Smart Manufacturing - The Way Forward: Some of My Thoughts
Research Seminar Series
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Date
26 Sep 2024
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Organiser
Department of Industrial and Systems Engineering, PolyU
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Time
10:00 - 11:30
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Venue
BC305
Speaker
Prof. Liu Ying
Summary
With the arrival of cyber-physical systems or the Internet of Things era, the massive human- and machine-generated data have created unprecedented challenges and at the same time unmatched opportunities in advancing the theory, methods, tools and practice of data analytics for manufacturing. In this talk, I will first introduce the concept and scope of Manufacturing Informatics and its rising interest in different communities in the past few years. I will then describe some of my recent research efforts on researching and deploying advanced data analytics for smart manufacturing. I shall close my talk by highlighting some interesting and critical future research issues, especially on the way forward for smart manufacturing.
Keynote Speaker
Prof. Liu Ying
Professor in Intelligent Manufacturing
Department of Mechanical Engineering in the School of Engineering at Cardiff University, UK
Dr Ying Liu is currently a Professor and Chair in Intelligent Manufacturing and the Group Leader for High-value Manufacturing with the Department of Mechanical Engineering in the School of Engineering at Cardiff University, UK. His research interests focus primarily on digital and smart manufacturing, AI and machine learning for design and manufacturing, engineering informatics, design methodology and process, and advanced ICT in design and manufacturing, in which areas he has published over 250 scholarly articles, one edited book and more than 25 special issues. He serves as Senior Editor with the Journal of Engineering Design, Associate Editors with ASME JCISE, IEEE T-ASE, Journal of Industrial and Production Engineering (Taylor & Francis), CCF Transactions on Pervasive Computing and Interaction (Springer) and Autonomous Intelligent Systems (Springer), and is on the Editorial Board of Advanced Engineering Informatics (Elsevier) and Scientific Reports (Springer Nature).
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