Track chairs
Lukasz Wisniewski
inIT/TH-OWL, Germany
Stefano Scanzio
CNR-IEIIT, Italy
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 (AI), Machine Learning (ML), Data Analytics, AI/ML-based Technologies, and Emerging Technologies for the automation and optimization of Cyber-Physical Systems in smart factory settings.
Topics under this track include:
Distributed Architectures for Adaptive Systems
Autonomous Cyber-Physical Systems
Self-Configuration, Self-Adaption and Self-Organization for Smart Factories
Smart Cities, Smart Buildings and Smart Energy enhanced by AI
Grey-box machine learning
Real-time implementation of AI in automation
Knowledge representation and ontologies
AI-based Approaches to Support Security in Cyber Physical Systems
Unsupervised learning and latent representations
Networked Adaptive Systems and AI-based Network Digital Twins
AI Powered Intelligent Interfaces to Smart Distributed Systems
Industrial Conversational Agents
Machine Learning and Deep Learning for Production
Algorithms for Predictive Maintenance, Diagnosis, and Repair
Explainable and Trustworthy AI in Industrial Cyber-Physical Systems
Natural Language Processing Applications in Automation
Dependability of Cyber-Physical Systems