Graduated with PhD in Sept 2018
FlareNet HQP: January 2017 - September 2018
Current Status: Postdoctoral Fellow at the Georgia Institute of Technology
Research Area: Bayesian methods in optical gas detection
Sam is a PhD candidate with Professor Kyle Daun at the University of Waterloo. His doctoral research involves inverse problems in optical gas detection methods, which he is applying to the FlareNet Strategic Network research on methane slip quantification (Theme 5). Sam uses the Bayesian approach to inverse analysis to reconstruct the spatial distribution of an emissions flux from light intensity measurements made around the gas. His contributions to chemical species tomography include a broadband measurement model, a statistical design-of-experiment technique, and a novel algorithm for the tomographic reconstruction of turbulent jets.
Supervisor: Professor Kyle Daun at the University of Waterloo
Further information about Sam’s research can be found on his website samgrauer.ca