Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation

Track Chairs
Tullio Facchinetti, University of Pavia

Tullio Facchinetti

University of Pavia, Italy
Liviu Miclea, Technical university of Cluj-Napoca

Liviu Miclea

Technical university of Cluj-Napoca, Romania

Download Call for Papers

Click here to download the track cfp.

Focus

The track is focused on theoretical formulations, technical developments, practical applications, methods and case studies that leverage Artificial Intelligence, Data Analytics and Emerging Technologies for the automation and optimization of Cyber-Physical Systems in smart factory settings.

Topics under this track include (but not limited to)
  • Distributed Architectures for Adaptive Systems
  • Autonomous Cyber-Physical Systems
  • Deep Learning and Self-Optimizing Cyber-Physical Systems
  • Real-time Implementation of AI in Automation
  • Knowledge Representation and Ontologies
  • Machine Learning for Production
  • Natural Language Processing Applications in Automation
  • Unsupervised Learning and Latent Representations
  • Grey-box Machine Learning
  • Networked Adaptive Systems
  • Algorithms for Diagnosis and Repair
  • Self-Configuration and Self-Optimization
  • Self-Adaption and Self-Organization for Smart Factories
  • Automatic System Configuration
  • Dependability of Cyber-Physical Systems
  • Intelligent Interfaces to Smart Distributed Systems
  • AI Powered Smart Interfaces
  • Industrial Conversational Agents
  • Smart Cities, Smart Buildings and Smart Energy Systems
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