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