Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation

Track Chairs
Daswin De Silva, La Trobe University

Daswin De Silva

La Trobe University, Australia
Stamatis Karnouskos, SAP

Stamatis Karnouskos

SAP, Germany

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
  • 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
  • Unsupervised learning and latent representations
  • Networked Adaptive Systems
  • Intelligent Interfaces to Smart Distributed Systems, AI Powered
  • Smart Interfaces
  • Industrial Conversational Agents
  • Machine Learning for Production
  • Algorithms for Diagnosis and Repair
  • Self-configuration and self-optimization
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