Conference Presentations and Posters (since 2012)

2019

“Physics-informed Recurrent Neural Network Surrogates for E3SM Land Model,” American Geophysical Union Fall Meeting, San Francisco, CA, Dec 2019.
“Uncertainty Quantification for E3SM Land Component using Low-Rank Surrogate Models,” American Geophysical Union Fall Meeting, San Francisco, CA, Dec 2019.
“Calibration and Propagation of Model Structural Error for E3SM Land Model,” American Geophysical Union Fall Meeting, San Francisco, CA, Dec 2019.
“Machine Learning Approaches for Surrogate Modeling,” E3SM All-Hands Meeting, Washington, DC, Nov 2019.
“Uncertainty Quantification and Machine Learning Algorithms for Physical Models: Tackling Computational Expense and High-Dimensionality,” Scientific Computing and Data Science Seminar, University of California, Merced, CA, Oct 2019.
“Uncertainty Quantification in Computational Models of Large-Scale Physical Systems,” 15th U.S. National Congress on Computational Mechanics, Austin, TX, July 2019.
“Bayesian Estimation of Random Field Biases in Pollutant Emissions Using Multiscale Data,” 15th U.S. National Congress on Computational Mechanics, Austin, TX, July 2019.
“Physics-Informed Recurrent Neural Networks for Land Model Surrogate Construction,” Workshop on Research Challenges and Opportunities at the Interface of Machine Learning and Uncertainty Quantification, Los Angeles, CA, July 2019.
“Exploiting Spatio-Temporal Structure for Forward Propagation of Uncertainty in Large Scale Models,” International Congress on Industrial and Applied Mathematics, Vakencia, Spain, July 2019.
“Uncertainty Quantification in Large Scale Computational Models,” International Congress on Industrial and Applied Mathematics, Vakencia, Spain, July 2019.
“Surrogate-enabled sensitivity analysis and parameter inference of high-dimensional models,” International Congress on Industrial and Applied Mathematics, Vakencia, Spain, July 2019.
“Exploiting Model Structure for Forward Propagation of Uncertainty in Earth System Models,” 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Crete, Greece, June 2019.
“Modeling Computationally Intensive E3SM-ELM Components using Hierarchical Recurrent Neural Networks,” Workshop on Machine Learning in Solid Earth Geoscience, Santa Fe, NM, Mar 2019.
“Exploiting Low-rank Structure for Sensitivity Analysis in Earth System Model,” SIAM Computational Science and Engineering, Spokane, WA, Mar 2019.
“Global Sensitivity Analysis for Multilevel Scramjet Computations,” SIAM Computational Science and Engineering, Spokane, WA, Mar 2019.
“UQTk, a FASTMath C++/Python Toolkit for Uncertainty Quantification: Overview and Applications,” SIAM Computational Science and Engineering, Spokane, WA, Mar 2019.
“Workflows for Quantifying Uncertainty in Computational Model Predictions,” The Department of Electrical & Computer Engineering Speaker Series, University of Houston, Houston, TX, Feb 2019.
“Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations,” AIAA SciTech, San Diego, CA, Jan 2019.
“Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig,” AIAA SciTech, San Diego, CA, Jan 2019.

2018

“Bayesian Framework for Structural Uncertainty Estimation of Land Models,” American Geophysical Union Fall Meeting, Washington, DC, Dec 2018.
“Estimating Biases for Regional Methane Fluxes Using Spatially/Temporally Varying Random-Field Representations of Biases,” American Geophysical Union Fall Meeting, Washington, DC, Dec 2018.
“Exploiting Model Structure for Global Sensitivity Analysis in E3SM Land Model,” American Geophysical Union Fall Meeting, Washington, DC, Dec 2018.
“Designing observation networks using Earth System Models to reduce uncertainty in regional carbon fluxes,” American Geophysical Union Fall Meeting, Washington, DC, Dec 2018.
“Bayesian Estimation of Pollutant Emissions Using Multiscale Data,” Joint Statistical Meetings, Vancouver, British Columbia, Canada, July 2018.
“Adaptive Sparse Quadrature for Multifidelity Scramjet Flow Simulations,” SIAM Annual Meeting, Portland, OR, July 2018.
“Bayesian Inference for Model Error Quantification and Propagation with UQTk,” SIAM Annual Meeting, Portland, OR, July 2018.
“Bayesian Estimation of Spatio-Temporal Parameters for Atmospheric Transport Models,” International Society for Bayesian Analysis World Meeting, Edinburgh, UK, June 2018.
“Machine Learning Techniques for Global Sensitivity Analysis in Earth System Models,” 6th European Seminar on Computing, Pilsen, Czechia, June 2018.
“Sparse Multifidelity Approximations for Forward UQ with Application to Scramjet Combustor Computations,” SIAM Conference on Uncertainty Quantification, Garden Grove, CA, Apr 2018.
“Compressive Sensing with Cross-validation and Stop-sampling for Sparse Polynomial Chaos Expansions,” SIAM Conference on Uncertainty Quantification, Garden Grove, CA, Apr 2018.
“A Flexible Python/C++ Toolkit for Uncertainty Quantification,” SIAM Conference on Uncertainty Quantification, Garden Grove, CA, Apr 2018.
“Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computation,” AIAA SciTech, Kissimmee, FL, Jan 2018.

