Pranay Seshadri

According to our database, Pranay Seshadri authored at least 16 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations.

Chun Yui Wong, Pranay Seshadri, Andrew B. Duncan, Ashley Scillitoe, Geoffrey T. Parks

CoRR, 2022

Density Estimation from Schlieren Images through Machine Learning.

Bryn Noel Ubald, Pranay Seshadri, Andrew B. Duncan

CoRR, 2022

2021

Extremum sensitivity analysis with polynomial Monte Carlo filtering.

Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks

Reliab. Eng. Syst. Saf., 2021

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests.

Ashley Scillitoe, Pranay Seshadri, Mark Girolami

J. Comput. Phys., 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

Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning.

Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks

CoRR, 2021

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

Bayesian Assessments of Aeroengine Performance.

Pranay Seshadri, Andrew B. Duncan, George Thorne, Geoffrey T. Parks, Mark Girolami

CoRR, 2020

Blade Envelopes Part I: Concept and Methodology.

Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew B. Duncan, Geoffrey T. Parks

CoRR, 2020

2019

Dimension Reduction via Gaussian Ridge Functions.

Pranay Seshadri, Henry Shaowu Yuchi, Geoffrey T. Parks

SIAM/ASA J. Uncertain. Quantification, 2019

AeroVR: Immersive Visualization System for Aerospace Design.

Slawomir Konrad Tadeja, Pranay Seshadri, Per Ola Kristensson

CoRR, 2019

Extremum Global Sensitivity Analysis with Least Squares Polynomials and their Ridges.

Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks

CoRR, 2019

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

2017

Effectively Subsampled Quadratures for Least Squares Polynomial Approximations.

Pranay Seshadri, Akil Narayan, Sankaran Mahadevan

SIAM/ASA J. Uncertain. Quantification, 2017

Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies.

Pranay Seshadri, Geoffrey T. Parks

J. Open Source Softw., 2017

2013

Optimization of a supersonic airfoil using the multi-objective alliance algorithm.

Valerio Lattarulo, Pranay Seshadri, Geoffrey T. Parks

Proceedings of the Genetic and Evolutionary Computation Conference, 2013