Drew Philip Kouri

Optimization & Uncertainty Quantification

Author profile picture

Optimization & Uncertainty Quantification

dpkouri@sandia.gov

(505) 845-8127

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1320

Biography

Drew’s research interests include: PDE-constrained optimization, algorithms for solving risk-averse and robust PDE-constrained optimization problems, adaptive sampling and quadrature methods for risk-averse optimization, general frameworks to handle inexactness and model adaptivity in optimization. Drew is also a lead developer of the Rapid Optimization Library (ROL) which is a software package for matrix-free, derivative-based optimization.

Education

Drew earned his B.S. and M.S. degrees in Mathematics from Case Western Reserve University in 2008, including a minor in Spanish. In 2010, he earned his M.A. in Computational and Applied Mathematics from Rice University. Under the supervision of M. Heinkenschloss, he earned his Ph.D. in Computational and Applied Mathematics from Rice University in 2012 with dissertation "An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients." After obtaining his Ph.D., Drew served as the J.H. Wilkinson Fellow at Argonne National Laboratory before joining Sandia National Laboratories in 2013.

Publications

Drew Philip Kouri, Denis Ridzal, Gregory John von Winckel, Aurya Javeed, (2022). Get ROL-ing: An Introduction to Sandia’s Rapid Optimization Library International Conference on Continuous Optimization Document ID: 1584955

Drew Philip Kouri, (2022). An inexact trust-region algorithm for nonsmooth nonconvex optimization International Conference on Continuous Optimization Document ID: 1574785

Denis Ridzal, Drew Philip Kouri, David Robinson, Maher Salloum, (2022). Uniform flow in axisymmetric devices through permeability optimization 7th International Conference on Continuous Optimization Document ID: 1584916

Drew Philip Kouri, (2022). An inexact trust-region algorithm for nonsmooth nonconvex optimization Regularization and Augmented Lagrangian techniques for large-scale optimization Document ID: 1540767

Aurya Javeed, Drew Philip Kouri, Denis Ridzal, Gregory John von Winckel, (2022). Get ROL-ing International Conference on Continuous Optimization Document ID: 1539688

Rebekah Dale White, Bart G van Bloemen Waanders, Drew Philip Kouri, John Davis Jakeman, Alen Alexanderian, (2022). Bayesian risk-averse optimal experimental design with feedback UT Austin working group Document ID: 1539077

Drew Philip Kouri, (2022). An Augmented Lagrangian Approach for Risk-Averse PDE-Constrained Optimization with State Constraints SIAM Conference on Uncertainty Quantification Document ID: 1504793

David Robinson, Declan Thomas Mahaffey-Dowd, Carly Sin Yiu Hui, Bernice E. Mills, Maher Salloum, Denis Ridzal, Drew Philip Kouri, John Carter Miers, (2022). Additive manufacturing of porous lattices with spatially optimized permeability Material Science Research Foundation External Review Board meeting Document ID: 1504698

Rebekah Dale White, Bart G van Bloemen Waanders, John Davis Jakeman, Alexanderian Alen, Drew Philip Kouri, (2022). Exploring risk-averse design criteria for sequential optimal experimental design in a Bayesian setting Siam Uq Document ID: 1504627

Declan Thomas Mahaffey-Dowd, Carly Sin Yiu Hui, Bernice E. Mills, Maher Salloum, Denis Ridzal, Drew Philip Kouri, John Carter Miers, David Robinson, (2022). Additive Manufacturing of Porous Material Lattices with Spatially Optimized Permeability American Chemical Society Spring 2022 Document ID: 1482539

Drew Philip Kouri, (2022). Randomized Sketching for Low-Memory Dynamic Optimization SIAM Conference on Parallel Processing for Scientific Computing Document ID: 1459824

John Davis Jakeman, Drew Philip Kouri, Jose Gabriel Huerta, (2022). Surrogate Modeling For Efficiently, Accurately and Conservatively Estimating Measures of Risk Reliability Engineering & System Safety https://www.osti.gov/search/identifier:1845389 Document ID: 1437752

Sean Hardesty, Harbir Antil, Drew Philip Kouri, Denis Ridzal, (2022). The Strip Method for Shape Derivatives International Journal for Numerical Methods in Engineering https://www.osti.gov/search/identifier:1841999 Document ID: 1405360

