Paul J. Hadwin

Chemical species tomography of turbulent flows: Discrete ill-posed and rank deficient problems and the use of prior information

Kyle J. Daun, Samuel J. Grauer, Paul J. Hadwin · Journal of Quantitative Spectroscopy and Radiative Transfer · 2015 · 104 citations

Natural Sciences, Chemical Engineering, Computational Fluid Dynamics +13

Quantifying uncertainty in soot volume fraction estimates using Bayesian inference of auto-correlated laser-induced incandescence measurements

Paul J. Hadwin, Timothy A. Sipkens, Kevin A. Thomson et al. · Applied Physics B · 2016 · 66 citations

Computing, Computational Engineering, Bayesian Data Analysis +15

Bayesian approach to the design of chemical species tomography experiments

Samuel J. Grauer, Paul J. Hadwin, Kyle J. Daun · Applied Optics · 2016 · 44 citations

Computing, Biostatistics, Bayesian Data Analysis +16

Non-stationary Bayesian estimation of parameters from a body cover model of the vocal folds

Paul J. Hadwin, Gabriel E. Galindo, Kyle J. Daun et al. · The Journal of the Acoustical Society of America · 2016 · 28 citations · Full text

Computing, Speech-language Pathology, Bayesian Data Analysis +16

General error model for analysis of laser-induced incandescence signals

Timothy A. Sipkens, Paul J. Hadwin, Samuel J. Grauer et al. · Applied Optics · 2017 · 28 citations

Computing, Computational Engineering, Optics +16