Phillip Reu

Sandia National Laboratories

SEM Awards: G.A. Brewer, SEM Fellow, International Symposium on MEMS and Nanotechnology – Best Paper

Dr. Phillip L. Reu is a Distinguished Member of Technical Staff at Sandia National Laboratories. He has received an MS in biomedical engineering from Rensselaer Polytechnic Institute and an MS and PhD in mechanical engineering from the University of Wisconsin – Madison (2002). Phillip specializes in developing novel full-field measurement techniques in previously un-measurable regimes often using digital image correlation (DIC) or coherent optical measurement techniques. He was awarded the Brewer award for outstanding experimentalist from SEM in 2016. Current research efforts in DIC are focused on uncertainty quantification. Phillip is the author of the “Art and Application of DIC” article series in the journal of Experimental Techniques, international instructor in DIC techniques for “Metrology beyond colors”, chair of the DIC Challenge, president of the international digital image correlation society (iDICs), author of more than 30 peer reviewed journal articles, and pater familias to 6 kids.

Dr. Phillip L. Reu earned a Master’s of Science in biomedical engineering from Rensselaer Polytechnic Institute and a Master’s of Science and a PhD in mechanical engineering from the University of Wisconsin – Madison. Phil specializes in developing novel full-field measurement techniques in previously un-measurable regimes often using digital image correlation (DIC) or coherent optical measurement techniques. He has been instrumental in the popularization and wide-spread adoption of full-field and optical measurement techniques both at Sandia and globally. Phillip is the founding Vice President & current President of the International Digital Image Correlation Society (iDICs), and an international instructor in DIC techniques and best practices, training over 90 Sandians as well as researchers at LANL, AWE and the DoD. Phil’s leadership and technical contributions in developing and deploying these techniques, have been critical in proving that digital high-speed cameras can be used to make quantitative measurements with an understanding of the uncertainty, enabling their widespread use at the labs today.
 

 

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Last Updated: 03/04/2020


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