Track 10 – Artificial Intelligence for Cyber-Physical Systems in Automation

Track Program Committee

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Track co-chairs

Tullio Facchinetti
University of Pavia, Italy
Oliver Niggemann
Institut für industrielle Informationstechnik, Hochschule Ostwestfalen-Lippe, Germany

Focus: Focus of this track are methods, technologies and case studies which leverage on cyber-physical systems to provide smart capabilities such as self-configuration, self-optimization and self-diagnosis.


  • Distributed Architectures for Adaptive Systems
  • Autonomous Cyber-Physical Systems
  • Self-Adaption and Self-Organization for Smart Factories, Smart Cities, Smart Buildings and Smart Energy
  • Deep learning and Self-Optimizing Cyber-Physical Systems
  • Grey-box machine learning
  • Real-time implementation of AI in automation
  • Knowledge representation and ontologies
  • Automatic system configuration
  • Networked Adaptive Systems
  • Intelligent Interfaces to Smart Distributed Systems, AI-Powered Smart Interfaces
  • Machine Learning for Production
  • Algorithms for Diagnosis and Repair
  • Self-configuration and self-optimization

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