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Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds

Journal of Computational Physics, Vol. 399, pp. 108930, 2019.

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Embedded Model Error Representation for Bayesian Model Calibration

International Journal for Uncertainty Quantification, Vol. 9, No. 4, pp. 365–394, 2019.

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Towards a Real-Time In-Flight Ice Detection System via Computational Aeroacoustics and Bayesian Neural Networks

AIAA Aviation 2019 Forum, AIAA paper 2019–3103, Dallas, TX, 2019.

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Entropy-based closure for probabilistic learning on manifolds

Journal of Computational Physics, Vol. 388, pp. 518–533, 2019.

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Compressive sensing adaptation for polynomial chaos expansions

Journal of Computational Physics, Vol. 380, pp. 29–47, 2019.

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Enhancing Model Predictability for a Scramjet Using Probabilistic Learning on Manifolds

AIAA Journal, Vol. 57, No. 1, pp. 365–378, 2019.

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Uncertainty Propagation Using Conditional Random Fields in Large-Eddy Simulations of Scramjet Computations

AIAA Scitech 2019 Forum, AIAA paper 2019–0724, San Diego, CA, 2019.

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Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig

AIAA Scitech 2019 Forum, AIAA paper 2019–0725, San Diego, CA, 2019.

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Uncertainty Assessment of Octane Index Framework for Stoichiometric Knock Limits of Co-Optima Gasoline Fuel Blends

SAE International Journal of Fuels and Lubricants, Vol. 11, No. 3, pp. 247–270, 2018.

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Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions

SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, No. 2, pp. 907–936, 2018.

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Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations

AIAA Journal, Vol. 56, No. 3, pp. 1170–1184, 2018.

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Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations

2018 AIAA Non-Deterministic Approaches Conference, AIAA paper 2018–1180, Kissimmee, FL, 2018.

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Design analysis for optimal calibration of diffusivity in reactive multilayers

Combustion Theory and Modelling, Vol. 21, No. 6, pp. 1023–1049, 2017.

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Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design

19th AIAA Non-Deterministic Approaches Conference, AIAA paper 2017–1089, Grapevine, TX, 2017.

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A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework

Dynamic Data-Driven Environmental Systems Science, First International Conference, DyDESS 2014, pp. 301–309, Cambridge, MA, 2015.

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Numerical Approaches for Sequential Bayesian Optimal Experimental Design

Ph.D. Thesis, Massachusetts Institute of Technology, 2015.

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Gradient-Based Stochastic Optimization Methods in Bayesian Experimental Design

International Journal for Uncertainty Quantification, Vol. 4, No. 6, pp. 479–510, 2014.

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Simulation-based optimal Bayesian experimental design for nonlinear systems

Journal of Computational Physics, Vol. 232, No. 1, pp. 288–317, 2013.

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Optimal Bayesian Experimental Design for Combustion Kinetics

49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, AIAA paper 2011–513, Orlando, FL, 2011.

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Accelerated Bayesian Experimental Design for Chemical Kinetic Models

S.M. Thesis, Massachusetts Institute of Technology, 2010.

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Interface and Boundary Schemes for High-Order Methods

19th AIAA Computational Fluid Dynamics, AIAA paper 2009–3658, San Antonio, TX, 2009.

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Accuracy and Stability Analysis of Summation-By-Parts Operators

B.A.Sc. Thesis, University of Toronto, 2008.

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