Important Dates

Workshop Proposal

July 15, 2022

Paper Submission

September 01, 2022
September 20, 2022

Author Notification

October 15, 2022
October 24, 2022

Camera-Ready Submission

November 09, 2022
November 14, 2022

Conference Date

December 15-18, 2022

Sponsored and supported by

Call For Papers

Download CFP: PDF

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 2022 IEEE International Conference on Digital Twin (Digital Twin-2022) originates from the 5th IEEE International Conference on Smart City Innovations (SCI 2021). The IEEE Digital Twin-2022 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.

Digital Twin 2022 topics include but are not limited to the following:

  • Track 1: Modeling & Simulation
  • – Data-driven digital twin modeling
    – Mechanism-driven digital twin modeling
    – Event driven simulation
    – Multi-agent simulation
    – Real-time simulation
    – Distributed simulation
    – Model-based system engineering
    – Multi-disciplinary collaboration
  • Track 2: Technologies & Applications
  • – Physical entity perception
    – Communications
    – Cyber-physical system
    – Data mining
    – Incremental learning methods
    – Smart services/application
    – Model reuse
    – Model composition
    – Metaverse
  • Track 3: Evaluation & Optimization
  • – Verification, Validation, and Accreditation
    – Model Maturity analysis
    – Online evaluation
    – White/Grey/Black box model evaluation
    – Parameter optimization
    – Physical/Digital part optimization
    – Model evolution
  • Track 4: System & Management
  • – Deployment
    – Database
    – Model library
    – Multi-disciplinary model integration
    – Management platform
    – Cloud-edge-assisted system
    – Adaptive and intelligent systems
  • Track 5: Security & Privacy
  • – Threat modeling in Digital Twin-based applications and scenarios
    – Cybersecurity for Digital Twin protection
    – Digital Twin for Cybersecurity
    – Privacy issues and approaches
    – Trustworthy Digital Twin interoperability and communications


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