Sprinkle Discusses Big Data's Impact on Autonomous Systems
ECE Litton Industries John M. Leonis Distinguished associate professor Jonathan Sprinkle recently discussed autonomous systems for the Center for Connected and Automated Transportation's Distinguished Lecture Series.
In the lecture "Autonomous and Intelligent Cyber-Physical Systems in the Era of Big Data," Sprinkle discussed the role data can play in machine learning, artificial intelligence and convergence research.
"The way things are going in the future, I would propose, is that those results that are being disseminated with data, we want to take those data now and have them be earlier in the process. We want to now have exploration of a role for how data can take a more primary role in developing your models and validating your designs, and even impacting the theory of what you'd like to do," said Sprinkle, head of the Transportation Research Institute.
Sprinkle, who has been teaching at the UA since 2007, is the recipient of a 2013 NSF CAREER Award, a 2014 Catapult Award from Tech Launch Arizona, and a 2020 University Distinguished Scholar Award, among many other accolades. His research into autonomous vehicles focuses on optimizing traffic flow for systems of cars, rather than individual vehicles, and uses the Cognitive and Autonomous Test Vehicle, or CAT Vehicle to gather data.