Pranay Seshadri

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 15

Top Topics

Sensitivity Analysis

Bayesian Decision

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Comput. Phys.

Publications

Chun Yui Wong, Pranay Seshadri, Andrew B. Duncan, Ashley Scillitoe, Geoffrey T. Parks
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations. CoRR (2022)
Bryn Noel Ubald, Pranay Seshadri, Andrew B. Duncan
Density Estimation from Schlieren Images through Machine Learning. CoRR (2022)
Slawomir Konrad Tadeja, Krzysztof Kutt, Yupu Lu, Pranay Seshadri, Grzegorz J. Nalepa, Per Ola Kristensson
Jarvis for Aeroengine Analytics: A Speech Enhanced Virtual Reality Demonstrator Based on Mining Knowledge Databases. CoRR (2021)
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks
Automatic Borescope Damage Assessments for Gas Turbine Blades via Deep Learning. CoRR (2021)
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks
Extremum sensitivity analysis with polynomial Monte Carlo filtering. Reliab. Eng. Syst. Saf. 212 (2021)
Ashley Scillitoe, Pranay Seshadri, Mark Girolami
Uncertainty quantification for data-driven turbulence modelling with Mondrian forests. J. Comput. Phys. 430 (2021)
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Andrew B. Duncan, Geoffrey T. Parks
Blade Envelopes Part I: Concept and Methodology. CoRR (2020)
Pranay Seshadri, Andrew B. Duncan, George Thorne, Geoffrey T. Parks, Mark Girolami
Bayesian Assessments of Aeroengine Performance. CoRR (2020)
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe, Bryn Noel Ubald, Andrew B. Duncan, Geoffrey T. Parks
Blade Envelopes Part II: Multiple Objectives and Inverse Design. CoRR (2020)
Slawomir Konrad Tadeja, Pranay Seshadri, Per Ola Kristensson
AeroVR: Immersive Visualization System for Aerospace Design. CoRR (2019)
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks
Extremum Global Sensitivity Analysis with Least Squares Polynomials and their Ridges. CoRR (2019)
Pranay Seshadri, Henry Shaowu Yuchi, Geoffrey T. Parks
Dimension Reduction via Gaussian Ridge Functions. SIAM/ASA J. Uncertain. Quantification 7 (4) (2019)
Chun Yui Wong, Pranay Seshadri, Geoffrey T. Parks, Mark A. Girolami
Embedded Ridge Approximations: Constructing Ridge Approximations Over Localized Scalar Fields For Improved Simulation-Centric Dimension Reduction. CoRR (2019)
Pranay Seshadri, Geoffrey T. Parks
Effective-Quadratures (EQ): Polynomials for Computational Engineering Studies. J. Open Source Softw. 2 (11) (2017)
Pranay Seshadri, Akil Narayan, Sankaran Mahadevan
Effectively Subsampled Quadratures for Least Squares Polynomial Approximations. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Valerio Lattarulo, Pranay Seshadri, Geoffrey T. Parks
Optimization of a supersonic airfoil using the multi-objective alliance algorithm. GECCO (2013)