From Reality to Representation: Digital Twins and their Role in Future Research


18 Sept.			16:00 - 17:30

ROOM 25

INDUSTRY 4.0
TT.VIII - Technical Parallel Track Sessions
From Reality to Representation: Digital Twins and their Role in Future Research
Session organized by Polytechnic University of Turin Chair: Giulia MASSAGLIA, Polytechnic University of Turin
Digital Twins are emerging as a powerful paradigm to bridge the gap between the physical and digital worlds. Far beyond static models or offline simulations, Digital Twins are dynamic, continuously updated virtual counterparts of real systems - capable of supporting real-time monitoring, predictive analytics, and prescriptive decision-making. Their relevance spans from manufacturing to healthcare, from infrastructure management to biological systems. This symposium will open with a plenary lecture by Professor Andrea Matta from Politecnico di Milano, who will provide a comprehensive overview of the Digital Twin concept. Drawing from both historical foundations and recent research, Professor Matta will discuss key features, architectures, and classifications of Digital Twins - illustrating their transformative potential with practical examples from ongoing projects in the field of production systems and industrial automation. Following the plenary, the symposium will feature a series of short presentations by early-career researchers, highlighting innovative applications, methodological challenges, and interdisciplinary perspectives on the use of Digital Twins in various domains. The goal is to foster dialogue between established expertise and emerging ideas, and to explore how Digital Twins are shaping the future of research across disciplines.
The symposium is part of WS.I and YoungInnovation (FE.II)
TT.VIII.D.1 WS.I.8.1 FE.II.16.1	Introductive Keynote Andrea MATTA - CV Polytechnic University of Milan Digital Twins: Features, Models, and Services
TT.VIII.D.2 WS.I.8.2 FE.II.16.2	Miriana SOMENZI - CV PIN Foundation Digital twins for cultural heritage: Enabling AI-Driven knowledge representation and preservation 1/2
TT.VIII.D.3 WS.I.8.3 FE.II.16.3	Aida HIMMICHE - CV PIN Foundation Digital twins for cultural heritage: Enabling AI-Driven knowledge representation and preservation 2/2
TT.VIII.D.4 WS.I.8.4 FE.II.16.4	Alessia MASTROLEMBO VENTURA - CV University of Messina Towards Intelligent Monitoring of Oceanic Systems: A Predictive Model for Hydrothermal CO₂ in the Panarea System
TT.IV.D.5 WS.I.8.5 FE.II.16.5	Federica Viola DEL PANTANO - CV University of Bologna Transcriptomic Analysis in In Vitro Models of Mitochondrial Diseases