Information

Submission Deadline: June 20, 2026
Notification Date: TBA

Session Chair

Sara Montagna, Department of Pure and Applied Science - University of Urbino Carlo Bo, Italy
Samuele Burattini, Department of Computer Science and Engineering - Alma Mater Studiorum University of Bologna, Italy
Marco Picone, Department of Sciences and Methods for Engineering (DISMI) - University of Modena and Reggio Emilia

Goals of the Session

Digital Twins (DT) combined with Internet of Things (IoT) technologies are enabling advanced representations of Cyber-Physical Systems (CPS), supporting monitoring, analysis, and intelligent decision-making across complex environments. By integrating sensing, data analytics, and simulation, DT-driven systems provide enhanced visibility and predictive capabilities throughout the system lifecycle.
This special session focuses on the design, development, and application of Digital Twins and simulation techniques for intelligent IoT and CPS. Emphasis is placed on how simulation supports modeling, prediction, and system optimization, as well as on the integration of heterogeneous data sources and technologies within cohesive DT frameworks.
The session aims to bring together contributions addressing architectures, methodologies, and real-world applications of DT-enabled systems, highlighting challenges such as scalability, interoperability, data integration, and system intelligence.

Topics of interest include, but are not limited to:

• Digital Twin modeling and simulation for IoT and CPS
• Architectures for DT-enabled intelligent systems
• Integration of IoT, data analytics, and simulation in DT frameworks
• Predictive modeling and system optimization using Digital Twins
• Interoperability and integration of heterogeneous components
• Simulation-supported monitoring and control of CPS
• Intelligent IoT applications enabled by Digital Twins
• Digital Twins in smart industry, healthcare, logistics, and energy systems
• Case studies and practical implementations of DT-based solutions