Jay Lee

Title:

Industrial AI and Resilient Maintenance Systems

Description:

Today, many global companies are facing increased challenges to manage its global assets due to several factors including pandemic, workforce, and other unknowns. It necessitates new thinking and technologies to make system smarter and more resilient. 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, manufacturing, and maintenance systems, predictive technologies can further learn and autonomously optimize productivity and performance. This presentation will give an introduction about Industrial AI for smart resilient maintenance operations and decision making. First, the development of Industrial AI using a systematic approach will be introduced. Case studies on advanced predictive analytics technologies for large-scale and complex engineering systems will be demonstrated. In addition, research issues on data quality for industrial AI enabled maintenance will be discussed.

Biography:

Dr. Jay Lee is Vice Chairman and Board Member of Foxconn Technology Group. Currently, he is on leave from Univ. of Cincinnati where he holds Ohio Eminent Scholar and L.W. Scott Alter Chair Professor and is the founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) which was a multi-university Center including the Univ. of Cincinnati, Univ. of Michigan and Univ. of Texas Austin. In addition, he is the Founding Director of Industrial AI Center (www.iaicenter.com).
He also serves as a member of the Global Future Council on Advanced Manufacturing and Production of the World Economics Forum (WEF) as well as a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM) to engage the global leaders for the development of collaborative activities in smart manufacturing.
Previously, he served as senior advisor to McKinsey & Company. Prior to his academic career, 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. He was selected as 30 Visionaries in Smart Manufacturing in by SME in Jan. 2016 and 20 most influential professors in Smart Manufacturing in June 2020. His new book on Industrial AI was published by Springer in 2020.
For publication citation and impacts, see
Google Scholar: https://scholar.google.com/citations?user=g9GtqgQAAAAJ&hl=en&oi=ao
ResearchGate: https://www.researchgate.net/profile/Jay_Lee10

Department of Mechanical Engineering

Universidad de los Andes

amest@uniandes.edu.co

Tel.: +571 339 4949 Ext 1753

Carrera 1 Este No. 19ª -40

Bogotá, Colombia

REDES SOCIALES

Universidad de los Andes | Vigilada MineducaciónReconocimiento como Universidad: Decreto 1297 del 30 de mayo de 1964. Reconocimiento personería jurídica: Resolución 28 del 23 de febrero de 1949 Minjusticia.