Affiliation: Utah State University
Bio: Barton Smith is a professor of Mechanical Engineering at Utah State University, where he has been teaching for 15 years. His research is focused on experimental fluid dynamics and heat transfer, which presents ample opportunity to consider issues of measurement uncertainty. Seeing a need for measurement uncertainty in Particle Image Velocimetery (PIV), he co-organized the 2011 of PIV Uncertainty Workshop in Las Vegas. This event led directly to considerable interest in the topic, and five years later, many excellent publications on practical methods to assess a posteriori PIV uncertainty are in print, including the seminal paper and several others that he co-authored. Two of these papers are currently in the top five cited publications in the Measurement Science and Technology journal. Dr. Smith continues to explore new topics in measurement uncertainty on optical measurement techniques in addition to important topics such as independent sampling and partially correlated measurements.
Affiliation: LaVision Inc
Bio: Douglas Neal is a senior research engineer at LaVision Inc, a leading developer of measurement systems for the scientific research community. He previously studied experimental fluid mechanics at Michigan State University, where he received his PhD in mechanical engineering in 2010. He is actively involved in research efforts to identify and mitigate error sources in imaging techniques, such as the bias errors introduced from laser timing issues and bias errors that are result of peak-locking effects. In 2013, he co-founded an international collaboration for PIV uncertainty, which resulted in an extensive measurement campaign to create a database for assessing the efficacy of the various published PIV uncertainty quantification methods. The results of this international collaboration are summarized in two papers that are currently in the top five cited publications in the Measurement Science and Technology journal. Dr. Neal continues to explore new topics in measurement uncertainty on optical measurement techniques in addition to important topics such as independent sampling and partially correlated measurements.