Drew Philip Kouri, Harbir Antil, Johannes Pfefferer, (2021). Risk-Averse Control of Fractional Diffusion with Uncertain Exponent SIAM Journal on Uncertainty Quantification https://www.osti.gov/search/identifier:1827610 Document ID: 1369208

Declan Thomas Mahaffey-Dowd, Carly Sin Yiu Hui, Bernice E. Mills, Maher Salloum, Denis Ridzal, Drew Philip Kouri, David B. Robinson, (2021). Additive manufacturing of porous material lattices with spatially optimized permeability ACS Spring 2022 Conference Document ID: 1369003

John Davis Jakeman, Drew Philip Kouri, Jose Gabriel Huerta, (2021). Surrogate Modeling For Efficiently, Accurately and Conservatively Estimating Measures of Risk Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Document ID: 1367943

Rebekah Dale White, John Davis Jakeman, Bart G van Bloemen Waanders, Drew Philip Kouri, Alex Alexanderian, (2021). Exploring risk-averse design criteria for sequential optimal experimental design in a Bayesian setting Mechanistic Machine Learning and Digital Twins for Compuational Science, Engineering & Technology Document ID: 1367990

Drew Philip Kouri, John Davis Jakeman, Jose Gabriel Huerta, Timothy Walsh, Chandler Baldwin Smith, Stan Uryasev, (2021). Risk-Adaptive Experimental Design for High-Consequence Systems: LDRD Final Report https://www.osti.gov/search/identifier:1820307 Document ID: 1356826

Drew Philip Kouri, (2021). PDE-Constrained Optimization under Uncertainty DFG-SPP 1962 Summer School on Optimization under Uncertainty Document ID: 1356368

Chandler Baldwin Smith, Drew Philip Kouri, Timothy Walsh, (2021). Risk Averse Optimal Experiment Design using R-Optimality for Vibration Control Inverse Problems 16th U.S. National Congress on Computational Mechanics Document ID: 1342779

Drew Philip Kouri, (2021). An Inexact Trust-Region Newton Method for Large-Scale Convex-Constrained Optimization SIAM Conference on Optimization https://www.osti.gov/search/identifier:1878281 Document ID: 1331722

Sean Hardesty, Harbir Antil, Drew Philip Kouri, Denis Ridzal, (2021). The Strip Method for Shape Derivatives SIAM Conference on Optimization (OP21) https://www.osti.gov/search/identifier:1876615 Document ID: 1331238

Sean Hardesty, Harbir Antil, Drew Philip Kouri, Denis Ridzal, (2021). The Strip Method for Shape Derivatives SIAM Conference on Control and Its Applications (CT21) https://www.osti.gov/search/identifier:1876593 Document ID: 1329890

John Davis Jakeman, Drew Philip Kouri, Jose Gabriel Huerta, (2021). Surrogate Modeling For Efficiently, Accurately and Conservatively Estimating Measures of Risk https://www.osti.gov/search/identifier:1807455 Document ID: 1318256

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, (2021). Fluid flow control devices with 3D-graded permeability Interpore 2021 https://www.osti.gov/search/identifier:1867123 Document ID: 1305860

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, (2021). Design of chromatography columns with 3D-graded permeability American Chemical Society Spring 2021 Meeting https://www.osti.gov/search/identifier:1861979 Document ID: 1292851

John Davis Jakeman, Drew Philip Kouri, Jose Gabriel Huerta, (2021). Risk-Adapted Surrogate Modeling Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Document ID: 1292834

Drew Philip Kouri, Thomas M. Surowiec, (2021). A Primal-Dual Algorithm for Large-Scale Risk Minimization Oberwolfach Workshop on Uncertainty Quantification Document ID: 1281807

Drew Philip Kouri, (2021). Risk-Adapted Design of Experiments for High-Consequence Applications CIS External Review Board https://www.osti.gov/search/identifier:1856305 Document ID: 1281791

Cynthia Ann Phillips, Michelle Althea Chatter, Jonathan Eckstein, Alper Erturk, Ihab Fathy El-Kady, Romain Gerbe, Drew Philip Kouri, William Loughlin, Charles M. Reinke, Rohith Rokkam, Massimo Ruzzene, Chris Sugino, Calvin Swanson, Bart G van Bloemen Waanders, (2021). Parallel Solver Framework for Mixed-Integer PDE-Constrained Optimization https://www.osti.gov/search/identifier:1771009 Document ID: 1268795

