Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation

Track Chairs

Tullio Facchinetti, University of Pavia

Tullio Facchinetti

University of Pavia, Italy
Lukasz Wisniewski, Technische Hochschule Ostwestfalen-Lippe

Lukasz Wisniewski

Technische Hochschule Ostwestfalen-Lippe, Germany

Download Call for Papers

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The track focuses on theoretical formulations, technical developments, practical applications, methods, and industrial case studies that leverage Artificial Intelligence (AI), Machine Learning (ML), Data Analytics, and emerging AI and ML-based technologies for the automation and optimization of Cyber-Physical Systems in an industrial context. We are seeking contributions that demonstrate how these methods can address existing challenges in the industry, such as resource optimization (energy, water, compressed air, etc.), the optimization and reconfiguration of technical systems, enabling quicker and more cost-efficient operation, providing necessary assistance in dealing with technical issues, including the detection and diagnosis of anomalies. Additionally, these contributions can assist in the secure maintenance of complex, often heterogeneous systems and the optimization of technical processes.

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
  • Generative AI Based Assistance Systems for Better Decision Making
  • AI based Approaches to Support Security