Optimization of a supersonic airfoil using the multi-objective alliance algorithm. - Valerio Lattarulo; Pranay Seshadri; Geoffrey T. Parks (GECCO, 2013)

Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies. - Pranay Seshadri; Geoffrey T. Parks (J. Open Source Softw., 2017)

Effectively Subsampled Quadratures for Least Squares Polynomial Approximations. - Pranay Seshadri; Akil Narayan 001; Sankaran Mahadevan (SIAM/ASA J. Uncertain. Quantification, 2017)

Embedded Ridge Approximations: Constructing Ridge Approximations Over Localized Scalar Fields For Improved Simulation-Centric Dimension Reduction. - Chun Yui Wong; Pranay Seshadri; Geoffrey T. Parks; Mark A. Girolami (CoRR, 2019)

Extremum Global Sensitivity Analysis with Least Squares Polynomials and their Ridges. - Chun Yui Wong; Pranay Seshadri; Geoffrey T. Parks (CoRR, 2019)

AeroVR: Immersive Visualization System for Aerospace Design. - Slawomir Konrad Tadeja; Pranay Seshadri; Per Ola Kristensson (CoRR, 2019)

Dimension Reduction via Gaussian Ridge Functions. - Pranay Seshadri; Henry Shaowu Yuchi; Geoffrey T. Parks (SIAM/ASA J. Uncertain. Quantification, 2019)

Blade Envelopes Part I: Concept and Methodology. - Chun Yui Wong; Pranay Seshadri; Ashley Scillitoe; Andrew B. Duncan; Geoffrey T. Parks (CoRR, 2020)

Bayesian Assessments of Aeroengine Performance. - Pranay Seshadri; Andrew B. Duncan; George Thorne; Geoffrey T. Parks; Mark Girolami (CoRR, 2020)

Blade Envelopes Part II: Multiple Objectives and Inverse Design. - Chun Yui Wong; Pranay Seshadri; Ashley Scillitoe; Bryn Noel Ubald; Andrew B. Duncan; Geoffrey T. Parks (CoRR, 2020)

Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning. - Chun Yui Wong; Pranay Seshadri; Geoffrey T. Parks (CoRR, 2021)

Jarvis for Aeroengine Analytics: A Speech Enhanced Virtual Reality Demonstrator Based on Mining Knowledge Databases. - Slawomir Konrad Tadeja; Krzysztof Kutt; Yupu Lu; Pranay Seshadri; Grzegorz J. Nalepa; Per Ola Kristensson (CoRR, 2021)

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests. - Ashley Scillitoe; Pranay Seshadri; Mark Girolami (J. Comput. Phys., 2021)

Extremum sensitivity analysis with polynomial Monte Carlo filtering. - Chun Yui Wong; Pranay Seshadri; Geoffrey T. Parks (Reliab. Eng. Syst. Saf., 2021)

Density Estimation from Schlieren Images through Machine Learning. - Bryn Noel Ubald; Pranay Seshadri; Andrew B. Duncan (CoRR, 2022)

Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations. - Chun Yui Wong; Pranay Seshadri; Andrew B. Duncan; Ashley Scillitoe; Geoffrey T. Parks (CoRR, 2022)