Chandler Baldwin Smith, Timothy Walsh, Drew Philip Kouri, (2021). Risk Adverse Optimal Experiment Design using R-Optimality for Vibration Control Inverse Problems 16th U.S. National Congress on Computational Mechanics Document ID: 1268052

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, (2021). Fluid flow control devices with 3D-graded permeability Interpore2021 Document ID: 1268039

Drew Philip Kouri, Thomas Michael Surowiec, (2021). A Primal-Dual Algorithm for Risk Minimization Mathematical Programming Series A https://www.osti.gov/search/identifier:1765742 Document ID: 1266726

David Robinson, Maher Salloum, Drew Philip Kouri, Denis Ridzal, (2021). Design of chromatography columns with 3D-graded permeability American Chemical Society Spring 2021 virtual meeting Document ID: 1255874

Drew Philip Kouri, (2020). Design of Experiments for Superquantile Regression Uncertainty Management and Machine Learning in Engineering Applications https://www.osti.gov/search/identifier:1877540 Document ID: 1232029

Mohamed Salah Ebeida, Ahmed Abdelkader, Nina Amenta, Drew Philip Kouri, Ojas D. Parekh, Cynthia Ann Phillips, Nickolas Winovich, (2020). Novel Geometric Operations for Linear Programming https://www.osti.gov/search/identifier:1813669 Document ID: 1231762

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, David J. Saiz, Bradley Howell Jared, (2020). Fluid flow control devices with 3D-graded permeability 2020 virtual annual meeting of the American Institute of Chemical Engineers https://www.osti.gov/search/identifier:1831022 Document ID: 1231186

Denis Ridzal, Drew Philip Kouri, (2020). An Augmented Lagrangian Equality-constrained SQP (ALESQP) Method for Function-space Optimization with General Constraints 3rd Annual Meeting of the SIAM TX/LA Section https://www.osti.gov/search/identifier:1877850 Document ID: 1219849

Drew Philip Kouri, (2020). Randomized Sketching for Low-Memory Dynamic Optimization Center for Mathematics and Artificial Intelligence Colloquium https://www.osti.gov/search/identifier:1824742 Document ID: 1208027

Sean Hardesty, Drew Philip Kouri, Payton Lindsay, Denis Ridzal, Brian Lynn Stevens, Ryan Viertel, (2020). Shape Optimization for Control and Isolation of Structural Vibrations in Aerospace and Defense Applications https://www.osti.gov/search/identifier:1669731 Document ID: 1207363

Drew Philip Kouri, Denis Ridzal, Raymond S. Tuminaro, (2020). KKT Preconditioners for PDE-Constrained Optimization with the Helmholtz Equation SIAM Journal on Scientific Computing (SISC) https://www.osti.gov/search/identifier:1784959 Document ID: 1161314

David Robinson, Maher Salloum, Denis Ridzal, Drew Philip Kouri, David J. Saiz, Bradley Howell Jared, (2020). Fluid flow control devices with 3D-graded permeability 2020 American Institute of Chemical Engineers (AIChE) Annual Meeting Document ID: 1115366

Maher Salloum, David Robinson, Denis Ridzal, Drew Philip Kouri, David J. Saiz, Bradley Howell Jared, (2020). Fluid Flow Control Devices with Graded Permeability 5th Cross-Joint (JOWOG) Meeting https://www.osti.gov/search/identifier:1761291 Document ID: 1079624

Drew Philip Kouri, Ramchandran Muthukumar, Madeleine Udell, (2019). Randomized Sketching Algorithms for Low Memory Dynamic Optimization arXiv https://www.osti.gov/search/identifier:1784618 Document ID: 1055932

Drew Philip Kouri, Thomas Suroweic, (2019). Risk-Averse Optimal Control of Semilinear Elliptic PDEs ESAIM:Control, Optimisation and the Calculus of Variations https://www.osti.gov/search/identifier:1574448 Document ID: 1032485

Drew Philip Kouri, (2019). A Primal-Dual Algorithm for Large-Scale Risk Minimization International Conference on Stochastic Programming https://www.osti.gov/search/identifier:1641369 Document ID: 986253

