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

Track Program Committee

► Alessandro Biondi, Scuola Superiore Sant’Anna
► Daniele De Martini, Dept of Engineering Science, University of Oxford
► Florian Pethig, Fraunhofer IOSB-INA
► Giorgio Buttazzo, Scuola Superiore Sant’Anna
► Guido Benetti, University of Pavia
► Jaeho Lee, University of Seoul
► Letizia Marchegiani, Dept of Engineering Science, University of Oxford
► Maki K. Habib, The American University in Cairo
► Marco Piastra, University of Pavia
► Mark Mattingly-Scott, IBM
► Mauro Marinoni, Scuola Superiore Sant’Anna
► Milos Manic, Virginia Commonwealth University
► Mohammad Al Faruque, University of California
► Orfefs Voutyras, ICCS/NTUA
► Paolo Fiorini, Università di Verona
► Paulo Jorge Sequeira Goncalves, Instituto Politecnico de Castelo Branco
► Peng Li, Ostwestfalen-Lippe University of Applied Science
► Stamatis Karnouskos, SAP
► Thilo Steckel, Claas
► Veera Ragavan, Monash University
► Zhaodan Kong, University of California Davis

Track co-chairs

Tullio Facchinetti
University of Pavia, Italy
tullfacc@unipv.it
Oliver Niggemann
Helmut Schmidt University, Germany

oliver.niggemann@hsu-hh.de

Download the Track CfP

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.

Topics:

  • 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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