Towards Industrial Large Models and Digital Twins
This talk presents a comprehensive exploration of advancements in industrial large models and digital twin technologies led by the CogTwins Lab at Shandong University of Science and Technology (SDUST). The research addresses critical areas in intelligent manufacturing, emphasizing equipment fault prediction, prognostics health monitoring, and process optimization through multimodal data integration.
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- Date: 11 Feb 2025
- Time: 08:00 PM UTC to 09:00 PM UTC
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Towards Industrial Large Models and Digital Twins
Biography:
Dr. Jiehan Zhou is a Professor and Director of International Education and Research Programs at the School of Computer Science at Shandong University of Science and Technology and a Docent in the Department of Electronics and Information Engineering at the University of Oulu, Finland. He has a rich academic background and professional experience, having obtained a Ph.D. in Mechanical Automation from Huazhong University of Science and Technology in 2000 and a Ph.D. in Computer Engineering from the University of Oulu, Finland in 2011. He has worked at renowned research institutes and universities such as Tsinghua University, VTT Technical Research Centre of Finland, INRIA in France, Luxembourg Institute of Science and Technology (LIST), University of Oulu, and University of Toronto, Canada with over 20 years of international research experience across three continents. He has held positions such as Senior Scientist, Team Leader, Laboratory Director, General Manager of an Industrial Internet company in Germany, and Principal Engineer at a Research Institute on Cloud Computing in Canada. He also serves as a visiting professor at Huazhong University of Science and Technology. His research falls in the fields of Industrial Large Models and Industrial Digital Twins. He has published more than 150 technical papers in intelligent manufacturing, system modeling and simulation, industrial internet.