Drew Philip Kouri, Thomas M. Surowiec, (2019). Epi-Regularization of Risk Measures for PDE-Constrained Optimization Mathematics of Operations Research https://www.osti.gov/search/identifier:1559486 Document ID: 949642

Drew Philip Kouri, (2019). A Primal-Dual Algorithm for Large-Scale Risk Minimization Naval Postgraduate Shool Operations Research Seminar https://www.osti.gov/search/identifier:1644626 Document ID: 937567

Drew Philip Kouri, Thomas M. Surowiec, (2019). A Primal-Dual Algorithm for Large-Scale Risk Minimization Oberwolfach Workshop on Uncertainty Quantification Document ID: 947702

Drew Philip Kouri, (2019). A Primal-Dual Algorithm for Large-Scale Risk Minimization Oberwolfach Meeting on Uncertainty Quantification https://www.osti.gov/search/identifier:1644474 Document ID: 936175

Drew Philip Kouri, (2019). A Primal-Dual Algorithm for Large-Scale Risk Minimization SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1602395 Document ID: 935387

Drew Philip Kouri, (2019). Higher-Moment Buffered Probability Optimization Letters https://www.osti.gov/search/identifier:1497635 Document ID: 900842

Drew Philip Kouri, (2018). A Primal-Dual Algorithm for Large-Scale Risk Minimization Cornell University Center for Applied Mathematics Colloquium https://www.osti.gov/search/identifier:1574585 Document ID: 889395

Matthew Zahr, Kevin Thomas Carlberg, Drew Philip Kouri, (2018). An Efficient, Globally Convergent Method For Optimization Under Uncertainty Using Adaptive Model Reduction And Sparse Grids arXiv https://www.osti.gov/search/identifier:1559547 Document ID: 888782

Drew Philip Kouri, Wilkins Aquino, Zilong (Duke) Zou, (2018). An Adaptive Local Reduced Basis Method for Solving PDEs with Uncertain Inputs and Evaluating Risk Computer Methods in Applied Mechanics and Engineering https://www.osti.gov/search/identifier:1485450 Document ID: 888366

Drew Philip Kouri, (2018). A Primal-Dual Algorithm for Large-Scale Risk Minimization Risk Management for Engineering Applications https://www.osti.gov/search/identifier:1567826 Document ID: 875792

Drew Philip Kouri, Thomas Surowiec, (2018). Perspectives on PDE-Constrained Optimization under Uncertainty Oberwolfach Workshop on New Directions in Stochastic Optimisation Document ID: 855099

Drew Philip Kouri, (2018). Smoothing Techniques for Risk-Averse PDE-Constrained Optimization 23rd International Symposium on Mathematical Programming https://www.osti.gov/search/identifier:1531096 Document ID: 819789

Drew Philip Kouri, (2018). Spectral Risk Measures: The Risk Quadrangle and Optimal Approximation Mathematical Programming Series B https://www.osti.gov/search/identifier:1441457 Document ID: 771939

Drew Philip Kouri, Thomas Surowiec, (2018). Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization SIAM/ASA Journal on Uncertainty Quantification https://www.osti.gov/search/identifier:1441483 Document ID: 783344

Drew Philip Kouri, (2018). Smoothing Techniques for Risk-Averse PDE-Constrained Optimization UC Berkeley/LBL Applied Math Seminar Document ID: 795907

Denis Ridzal, Drew Philip Kouri, (2018). Scalable Algorithms and Software for PDE-Constrained Optimization Under Uncertainty SIAM Conference on Uncertainty Quantification 2018 https://www.osti.gov/search/identifier:1508919 Document ID: 784969

Drew Philip Kouri, (2018). Optimization and Control Under Uncertainty SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1806978 Document ID: 784489

Drew Philip Kouri, (2018). Optimal Approximation of Spectral Risk Measures with Application to PDE-Constrained Optimization SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1806977 Document ID: 784264

Drew Philip Kouri, Wilkins Aquino, Zilong (Duke) Zou, (2018). A Locally Adapted Reduced Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems 15th Copper Mountain Conference on Iterative Methods https://www.osti.gov/search/identifier:1504322 Document ID: 773203

Drew Philip Kouri, Denis Ridzal, (2018). Inexact Trust-Region Methods for PDE-Constrained Optimization Frontiers in PDE-constrained Optimization https://www.osti.gov/search/identifier:1434233 Document ID: 626052

