Seminar on Recent Advances of Industrial AI and AI Factory for Data-Centric Engineering Education

31 Oct 2025 02.00 PM - 03.00 PM LT16 (North Spine, NS1-04-25) Current Students, Public

Professor Jay Lee

Clark Distinguished Professor 

Director of Industrial AI Center

University of Maryland, College Park

This seminar will be chaired by Asst Prof Liang Xuan.

Seminar Abstract
This presentation highlights recent advances in Industrial AI—encompassing emerging technologies, tools, and talent development—and their transformative impact on digital and smart resilient engineering systems. The discussion begins with current trends in data-centric systems and the persistent reliability and productivity challenges across various industries. It then introduces novel approaches in Industrial AI and non-traditional machine learning methods, such as continuous Stream-of-Quality (SoQ) learning and similarity-based machine learning, illustrated with practical examples. Finally, the presentation explores the development of AI Factories and Data Foundries as foundational infrastructure for industrial agentic AI systems, along with strategies for cultivating the next generation of AI talent.
Speaker's Biography 

Dr. Jay Lee is the Clark Distinguished Professor and Founding Director of the Industrial AI Center in the Department of Mechanical Engineering at the University of Maryland, College Park. His current research focuses on advancing non-traditional machine learning techniques, including transfer learning, domain adaptation, similarity-based learning, Stream-of-X continuous machine learning, and the development of Industrial Large Knowledge Models (ILKM). He is also leading the development AI Factory and Data Foundry platform at UMD.

Dr. Lee was the founding director of the NSF Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS), established in collaboration with over 130 global industry partners. The IMS Center was recognized in the NSF Economic Impact Study (2012) as the most economically impactful I/UCRC at the time. Under his mentorship, his students have won first place in the PHM Society’s Data Challenge Competition six times (2008–2023). He has also contributed to the launch of several successful startups, including Predictronics, which emerged through the NSF iCorps program in 2013.

He currently serves on several prestigious advisory boards, including the Global Future Council on Advanced Manufacturing and Value Chains at the World Economic Forum (WEF), the Board of Governors of the Manufacturing Leadership Council of the National Association of Manufacturers (NAM), and the Board of Trustees of MTConnect. He is also a senior advisor to McKinsey & Company.

Previously, Dr. Lee served as Vice Chairman and Board Member of Foxconn Technology Group (2019–2021), where he helped guide multiple business units to earn six WEF Lighthouse Factory Awards. He has also held roles as Director of Product Development and Manufacturing at United Technologies Research Center (now Raytheon Technologies Research Center) and as a Program Director at the National Science Foundation.

Dr. Lee is a Fellow of ASME, SME, the PHM Society, and ISEAM. He serves as Editor-in-Chief of the IOP Journal of Machine Learning: Engineering. He was named one of the “30 Visionaries in Smart Manufacturing” by SME in 2016, one of the “20 Most Influential Professors in Smart Manufacturing” in 2020, and received both the SME Eli Whitney Productivity Award and the SME/NAMRC S.M. Wu Research Implementation Award in 2022. His book Industrial AI was published by Springer in 2020.




 

Categories