- Maria Araujo, Southwest Research Institute, San Antonio, Texas
The speaker will discuss how machine learning and big data are influencing the transportation and energy industries and will present the challenges that have been overcome and those still to be overcome. She will discuss how big data and machine learning can be used to solve existing problems in advanced fleet management and route optimization, emissions quantification, power train optimization, intake efficiency, catalyst efficiency, and identification of patterns in component failures to decrease service downtime.
About the Speaker:
Maria Araujo is Manager of Research and Development at Southwest Research Institute, a not-for-profit applied R&D organization located in San Antonio, Texas. Maria leads a team of engineers and scientists who are responsible for several areas of technologies related to the application of machine learning and data-mining techniques in a variety of industries, including automotive, oil and gas, smart energy, space, manufacturing and transportation. Her team has been involved in initiatives to advance related big data technologies, primarily involving the application of data mining techniques to identify predictive aspects in large data sets for the enhancement or creation of decision support systems.