As society enters the era of Big Data, and intelligent Cyber-Physical Systems begins to embrace it, researchers will rely more on data to train controllers or validate them from repeated simulations.

This talk will describe autonomous and intelligent Cyber-Physical Systems (CPS), and how the availability of experimental testbeds has enabled discoveries applicable for societal-scale systems - one of which is the Cognitive and Autonomous Testbed Vehicle (CAT Vehicle). It has participated in several high-profile experiments regarding heterogeneous human-driven and semi-autonomous traffic flow. Dr. Sprinkle will detail ongoing efforts that explore how collaboration with researchers in application domain fields can dramatically expand available data sets. This also provides unique opportunities for exploring the security and privacy challenges that accompany societal-scale systems.
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About the speaker: Dr. Jonathan Sprinkle is the Litton Industries John M. Leonis Distinguished Associate Professor of Electrical and Computer Engineering at the University of Arizona and the Interim Director of the Transportation Research Institute. In 2020 he was named a Distinguished Scholar of the University of Arizona. From 2017-2019 he served as a Program Director in Cyber-Physical Systems and Smart & Connected Communities at the National Science Foundation in the CISE Directorate. In 2013 he received the NSF CAREER award, and in 2009, he received the UA's Ed and Joan Biggers Faculty Support Grant for work in autonomous systems. His work has an emphasis on industry impact, and he was recognized with the UA "Catapult Award" by Tech Launch Arizona in 2014, and in 2012 his team won the NSF I-Corps Best Team award. His research interests and experience are in model-based approaches to cyber-physical systems, and he teaches courses ranging from software modeling to mobile application development and software engineering.