Cyber-Physical Systems and Digital Twins (CPS/DT)

Cyber-Physical Systems and Digital Twins (CPS/DT)

Track chairs:

Cyber-Physical Systems (CPS) and Digital Twins (DT) are pivotal in modern technological advancements, with applications ranging from autonomous vehicles and smart manufacturing to precision healthcare and smart energy systems. The integration of CPS and DT brings forth numerous challenges due to the complex behavior of heterogeneous components interacting with each other and their environments. Digital twinning, in particular, is a transformational trend that enables real-time synchronization of a digital model with its physical counterpart, providing descriptive, diagnostic, predictive, and prescriptive functionalities. These functionalities are often enabled by simulation, making the development of accurate and efficient simulators crucial.

This track invites submissions that address the development, integration, and application of CPS and Digital Twins, with a focus on new approaches in Modeling and Simulation (M&S) to support the development and operation of these systems throughout their lifecycle, including design, verification, and operational phases. Researchers and practitioners are invited to share their innovations, addressing key challenges and demonstrating solutions across diverse application domains. It aims to provide a forum for researchers and practitioners to exchange their latest results and experiences 

Submissions may address topics either in the broader context of cyber-physical systems or focus specifically on digital twins, including but not limited to:

  • Applied modelling and (co-)simulation
  • Simulation-based digital twins
  • Model creation and recommendation systems
  • Collaborative modelling and simulation
  • Machine learning, data analytics and data-driven development techniques
  • Low-code development techniques
  • Architectural patterns of simulators in digital twinning
  • Fidelity, scalability, reliability, trust, and security of simulators
  • Standards, standardization, and certification of simulators 
  • Verification, Validation, and Uncertainty Quantification (VVUQ)
  • Techniques for handling uncertainty, reliability, and explainability
  • (Co-)simulation-based verification, optimization, and monitoring
  • Digital twins for dynamic system (re)configuration and optimization
  • Digital twins in support of the Digital Thread
  • Human factors in digital twins, such as simulation for or by the human-in-the-loop, digital twins as a training environment, etc.
  • Case studies, industry applications, and experience reports