2017

“Embedded Model Error Representation and Propagation in Climate Models,” American Geophysical Union Fall Meeting, New Orleans, LA, Dec 2017.
“Machine Learning Techniques for Global Sensitivity Analysis in Climate Models,” American Geophysical Union Fall Meeting, New Orleans, LA, Dec 2017.
“Estimating Biases for Regional Methane Fluxes using Co-emitted Tracers,” American Geophysical Union Fall Meeting, New Orleans, LA, Dec 2017.
“A Bayesian Framework for the Estimation of Regional Methane Fluxes,” 14th U.S. National Congress on Computational Mechanics, Montreal, Canada, July 2017.
“A Resilient Solver for 2D Uncertain Elliptic PDEs Via Fault-Tolerant MPI Server-Client-Based Implementation,” SIAM Computational Science and Engineering, Atlanta, GA, Feb 2017.
“Partial Differential Equations Solver Resilient to Soft and Hard Faults,” SIAM Computational Science and Engineering, Atlanta, GA, Feb 2017.
“Acceleration of Monte Carlo Methods for Stochastic Elliptic PDEs Using Domain Decomposition and PC Approximations of Local Dirichlet Maps,” SIAM Computational Science and Engineering, Atlanta, GA, Feb 2017.
“Robust Compressive Sensing with Application to Multifidelity Analysis of Complex Turbulent Flows,” SIAM Computational Science and Engineering, Atlanta, GA, Feb 2017.
“Intrusive UQ Algorithms for Emerging Computing Platforms,” SIAM Computational Science and Engineering, Atlanta, GA, Feb 2017.
“Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design,” 19th AIAA Non-Deterministic Approaches Conference, Grapevine, TX, Jan 2017.

2016

“Weighted Iterative Bayesian Compressive Sensing (WIBCS) for High Dimensional Polynomial Surrogate Construction,” American Geophysical Union Fall Meeting, San Francisco, CA, Dec 2016
“Global Sensitivity Analysis for Large Eddy Simulation Models,” SIAM Annual Meeting, Boston, MA, July 2016
“A Sparse Quadrature Approach for Stochastic Optimization in Power Grid Models,” XIV International Conference on Stochastic Programming, Buzios, Brazil, June 2016
“Distributionally Robust Optimization with Principal Component Analysis,” XIV International Conference on Stochastic Programming, Buzios, Brazil, June 2016
“Bayesian Estimation of Thermal Conductivity Parameters for a Polyurethane Foam,” ASME Verification and Validation Symposium, Las Vegas, NV, May 2016
“A soft and hard faults resilient solver for 2D elliptic PDEs via server-client-based implementation,” SIAM Parallel Processing, Paris, France, April 2016
“A Resilient Domain Decomposition Approach for Extreme Scale UQ Computations,” SIAM Parallel Processing, Paris, France, April 2016
“Quantifying Performance of a Resilient Elliptic PDE Solver on Uncertain Architectures Using SST/macro,,” SIAM Parallel Processing, Paris, France, April 2016
“A soft and hard faults resilient solver for 2D uncertain elliptic PDEs via fault-tolerant MPI server-client-based implementation,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“A Hybrid Approach to Tackle Resiliency in Extreme Scale Computations Using a Domain Decom- position Solver for Uncertain Elliptic PDEs,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“UQTk: a C++/Python Toolkit for Uncertainty Quantification,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“Implementation of UQ workflows with the C++/Python UQTk toolkit,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“Probabilistic Inference of Model Parameters and Missing High-Dimensional Data Based on Summary Statistics,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“Reduction of Chemical Models under Uncertainty,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“Adaptive Sparse Quadrature for Stochastic Optimization,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016
“Surrogate-based Approach for Optimization Problems under Uncertainty,” SIAM Uncertainty Quantification, Lausanne, Switzerland, April 2016

