Jay Lee is the Clark Distinguished Chair Professor and Director of the Industrial AI Center at the University of Maryland, College Park. His work focuses on applying artificial intelligence, predictive analytics and advanced machine learning to manufacturing and complex industrial systems.
He previously served as Vice Chairman and Board Member of Foxconn Technology Group from 2019 to 2021, helping advance its industrial internet strategy and AI-enabled manufacturing. His work contributed to Foxconn’s smart factory initiatives, including facilities recognised through the World Economic Forum’s Global Lighthouse Network.
Earlier, Lee founded the National Science Foundation’s Industry/University Cooperative Research Center on Intelligent Maintenance Systems, which brought together academic researchers and more than 130 corporate partners to develop predictive maintenance technologies.
His current research explores Industrial Physical AI, digital twins, industrial knowledge models and intelligent systems capable of predicting and responding to operational problems. He also leads the Data Foundry, a collection of more than 100 industrial datasets supporting AI research and engineering education.
An author and adviser to industry, Lee brings together decades of research and experience implementing technology in real manufacturing environments.
