Introduction

Digital twin, as a recent iconic phrases of fashions, has been coined and broadened somewhat in that it is now being extensively applied, or rather used, to characterize a variety of digital simulation models that run alongside real-time processes that pertain to social and economic systems as well as physical systems since its inception. It is even conceivable that latency between when data is received from the basic system and when the users closest to the system can use is often short enough to enable good corrective actions. Progress towards digital twins will surely enable us to gain ever deeper insights into the nature of reality and its virtual form. How close we can get to the real thing is a collective exploration we are about to embark upon as a society.

The 2023 IEEE International Conference on Digital Twin will provide a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-art advances and innovations on Digital Twin, as well as to identify emerging research topics and define the future of Digital Twin. We seek submissions of papers which invent new techniques, introduce innovative methodologies, and propose new research directions in advanced digital twin theories, methods, implementations, and applications.

Topics

Track 1: Digital Twin Fundamentals

    Concepts and theories
    Architecture and frameworks
    Methodology, lifecycle and processes
    Data-driven based modelling and technologies
    Simulation based approach and technologies
    Multi-physics and multi-scale simulation
    Model-based system engineering
    Computational dynamic modelling and simulation
    Dynamic prediction and projection

Track 2: Digital Twin Interaction and Communication

    Physical/Virtual twin communication, e.g. real-time or off-time
    Physical/Virtual twin interaction, e.g. adaptability
    Distributed digital twin systems
    Digital twin interoperability
    Cooperative/Collaborative digital twin
    Digital twin network and organisation
    Distributed machine learning for digital twins
    Twins and user interactions
    User interface for digital twin

Track 3: Digital Twin Security and Privacy

    Threat modelling in digital twin
    Cybersecurity for digital twin
    Cross-layer defence for digital twin
    Digital twin for cybersecurity
    Privacy protection in digital twin
    Blockchain-based digital twin

Track 4: Digital Twin Systems and Applications

    Development tools and platforms
    Standardization and regulation
    Servitization of digital twin
    Automation and manufacturing
    Healthcare
    Smart Cities and transportations
    Automotives and aerospace
    Sustainable Energy