Drew Philip Kouri, Madeleine Udell, (2018). Sketching Methods for High-Resolution PDE-constrained Optimization SciML2018DOE ASCR Workshop on Scientific Machine Learning Document ID: 738661

Drew Philip Kouri, Alexander Shapiro, (2018). Optimization of PDEs with Uncertain Inputs The IMA Volumes in Mathematics and its Applications https://www.osti.gov/search/identifier:1432917 Document ID: 738160

Eric Christopher Cyr, Gregory John von Winckel, Drew Philip Kouri, Thomas Anthony Gardiner, Denis Ridzal, John N. Shadid, Sean Miller, (2017). LDRD Report: Topological Design Optimization of Convolutes in Next Generation Pulsed Power Devices https://www.osti.gov/search/identifier:1413648 Document ID: 703405

Drew Philip Kouri, (2017). Risk-Averse Optimization of Large-Scale Multiphysics Systems AIAA SciTech Forum https://www.osti.gov/search/identifier:1487004 Document ID: 727582

Drew Philip Kouri, Wilkins Aquino, Zilong Zou, (2017). A Locally Adapted Reduced Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems AIAA SciTech Forum https://www.osti.gov/search/identifier:1573887 Document ID: 727276

Drew Philip Kouri, Paul G. Constantine, Jeffrey M. Hokanson, (2017). Ridge approximation and dimension reduction for an acoustic scattering model 2018 International Applied Computational Electromagnetics Society (ACES) Symposium https://www.osti.gov/search/identifier:1484573 Document ID: 726397

Drew Philip Kouri, Thomas Michael Surowiec, (2017). PDE-constrained Optimization under Uncertainty SIAG/OPT Views and News https://www.osti.gov/search/identifier:1429698 Document ID: 726336

Drew Philip Kouri, (2017). A Measure Approximation For Distributionally Robust Pde-constrained Optimization Problems SIAM Journal on Numerical Analysis https://www.osti.gov/search/identifier:1429682 Document ID: 692764

Denis Ridzal, Drew Philip Kouri, Gregory John von Winckel, (2017). Rapid Optimization Library Trilinos User-Developer Group Meeting https://www.osti.gov/search/identifier:1481491 Document ID: 724926

Eric Christopher Cyr, Gregory John von Winckel, Thomas Anthony Gardiner, Drew Philip Kouri, Sean Miller, John N. Shadid, (2017). Methods for Topological Design of Conducting Networks Coupled Problems https://www.osti.gov/search/identifier:1464677 Document ID: 625707

Drew Philip Kouri, (2017). Software for Large-Scale PDE-Constrained Optimization under Uncertainty Center for Computing Research Summer Seminar Series https://www.osti.gov/search/identifier:1459329 Document ID: 626676

Drew Philip Kouri, (2017). PDE-Constrained Optimization using Epi-Regularized Risk Measures SIAM Conference on Optimization https://www.osti.gov/search/identifier:1458038 Document ID: 624874

Drew Philip Kouri, (2017). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty Optimization Under Uncertainty and Data-Driven Science and Engineering https://www.osti.gov/search/identifier:1458173 Document ID: 612229

Drew Philip Kouri, Denis Ridzal, Gregory John von Winckel, (2017). The Rapid Optimization Library: Software for large-scale optimization Optimization Under Uncertainty and Data-Driven Science and Engineering https://www.osti.gov/search/identifier:1456449 Document ID: 612192

Eric Christopher Cyr, Gregory John von Winckel, Thomas Anthony Gardiner, Drew Philip Kouri, Denis Ridzal, Sean Miller, John N. Shadid, (2017). Topology Optimization: Challenges, Algorithms and Applications Mathematics Colloquium and the Applied Mathematics Seminar https://www.osti.gov/search/identifier:1429279 Document ID: 610893

Drew Philip Kouri, (2017). An Adaptive Sampling Approach for Solving PDEs with Uncertain Inputs and Evaluating Risk SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1424855 Document ID: 589216

Eric Christopher Cyr, Gregory John von Winckel, Thomas Anthony Gardiner, Drew Philip Kouri, Sean Miller, John N. Shadid, (2017). Topology optimization for design of coaxial cables SIAM conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1425291 Document ID: 589165