2015

“Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing,” American Geophysical Society Fall Meeting, San Francisco, CA, Dec 2015
“PDE Preconditioner Resilient to Soft and Hard Faults,” Super Computing 2015, Austin, TX, Nov 2015
“Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults,” FTS 2015, First International Workshop on Fault Tolerant Systems, IEEE Cluster 2015,, Chicago, IL, Sep 2015
“An Efficient Approach for Stochastic Optimization of Electricity Grid Operations,” 13th U.S. National Congress on Computational Mechanics, San Diego, CA, July 2015
“Calibration and Forward Uncertainty Propagation of Turbulence Models for Coarse-Grid Large Eddy Simulation,” 13th U.S. National Congress on Computational Mechanics, San Diego, CA, July 2015
“Sparse Surrogate Construction Via Bayesian Compressive Sensing,” International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Crete Island, Greece, May 2015
“Bayesian Compressive Sensing Framework for High-Dimensional Surrogate Construction,” SIAM Computational Science and Engineering Meeting, Salt Lake City, UT, March 2015
“An Efficient Approach for Stochastic Optimization of Electricity Grid Operations,” SIAM Computational Science and Engineering Meeting, Salt Lake City, UT, March 2015
“Two-Stage Adaptive Robust Unit Commitment Using Scenarios Induced Uncertainty Set,” SIAM Computational Science and Engineering Meeting, Salt Lake City, UT, March 2015
“Spatial Decomposition for Resilient Extreme-Scale Scientific Simulations,” SIAM Computational Science and Engineering Meeting, Salt Lake City, UT, March 2015
“Model Calibration and Error Propagation for Large-Eddy Simulation of Turbulent Flows,” SIAM Computational Science and Engineering Meeting, Salt Lake City, UT, March 2015

2014

“Parameter Estimation in High-Dimensional Climate Models,” American Geophysical Society Fall Meeting, San Francisco, CA, Dec 2014
“Toward Using Surrogates to Accelerate Solution of Stochastic Electricity Grid Operations Problems,” North-American Power Symposium, Pullman, WA, Sep 2014
“Sandia Software Enabling Extreme-Scale Uncertainty Quantification,” DOE SciDAC Meeting, Washington DC, July 2014
“An Overview of Select UQ Algorithms and their Utility in Applications,” DOE SciDAC Meeting, Washington DC, July 2014
“Probabilistic methods for power grid networks,” SIAM Annual Meeting, Chicago, IL, July 2014
“Towards a Probabilistic Approach to Extreme-Scale Simulations under Uncertainty and System Faults,” SIAM Annual Meeting, Chicago, IL, July 2014
“Bayesian Compressive Sensing Framework for High-Dimensional Surrogate Model Construction,” International Conference on Spectral and Higher Order Methods, Salt Lake City, UT, June 2014
“Rigorous LES Assessment for Predictive Simulations,” Predictive Engineering Science Panel Review, Sandia National Labs, Livermore, CA, April 2014
“Probabilistic Approaches for Fault-Tolerance and Scalability in Extreme-Scale Computing,” SIAM Uncertainty Quantification,, Savannah, GA, Mar 2014
“Bayesian Discontinuity Detection and Surrogate Construction for Complex Computer Models,” SIAM Uncertainty Quantification,, Savannah, GA, Mar 2014
“Bayesian Compressive Sensing Framework for Sparse Representations of High-Dimensional Models,” SIAM Uncertainty Quantification,, Savannah, GA, Mar 2014
“Low-rank and sparse representation methods for uncertainty quantification,” SIAM Uncertainty Quantification,, Savannah, GA, Mar 2014
“Probabilistic Approaches for Fault-Tolerance and Scalability in Extreme-Scale Computing,” SIAM Conference on Parallel Processing for Scientific Computing, Portland, OR, Feb 2014
“Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis,” AIAA Science and Technology Forum and Exposition, National Harbor, MD, Jan 2014

