Jay Lee Clark Distinguished Professor& Director of Industrial AI Center Department of Mechanical Engineering University of Maryland College Park (USA) Title:Trends and Recent Advances of Industrial AI and Data-Centric Metrology for Smart Resilient Manufacturing

This presentation will introduce the trends and recent advances of Industrial AI for improved resilience of complex and highly connected manufacturing systems. First, trends of data-centric industrial systems and unmet needs of productivity are introduced. Next, some recent advances of industrial AI and non-traditional machine learning including topological data analytics, stream-of-quality (SoQ) based data analytics, similarity -based machine learning, domain adaptation and transfer learning, etc. for highly connected and complex industrial systems will be introduced with some examples including advanced semiconductor manufacturing, etc. Furthermore, the development of Industrial Large Knowledge Model for enhanced data-centric engineering education will be discussed. Finally, we will address the training industrial AI skills through data foundry for future workforce and talents.

Dr. Jay Lee is Clark Distinguished Professor and Founding Director of Industrial AI Center in the Mechanical Engineering of the Univ. of Maryland College Park. His current research is focused on developing non-traditional machine learning technologies including transfer learning, domain adaptation, similarity-based machine learning, stream-of-x machine learning, as well as industrial large knowledge model (ILKM), etc. In addition, he is leading AI Foundry and Data Foundry which consist of over 30 different machine learning analytic tools and 100 diversified industrial datasets including semiconductor manufacturing, jet engines, wind turbine, EVs, high speed train, machine tools, robots, medical TBI, etc. for rapid development and deployment of AI.

Previously, he was the founding director of 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 and the Center was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He mentored his students and developed a number of start-up companies including Predictronics through NSF iCorps in 2013. He has developed Dominant Innovation® methodology for product and service innovation design.

He is a member of Global Future Council on Advanced Manufacturing and Production of the World Economics Council (WEF), a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM), Board of Trustees of MTConnect, as well as a senior advisor to McKinsey.He served as Vice Chairman and Board Member for Foxconn Technology Group (during 2019-2021 and had advised Foxconn business units to successfully receive six WEF Lighthouse Factory Awards. He also served as Director for Product Development and Manufacturing at United Technologies Research Center (now Raytheon Technologies Research Center) as well as Program Director 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, and received SME Eli Whitney Productivity Award and SME/NAMRC S.M. Wu Research Implementation Award in 2022. His new book on Industrial AI was published by Springer in 2020. He is also a working group member for the recent Report on AI Engineering by NSF Engineering Research Visionary Alliance (ERVA) in 2024. He also serves as Editor- in-Chef for IOP Science Journal Machine Learning: Engineering.

	Thapanee Sarakonsri Associate Professor, Doctor Department of Chemistry, Faculty of Science, Chiang Mai University (Thailand) Title: Toward Sustainable Energy Storage: Biomass to Efficient Anodes for Next-Gen Batteries

1999-2002 PhD (Material Science and Engineering)
Michigan Technological University, Houghton, U.S.A.
1996-1999 M.S. (Metallurgical Engineering)
Michigan Technological University, Houghton, U.S.A
1990-1994 B.S. (Chemistry)
Khon Kean University, Khon Kean, Thailand

Fields of Speciallization: Chemical synthesis and characterization of nanoparticles metals, graphene,
porous carbon, and silicon/silica-base composites from biomass for renewable energy applications
especially anode materials for high performance lithium-ion batteries

Professional Experience record:
June 1994 - July 1996 Lecturer, Department of Chemistry, Chiang Mai University, Thailand
March-April 1999, Jan-April 2000, Sept-Nov 2000 Visiting Researcher, Chemical Technology Division,
Argonne National Laboratory, Illinois, USA
June-Oct 2008 Visiting Researcher, Chemical Department, Imperial College, London, UK
May 2002-2006 Lecturer, Department of Chemistry, Chiang Mai University, Thailand
2007-2012 Assistant Professor, Department of Chemistry, Chiang Mai University, Thailand
2013-present Associate Professor, Department of Chemistry, Chiang Mai University, Thailand

83 International Publications and 3 book chapters in High Energy Density Lithium Batteries, Materials,
Engineering, Applications, K.E.Aifantis, S.A. Hackney and R.V.Kumar, Wiley-VCH, 2010 and Rechargeable
Ion Batteries: Materials, Design, and Applications of Li-Ion Cells and Beyond, K.E.Aifantis, R.V.Kumar, and
Pu Hu, Wiley-VCH, 2022

Bronze Medal Award for the invention "Highly porous carbon and nano silicon-based materials from biomass for use as anode materials in lithium- and sodium-ion batteries." at the 50th International Exhibition of Inventions Geneva 2025

	Denis Noble Professor Emeritus Professor of Physiology & Pioneer of Systems Biology Department of Physiology, Anatomy and Genetics University of Oxford (UK) Title: Born of Water, Built on Silicon. Are we so different in Intelligence?

Denis Noble published the first mathematical model of pacemaker processes in the heart in Nature in 1960, so opening the way to the development of electronic pacemakers, since the process can be electrically driven. He became the Professor of Cardiovascular Physiology at Oxford University, where his team identified multiple electric processes responsible for maintaining heart rhythm. He is a Fellow of The Royal Society and recipient of the Lomonosov Grand Gold Medal of the Russian Academy of Sciences. He is author of many books, including The Music of Life (OUP 2006), Dance to the Tune of Life (CUP 2016) and Understanding Living Systems (CUP 2023).