The Deep Technologies Behind Industry 4.0
The Mid-Michigan AIChE invites you for our May seminar on the topic:
“The Deep Technologies Behind Industry 4.0”
Assistant Preofessor at Michigan State University
Wednesday November 04 from 11:45 AM to 1:00 pm (Eastern Standard Time)
We are committed to providing a safe and healthy environment for all meeting attendees. In light of the impact of the Coronavirus, we will be holding this meeting virtually. Please reach out to Pranav Karanjkar (firstname.lastname@example.org) for a Webex link. We will provide everyone some time to properly dial into the virtual meeting and start the seminar at 11:45 am.
The lecture qualifies for one continuing education hour. CEH certificates are needed for licensed Professional Engineers to maintain their license and certificates will be provided to interested attendees.
This session will define and explore emergent technologies driving the fourth industrial revolution, including the Industrial Internet of Things, Digital Twins, pervasive sensing, and artificial intelligence. Cross-industry use cases will be presented, with particular emphasis placed on “smart” manufacturing processes and supply chain. The concept of "pareto data" (data generated incidentally and/or from low-cost pervasive sensors, such as mobile phones) will also be presented in the context of enabling low-cost, pervasive vehicle diagnostics, as an example of turning "data exhaust" into actionable insight.
Josh Siegel is an Assistant Professor of Computer Science and Engineering at Michigan State University, where he runs the Deep Technology (DeepTech) Laboratory. He is also the creator of and lead instructor for the Massachusetts Institute of Technology’s “Internet of Things” and “DeepTech” Bootcamps and was the founder of two automotive technology startups. His research interests include sensing, secure and efficient connectivity, universal diagnostics, the Internet of Things, and enhanced automated driving. He holds Ph.D., S.M., and S.B. degrees in Mechanical Engineering from the Massachusetts Institute of Technology.