Mauro Perego, Eric T. Phipps, Andrew G. Salinger, Denis Ridzal, Drew Philip Kouri, Georg (Courant) Stadler, Stephen (LANL) Price, (2017). Solving PDE constrained Optimization Problems in Albany Albany Users Meeting Document ID: 577351

Drew Philip Kouri, Zilong (Duke) Zou, Wilkins Aquino, (2017). An Adaptive Sampling Approach for Solving PDEs with Uncertain Inputs and Evaluating Risk AIAA SciTech https://www.osti.gov/search/identifier:1524692 Document ID: 566803

Drew Philip Kouri, Wilkins Aquino, Zilong Zou, (2016). An Adaptive Sampling Approach for Solving PDEs with Uncertain Inputs and Evaluating Risk AIAA SciTech https://www.osti.gov/search/identifier:1524691 Document ID: 565368

Drew Philip Kouri, (2016). Optimal Approximation of Spectral Risk Measures with Application to PDE-Constrained Optimization Risk Management Approaches in Engineering Applications https://www.osti.gov/search/identifier:1410220 Document ID: 554681

Drew Philip Kouri, (2016). Data-Driven Optimization for the Design and Control of Large-Scale Systems: LDRD Final Report https://www.osti.gov/search/identifier:1562640 Document ID: 530041

Drew Philip Kouri, (2016). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty The 5th International Conference on Continuous Optimization https://www.osti.gov/search/identifier:1420896 Document ID: 507500

Drew Philip Kouri, (2016). Tutorial on Optimization of PDEs with Uncertain Inputs Frontiers in PDE-Constrained Optimization https://www.osti.gov/search/identifier:1530045 Document ID: 464387

Drew Philip Kouri, (2016). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty West Coast Optimization Meeting https://www.osti.gov/search/identifier:1367069 Document ID: 442888

Drew Philip Kouri, (2016). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty Mathematics Institute of Computational Science and Engineering Seminar, EPFL https://www.osti.gov/search/identifier:1365074 Document ID: 430910

Denis Ridzal, Drew Philip Kouri, (2016). A Full-Space Approach to Stochastic Optimization with Simulation Constraints SIAM Conference on UQ https://www.osti.gov/search/identifier:1581536 Document ID: 431085

Drew Philip Kouri, (2016). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty SIAM Conference on Uncertainty Quantification https://www.osti.gov/search/identifier:1366684 Document ID: 430806

Gregory John von Winckel, Eric Christopher Cyr, Drew Philip Kouri, Denis Ridzal, Thomas Anthony Gardiner, John N. Shadid, (2016). Reduced and Full Space Methods in Topology Optimization: Applications in Linear Elasticity and Electrical Conduction Fourteenth Copper Mountain Conference On Iterative Methods https://www.osti.gov/search/identifier:1364862 Document ID: 430217

Timothy Michael Wildey, Eric Christopher Cyr, John N. Shadid, Bart G van Bloemen Waanders, Drew Philip Kouri, Joseph E. Bishop, Simon Tavener, Troy Butler, Serge Prudhomme, Clint Dawson, (2016). Utilizing Adjoint-Based Techniques to Improve the Accuracy and Reliability in Uncertainty Quantification Research Collaboration WorkshopOptimization and Uncertainty Quantification in Energy and Industrial Applications https://www.osti.gov/search/identifier:1345103 Document ID: 408643

Drew Philip Kouri, (2015). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty Joint Mathematics Meeting https://www.osti.gov/search/identifier:1337896 Document ID: 376159

Timothy Walsh, Wilkins Aquino, Denis Ridzal, Drew Philip Kouri, (2015). Inversion for Eigenvalues and Modes Using Sierra-SD and ROL https://www.osti.gov/search/identifier:1233625 Document ID: 343020

Drew Philip Kouri, Wilkins Aquino, Denis Ridzal, Ralph T. Rockafellar, Alexander Shapiro, Stan Uryasev, (2015). Risk-Averse Optimization of Large-Scale Multiphysics Systems DARPA EQUiPS Kick-Off Meeting https://www.osti.gov/search/identifier:1333463 Document ID: 354824

Drew Philip Kouri, (2015). A Data-Driven Approach to PDE-Constrained Optimization under Uncertainty Applied and Computational Mathematics Seminar at George Mason University https://www.osti.gov/search/identifier:1514225 Document ID: 343258

