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Kyle James Daun

Affiliations: 
1999-2005 Mechanical Engineering University of Texas at Austin, Austin, Texas, U.S.A. 
 2004-2007 Metrology Research Centre National Research Council, Canada, Ottawa, Ontario, Canada 
 2007- Mechanical and Mechatronics Engineering University of Waterloo, Waterloo, ON, Canada 
Website:
https://uwaterloo.ca/waterloo-laboratory-for-inverse-analysis-and-thermal-sciences/
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"Kyle Daun"
Bio:

Kyle Daun is from Winnipeg, Manitoba. He received his BSc in mechanical engineering from the University of Manitoba (1997), his MASc from the University of Waterloo (1999) and his PhD from the University of Texas at Austin (2003). His dissertation on design optimization of radiant enclosures was nominated for a Dissertation of the Year Award.

From 2004-2007 he worked at the National Research Council (NRC) Canada as an NSERC postdoctoral fellow and later as a research officer. While at NRC he researched thermal radiation in solid oxide fuel cells and developed laser-based combustion diagnostics, including line-of-sight-attenuation spectroscopy (LOSA) and laser-induced incandescence (LII).

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Parents

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John Reid Howell grad student 1999-2005 UT Austin

Children

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Timothy Andrew Sipkens grad student 2012-2018 University of Waterloo
Samuel Jacobi Grauer grad student 2014-2018 University of Waterloo

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Publications

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Wigle A, Béliveau A, Blackmore D, et al. (2024) Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach. Acs Es&T Air. 1: 1000-1014
Sipkens TA, Menser J, Dreier T, et al. (2022) Laser-induced incandescence for non-soot nanoparticles: recent trends and current challenges. Applied Physics. B, Lasers and Optics. 128: 72
Emmert J, Grauer SJ, Wagner S, et al. (2019) Efficient Bayesian inference of absorbance spectra from transmitted intensity spectra. Optics Express. 27: 26893-26909
Hadwin PJ, Sipkens TA, Thomson KA, et al. (2018) Kalman filter approach for uncertainty quantification in time-resolved laser-induced incandescence. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 35: 386-396
Sipkens TA, Hadwin PJ, Grauer SJ, et al. (2017) General error model for analysis of laser-induced incandescence signals. Applied Optics. 56: 8436-8445
Grauer SJ, Hadwin PJ, Sipkens TA, et al. (2017) Measurement-based meshing, basis selection, and prior assignment in chemical species tomography. Optics Express. 25: 25135-25148
Grauer SJ, Hadwin PJ, Daun KJ. (2017) Improving chemical species tomography of turbulent flows using covariance estimation. Applied Optics. 56: 3900-3912
Grauer SJ, Hadwin PJ, Daun KJ. (2016) Bayesian approach to the design of chemical species tomography experiments. Applied Optics. 55: 5772-82
Hadwin PJ, Galindo GE, Daun KJ, et al. (2016) Non-stationary Bayesian estimation of parameters from a body cover model of the vocal folds. The Journal of the Acoustical Society of America. 139: 2683
Daun KJ, Waslander SL, Tulloch BB. (2011) Infrared species tomography of a transient flow field using Kalman filtering. Applied Optics. 50: 891-900
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