Abstract
Industrial 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 and manufacturing systems, predictive technologies can further learn and autonomously optimize productivity and performance. This presentation will address the trends of Industrial AI for future smart industrial internet transformation. First, Industrial AI enabled industrial systems will be introduced. Case studies on advanced predictive analytics technologies for WEF smart lighthouse factory will be demonstrated. In addition, issues in using 5G for high performance data analytics in future manufacturing will be discussed.
Bio
Prof. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Univ. Distinguished Professor at the Univ. of Cincinnati. He is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS) (www.imscenter.net). Since its inception in 2001, the Center has been supported by over 100 global companies. IMS was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He is also the Foundation Director of Industrial AI (www.iaicenter.com ) as well as a co-Founder of a number of start-up companies including Predictronics (a start-up company through NSF ICorp award in 2012). Currently, he serves as a board member and vice chairman of Hon Hai Precision (Foxconn Technology Group) to advise its manufacturing initiatives in US. In addition, he serves as a senior advisor to McKinsey & Company and a member of the Global Future Council of World Economic Forum (WEF). Previously, he served as director for product development and manufacturing at United Technologies Research Center (UTRC) as well as program directors for a number of programs at NSF including the Engineering Research Centers Program, the Industry/University Cooperative Research Centers Program, and Materials Processing, and Manufacturing Program, etc., etc. He is a frequently invited speaker and has delivered over 260 keynote and plenary speeches at major international conferences. He is a Fellow of ASME, SME, PHM (Prognostics and Health Management), as well as a founding fellow of International Society of Engineering Asset Management (ISEAM). For Publication, see google scholar
https://scholar.google.com/citations?user=g9GtqgQAAAAJ&hl=en&oi=ao
He has received a number of awards including the Prognostics Innovation Award at NI Week by National Instruments in 2012, NSF Alex Schwarzkopf Technological Innovation Prize in 2014, MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and PICMET Medal of Excellence in 2016. His Team won the 1st Place of PHM Data Challenges five time out of nine competitions since 2008. He was selected to be one of the 30 Visionaries in Smart Manufacturing in U.S. by SME in 2016.
Host: Professor Bill King