Drew Philip Kouri, (2015). Theory and Algorithms for PDE-Constrained Optimization under Uncertainty 13th US National Congress on Computational Mechanics https://www.osti.gov/search/identifier:1339332 Document ID: 318747

Drew Philip Kouri, (2015). Risk-averse Optimization with PDE Constraints 22nd International Symposium on Mathematical Programming https://www.osti.gov/search/identifier:1262637 Document ID: 307999

Bart G van Bloemen Waanders, Drew Philip Kouri, Denis Ridzal, Stan Uryasef (UF), (2015). Optimization Under Uncertainty for Magnetic Confinement Fusion DOE Workshop on Integrated Simulations for Magnetic Fusion Energy Sciences https://www.osti.gov/search/identifier:1250731 Document ID: 264644

Drew Philip Kouri, (2015). A Data-Driven Approach to PDE-Constrained Optimization Under Uncertainty SIAM Conference on Computational Science and Engineering https://www.osti.gov/search/identifier:1245924 Document ID: 232683

Denis Ridzal, Drew Philip Kouri, Bart G van Bloemen Waanders, (2015). Integration of Approximate Schur Preconditioners and SQP Algorithms for Nonlinear PDE Optimization under Uncertainty SIAM Conference on Computational Science and Engineering Document ID: 232804

Timothy Walsh, Denis Ridzal, Drew Philip Kouri, Bart G van Bloemen Waanders, Wilkins Aquino, (2015). An Operator-Based Framework for Inverse Problems Usncm13 Document ID: 221501

Drew Philip Kouri, (2015). Theory and Algorithms for PDE-Constrained Optimization under Uncertainty Duke University Civil and Environmental Engineering Seminar https://www.osti.gov/search/identifier:1504176 Document ID: 220468

Drew Philip Kouri, (2014). Risk-Averse PDE-Constrained Optimization using the Conditional Value-At-Risk Risk Management Approaches in Engineering Applications https://www.osti.gov/search/identifier:1367723 Document ID: 208223

Denis Ridzal, Drew Philip Kouri, (2014). Rapid Optimization Library Trilinos User Group Meeting https://www.osti.gov/search/identifier:1367652 Document ID: 207788

Timothy Walsh, Wilkins Aquino, Denis Ridzal, Drew Philip Kouri, Bart G van Bloemen Waanders, Angel Urbina, (2014). Viscoelastic Material Inversion using Sierra-SD and ROL https://www.osti.gov/search/identifier:1322276 Document ID: 207871

Mauro Perego, Andrew G. Salinger, Eric T. Phipps, Denis Ridzal, Drew Philip Kouri, Irina Kalashnikova Tezaur, S. Price, G. Stadler, (2014). Adjoint-based Deterministic Inversion for Ice Sheets Trillinos User Group Meeting 2014 https://www.osti.gov/search/identifier:1242148 Document ID: 207979

Timothy Walsh, Wilkins Aquino, Denis Ridzal, Drew Philip Kouri, Bart G van Bloemen Waanders, (2014). A massively parallel framework for source and material inverse problems in structural acoustics ICES seminar https://www.osti.gov/search/identifier:1502315 Document ID: 144477

Timothy Walsh, Wilkins Aquino, Denis Ridzal, Drew Philip Kouri, Bart G van Bloemen Waanders, (2014). A massively parallel framework for source and material inverse problems in structural acoustics ICES seminar Document ID: 144213

Drew Philip Kouri, (2014). Controlling Uncertainty in PDE-Constrained Optimization 11th World Congress on Computational Mechanics https://www.osti.gov/search/identifier:1496680 Document ID: 112577

Rudy J. Garcia, Drew Philip Kouri, Bart G van Bloemen Waanders, Miguel Alejandro Aguilo Valentin, Michael Ross, Ryan Schultz, Angel Urbina, Wilkins Aquino, (2014). Inverse Source and Material Identification in Sierra-SD Lincoln Labs visit to Sandia https://www.osti.gov/search/identifier:1140941 Document ID: 5333545

Rudy J. Garcia, Drew Philip Kouri, Bart G van Bloemen Waanders, Matthias Heinkenschloss, (2013). Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty SIAM Journal on Scientific Computing https://www.osti.gov/search/identifier:1126754 Document ID: 5331462

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Awards & Recognition

2020

Drew Philip Kouri, Best Paper of 2019, Optimization Letters, November 25, 2020