Digital Twin Core Technologies

Aims & Scope

This special session focuses on the foundational technologies that enable robust, scalable, and intelligent digital twin systems, such as modelling, multi-modal sensing, 5G/6G, IoT, edge computing, and AI. The goal is to bring together researchers and practitioners who are advancing the core methods, algorithms, and architectures that define the next generation of digital twins. This session seeks contributions that address fundamental challenges in modelling, data management, real-time synchronization, interoperability, intelligence, and validation of digital twins. Of particular interest are works that propose generalizable principles, reusable frameworks, and cross-domain technologies that can serve as building blocks for digital twin ecosystems.

The session will focus on the following aspects:

  • • Digital twin architectures and platforms
  • • Modelling and simulation foundations
  • • Multi-modal data sensing and fusion
  • • IoT for connection and synchronization
  • • Cloud-edge-device computing
  • • AI and analytics for digital twins
  • • Prediction, anomaly detection, and diagnosis methods
  • • Trustworthy, secure, and explainable twins
  • • Digital twin-enabled smart service systems
  • • Lifecycle management and automation
  • • Cross-domain and large-scale digital twin ecosystems

Call for Presentations

Call for Presentations is now open. We welcome researchers and industry professionals to  submit their presentation proposals.

Please see the Call for Presentations for details.


Session Chairs

Presentations

  • Title: To be confirmed
    Abstract Title: To be confirmed