2013

“Inference of Chemical Model Parameters given Partial Information,” 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Canberra, Australia, Dec 2013
“Global Sensitivity Analysis and Parameter Calibration for an Ecosystem Carbon Mode,” merican Geophysical Society Fall Meeting, San Francisco, CA, Dec 2013
“Probabilistic Approaches for Communication Avoidance and Resilience in Exascale Simulations,” ExaMath13 Workshop, Washington, DC, August 2013
“Hybrid Discrete-Continuum Algorithms for Stochastic Reaction Networks,” DOE ASCR PI meeting, Albuquerque, NM, Aug 2013
“Probabilistic Schwarz Preconditioner for Fault Tolerance and Scalability,” DOE ASCR PI meeting, Albuquerque, NM, Aug 2013
“Algorithms for Sparse and Missing Data,” DOE SciDAC Meeting, Washington DC, July 2013
“Sandia Software Enabling Extreme-Scale Uncertainty Quantification,,” DOE SciDAC Meeting, Washington DC, July 2013
“Surrogate Construction and Dimensionality Reduction via Bayesian Compressive Sensing,” 12thUS National Congress on Computational Mechanics, Raleigh, NC, July 2013
“Data Free Inference in Computational Models,” SIAM Annual Meeting, San Diego, CA, July 2013
“Sparse surrogate model construction via compressive sensing for high-dimensional complex models,” SIAM Annual Meeting, San Diego, CA, July 2013
“DALEC calibration with daily NEE Data at Harvard Forest,” DOE BER PI Meeting, Washington, DC, May 2013
“Parameter Estimation with Partial Information,” Workshop on Numerical Methods for Uncertainty Quantification, Bonn, Germany, May 2013
“Probabilistic Schwarz Coupling for Fault-Tolerance and Scalability,” SIAM Computational Science and Engineering Meeting, Boston, MA, Feb 2013
“Hybrid Discrete/Continuum Algorithms for Stochastic Reaction Networks,” SIAM Computational Science and Engineering Meeting, Boston, MA, Feb 2013
“High-dimensional Polynomial Chaos Basis Selection with Bayesian Compressive Sensing,” SIAM Computational Science and Engineering Meeting, Boston, MA, Feb 2013
“Surrogate construction via Bayesian compressive sensing for the Community Land Model,” Winter CESM Uncertainty Quantification and Analysis Interest Group Meeting, Boulder, CO, Feb 2013
“Dimensionality Reduction and Global Sensitivity Analysis for the Community Land Model,” Winter CESM Uncertainty Quantification and Analysis Interest Group Meeting, Boulder, CO, Feb 2013

2012

“Surrogate-Based Uncertainty Quantification in Climate Models in Presence of High Dimensional, Dependent Inputs and Multimodal Outputs,” American Geophysical Society Fall Meeting, San Francisco, CA, Dec 2012
“Uncertainty analysis and Bayesian Inference of emissions and transport from urban areas,” American Geophysical Society Fall Meeting, San Francisco, CA, Dec 2012
“Algorithmic Developments for UQ in Extreme Scale Simulations,” SciDAC 3 PI meeting, Rockville, MD, Sep 2012
“Sparse Polynomial Representations of High Dimensional Models,” 10th World Congress on Computational Mechanics, Sao Paulo, Brazil, Jul 2012
“Uncertainty Quantification in Community Land Model,” CESM Annual Workshop, Breckenridge, CO, Jun 2012
“Coupled Chemical Master Equation – Fokker Planck solver for stochastic reaction networks,” SIAM Uncertainty Quantification, Raleigh, NC, Apr 2012
“Efficient Surrogate Construction for High-Dimensional Climate Models,” SIAM Uncertainty Quantification, Raleigh, NC, Apr 2012
“Adaptive Basis Selection and Dimensionality Reduction with Bayesian Compressive Sensing,” SIAM Uncertainty Quantification, Raleigh, NC, Apr 2012
“An Overview of Uncertainty Quantification in the Community Land Model,” SIAM Uncertainty Quantification, Raleigh, NC, Apr 2012