Digital Twin technology
- Submission status
- Closed
- Submission deadline
A Digital Twin revolution is on the horizon. A Digital Twin is defined as “a set of virtual information constructs that mimics the structure, context and behaviour of an individual or unique physical asset, that is dynamically updated with data from its physical twin throughout its life-cycle, and that ultimately informs decisions that realize value.” (AIAA, Digital Twin: Definition & Value).
Originally born for aerospace applications, Digital Twins have now been employed in a variety of engineering sectors: from construction to automotive, from healthcare to aerospace, from software engineering to cyber physical systems and blockchains. This Collection will showcase interdisciplinary research and development in Digital Twin technology.
Editors
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Jiewu Leng
Guangdong University of Technology, China
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Wilson W.S. Lu
University of Hong Kong (HKU), China
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Xun Xu
University of Auckland, New Zealand
Jiewu Leng is an Associate Professor from Guangdong University of Technology, China. His current research interests include blockchain, smart manufacturing, and digital twin. He has published five ESI 1% highly-cited papers on IEEE Transactions on Systems, Man, and Cybernetics: Systems, etc. He has chaired several Special Sessions in International conferences including IEEE ICMA 2015, IEEE ICNSC 2018, and CIRP iPS2 2019. He has won two first prizes of the Guangdong Provincial Science and Technology Award. Prof Leng joined Scientific Reports as an Editorial Board Member in 2021.
Wilson W.S. Lu is Professor in the Department of Real Estate and Construction, Faculty of Architecture, the University of Hong Kong (HKU). He holds a BSc of Computer Science and an MSc of Construction Economics and Management. He was awarded his PhD by the Hong Kong Polytechnic University (HK PolyU) in 2006. His research interests focus on Construction Management with three clear directions - international construction (international competitiveness, strategic management, procurement innovation, and corporate social responsibility), construction informatics (Building Information Modelling, smart construction, and big data) and construction waste management (management, economics, and public policies). Prof Lu joined Scientific Reports as an Editorial Board Member in 2021.
Xun Xu is a Professor at the University of Auckland, heading the Laboratory for Industry 4.0 Smart Manufacturing Systems (LISMS). He has a PhD in manufacturing from the University of Manchester and has been working in the field of smart manufacturing for about 40 years. Beyond Industry 4.0, his research interests include cloud manufacturing, cyber-physical production systems, STEP-compliant CAD/CAPP/CAM (STEP-NC) and digital twins. Prof Xu joined Scientific Reports as an Editorial Board Member in 2021.
