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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.


SPECIAL SESSIONS LIST

DTE 2025Special Session on Digital Twin Engineering
Chair(s): Philipp Zech and Souvik Barat

Special Session on Digital Twin Engineering - DTE 2025

Paper Submission: December 18, 2024
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025


Co-chairs

Philipp Zech
University of Innsbruck
Austria
e-mail
 
Souvik Barat
Tata Consultancy Service Research
India
e-mail
 
Scope

Digital Twin Engineering emphasizes the rigorous modeling of physical, cyber, and socio-economic systems through virtual replicas, facilitating their simulation, analysis, and optimization. This special session will highlight advanced approaches to digital twin modeling, including multi-physics simulations, system dynamics, and hybrid models that integrate both physical and data-driven representations. Key areas of exploration include the challenges of achieving accurate real-time synchronization between models and physical systems, leveraging AI for adaptive modeling, and validating these models for industrial and socio-economic applications. By advancing digital twin modeling methodologies, the session aims to foster innovations that improve system design, operational efficiency, and predictive capabilities across sectors like manufacturing, healthcare, and urban infrastructure.


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