8:30–8:55 a.m.: Yalchin Efendiev, Department of Mathematics; Multicontinuum Homogenization as a Model Reduction Technique
8:55–9:20 a.m.: Jaesung Lee, Wm Michael Barnes '64 Department of Industrial & Systems Engineering; Statistical Modeling of Random Shifting and Shapes in Functional Data and Uncertainty Quantification via Landmark-Embedded Hierarchical Gaussian Processes
9:20–9:45 a.m.: Yusuf Falola, Harold Vance Department of Petroleum Engineering; Neural Operator-Based Rapid Forecast of CO₂ Pressure and Saturation Distribution During Geological Carbon Storage
9:45–10 a.m.: Break
10–10:25 a.m.: David Gutman, Wm Michael Barnes '64 Department of Industrial & Systems Engineering; Tangent Subspace Descent on Quotient Manifolds
10:25–10:50 a.m.: Joseph Kwon, Artie McFerrin Department of Chemical Engineering; Transformer-based Hybrid Modeling and Control of Evolving, Nonlinear Processes
10:50–11:15 a.m.: Arash Noshadravan, Zachry Department of Civil & Environmental Engineering; Model Reduction for Simplifying Thermal Efficiency Planning at City Scale
11:15–11:40 a.m.: Matthias Maier, Department of Mathematics; Homogenization of Layered Heterostructures
11:40 a.m.–12:40 p.m.: Lunch
12:40–1:05 p.m.: Suman Chakravorty, Department of Aerospace Engineering; A Reduced Order Iterative Linear Quadratic Regulator (ILQR) Technique for the Optimal Control of Nonlinear Partial Differential Equations
1:05–1:30 p.m.: Eduardo Gildin, Harold Vance Department of Petroleum Engineering; Model Reduction for Reservoir Simulation at the Crossroads: Is it Feasible to Construct an Input-Output Invariant Proxy Model?
1:30–1:55 p.m.: Rui Tuo, Wm Michael Barnes '64 Department of Industrial & Systems Engineering; Scalable Algorithms for Gaussian Process Regression via Kernel Packets
1:55–2:10 p.m.: Break
2:10–2:35 p.m.: Paul Cizmas, Department of Aerospace Engineering; A POD-Based Reduced-Order Model for Turbomachinery Flows
2:35–3 p.m.: Rami Younis, Harold Vance Department of Petroleum Engineering; Two Cases of Leveraging Solution Character to Expedite Computation
3–3:25 p.m.: Jean Ragusa, Department of Nuclear Engineering; Model-Order Reduction for Neutron Transport in the Atmosphere
3:25–3:30 p.m.: Closing Remarks

Contact Information

If you have any questions concerning this workshop, email Brad Shumbera at shumbera@tamu.edu.

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