The first Workshop on
AI for Digital Twins and Cyber-physical applications

In conjunction with IJCAI 2023
the 32nd International Joint Conference on Artificial Intelligence

August 19th 2023, Macao, S.A.R

Topics of interest



The availability of easy-to-deploy sensors and the general advances in the Internet of Things (IoT) technology have led to the emergence of new applications that seamlessly blend the physical and digital worlds. Notwithstanding this trend, there are still open issues. A major one, due to the heterogeneity of the several models involved, is dealing with the complexity of the physical world to develop and deploy intelligent services that continuously perceive and learn from data coming from the environment.
The idea gained traction among both academic institutions and industry players, revitalising the Digital Twin technology that enables the creation of virtual replicas of physical objects by mirroring their properties, data and behaviors and enabling new intelligent and augmented functionalities such as modelling, simulation, and cognitive capabilities.
We believe that Artificial Intelligence (AI) will transform the field of Digital Twin technology by enabling the creation of intelligent virtual replicas that may offer smart services and lead to adaptive AI in cyber-physical environments.
Overall, AI can be used to enhance the performance, safety, and security of Digital Twin and cyber-physical systems by making them more intelligent, adaptive, and autonomous. The results can be better control, optimisation, and prediction of the Cyber-Physical systems. Digital Twin and cyber-physical systems can be enhanced with AI in several ways since AI enables real-time monitoring and control of physical systems with the possibility of delivering intelligent services with applications in several domains, such as:
  • Predictive modelling: AI-powered digital twins can predict the behaviour of physical systems under different conditions, helping to identify potential issues or inefficiencies in the physical system before they occur.
  • Anomaly detection: AI-powered digital twins can analyse sensor data from the physical system in real-time, using machine learning techniques to identify anomalies or deviations from normal behaviour.
  • Digital Human Replica: Building virtual replicas of humans that reproduce and model both outer and inner aspects of a human being, such as physical and physiological characteristics, personality, sensitivities, thoughts and skills.
  • Optimisation: AI-powered digital twins can analyse sensor data and other inputs to optimise the performance of the physical system (e.g., by adjusting the control parameters to minimise energy consumption or maximise production efficiency).
  • Autonomous control: AI-powered digital twins can be used to control a physical system autonomously, using sensor data and other inputs to make real-time decisions.
  • Safety and security: AI-powered digital twins can be used to monitor and analyse sensor data to detect security threats or unsafe conditions in the physical system and to trigger appropriate responses.
  • Big Data Applications: Big data frameworks can be leveraged to make sense of huge data collections and provide the digital twins with further features, analysis, graphs.
At the same time, incorporating machine learning models into digital twin systems can be critical when monitoring or controlling critical systems.

Machine Learning Operations (MLOps) approaches are attracting increasing interest to ensure that intelligent models are deployed robustly and reliably, especially when exploiting Continual Learning or Reinforcement Learning techniques.
The workshop aims to bring together experts in the fields of Artificial Intelligence, Digital Twin technology, and Cyber-Physical systems to explore the latest developments and best practices in the use of AI-based digital twins for a wide range of cyber-physical services and applications.

Topics of interest

Topics of interest of AI4DT&CP include, but are not limited to, the following:
  • What-if scenarios with Cyber-Physical applications
  • MLOps in Cyber-Physical systems
  • Digital Twin intelligence management
  • Digital Twins modelling for AI for physical augmentation
  • Cyber-Physical application and MLOps for anomaly detection
  • Digital Twins for synthetic data generation in Cyber-Physicall applications
  • Predictive Maintenance in Cyber-Physical systems
  • Intelligent Digital Twins for optimisation use cases (Smart cities, smart buildings, environmental monitoring)
  • Digital human replica with AI
  • Cyber-Physical application with AI in healthcare
  • Digital Twins for continual learning scenarios
  • Reinforcement Learning in Cyber-Physical applications


The workshop will be held on August 19th during IJCAI 2023.

August 19th

Welcome and Opening Remarks

Towards Machine Learning-Based Digital Twins in Cyber-Physical Systems

Felix Theusch, Lukas Seemann, Achim Guldner, Stefan Naumann and Ralph Bergmann.

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology

Sagar Srinivas Sakhinana, Shivam Gupta, Krishna Sai Sudhir Aripirala and Venkataramana Runkana.

Coffee break

Neuro-Symbolic Digital Twins for Precision and Predictive Public Health

Gayo Diallo

Re-imagining health and well-being in low resource African settings using an augmented AI system and a 3D digital twin

Deshendran Moodley and Christopher Seebregts

Closing remarks

Important dates

Submission deadline: May 2,2023 May 21,2023
Paper notification: June 4,2023
Camera-ready: July 5,2023
Workshop: August 19-21,2023


Papers can be submitted as PDF using EasyChair:

Papers must comply with the CEURART paper style (1 column) and can fall in one of the following categories:
  • Full research papers(minimum 7 pages)
  • Short research papers(4-6 pages)
  • Position papers(2 pages)

The CEURART template can be found on Overleaf at:

Accepted papers (after blind review of at least 3 experts) will be included in a volume of the CEUR Workshop Proceedings. We are also planning to organize a special issue and the authors of the most interesting and relevant papers will be invited to submit and extended manuscript.
At least one author of each accepted paper must travel to the IJCAI venue in person
Multiple submission of the same paper to more IJCAI workshops are forbidden


Workshop organizers

Speaker 1

Gianfranco Lombardo

University of Parma, Italy

Speaker 2

Marco Picone

University of Modena and Reggio Emilia, Italy

Speaker 3

Diego Reforgiato Recupero

University of Cagliari, Italy

Speaker 4

Giuseppe Vizzari

University of Milano-Bicocca, Italy

Program Committee

  • Panos Pardalos - University of Florida, USA
  • Phu Nguyen - SINTEF, Norway
  • Mattia Pellegrino - University of Parma, Italy
  • Maria Chiara Magnanini, Polytechnic of Milan, Italy
  • Ralph Bergmann - University of Trier, Germany
  • Seonho Park - Georgia Tech, USA
  • Claudio Ferrari - University of Parma, Italy
  • Alam Mehwish, Telecom Paris, France
  • Marco Lippi - University of Modena and Reggio Emilia, Italy
  • George Adosoglou - University of Florida, USA
  • Alessandro Ricci - University of Bologna, Italy
  • Torben Weis, University Duisburg-Essen, Germany
  • Fabrizio De Vita - University of Messina, Italy
  • Samy El-Tawab, James Madison University, Harrisonburg, USA
  • Tomaso Fontanini - University of Parma, Italy
  • Ruben Alonso - R2M Solution s.r.l., Italy
  • Carlo Giannelli - University of Ferrara, Italy

Contact for information