ME Seminar: Dr. Jay Lee

Thursday, April 7, 2022
11:15 a.m.
Kay Boardrooms 1107/1111, Kim Engineering Building
Nicholas Thompson
301 405 2410
nthomps3@umd.edu

Virtual Option: To attend via Zoom, register at go.umd.edu/JayLee

Seminar: Industrial AI and Prognostics of Connected and Complex Engineering Systems

Today, many industrial operations are facing increased challenges to manage its global assets due to several factors including pandemic, shortage of skillful workforce, and other unknowns. It necessitates new thinking and technologies to make industrial system smarter, resilient, and worry-free. Industrial Internet, AI, Big Data Analytics, Machine Learning, and Cyber Physical Systems are changing the way we design product, manufacturing, and service systems. It is clear that as more sensors and smart analytics software are integrated in the networked industrial products, manufacturing, and maintenance systems, predictive technologies can further learn and autonomously optimize productivity and performance. This presentation will give an introduction about advanced prognostics for smart resilient products, manufacturing operations, and service systems.

Speaker Biography 

Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair, and Univ. Distinguished Professor, and founding director of the National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) in partnership with over 100 global company members. IMS was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He is also the Founding Director of Industrial AI Center (www.iaicenter.com ). He mentored his students and developed a number of start-up companies including Predictronics through NSF iCorp in 2013.

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