Engineering Fellow and Director of Advanced Technology, Supply Chain Strategy, Innovation and Deployment at Johnson & Johnson
Maria Araujo leads a team focused on technology scouting, sourcing and development in sensing and IoT. Her areas of focus include smart asset optimization, digital worker, advanced process control, track & trace, robotics and automation. She uses emerging technologies – both commercial and in development – to enable J&J’s factory of the future.
Previously, Araujo was a manager of R&D at Southwest Research Institute, leading a team of engineers on embedded and machine learning-based automation systems development. She was the Principal Investigator on the U.S. Department of Energy's Smart Methane Leak Detection project, developing an automated methane leak detection system to detect greenhouse gases from midstream facilities using midwave IR imaging, machine learning and drones.
Araujo holds bachelor’s and master’s degrees in electrical engineering from the University of California, Los Angeles. She is the recipient of an R&D 100 Award, has several publications in sensing and machine learning, and was named one of San Antonio’s Top 40 Under 40 in 2017 by the San Antonio Business Journal.