TT 10 - Industrial Informatics: Cloud Computing, Big Data, AI, Informatics and Software Engineering

Track Chairs:

  • Yan Zhang, University of Oslo, Norway

  • Daswin de Silva, La Trobe University, Australia

  • Yudong Zhang, University of Leicester, UK

  • Marco Porta, University of Pavia, Italy

Topics of interest include, but are not limited to:

  • Machine Learning
  • Learning and Generalisation in Industrial Informatics
  • Automated Machine Learning
  • Deep Learning in Industrial Technology
  • Online Learning from Data Streams
  • Machine Learning on Edge Devices
  • Embedded Vision in Industrial Informatics
  • Interpretability and Explainable Machine Learning
  • Computer Vision in Industrial Informatics
  • Text, Image, Audio, Video and Social Media Applications in Industrial Informatics
  • Reasoning on Internet of Things (IoT)
  • Reinforcement Learning in Industrial Informatics
  • Cloud Computing
  • Big Data
  • Data Analysis and Extraction
  • Industrial Database Applications
  • Service Oriented Architecture
  • Software Engineering Methodologies and Techniques

Track Program Committee:

  • Dr. Andrea Dunbar, CSEM, Switzerland
  • Prof. Carsten Wittenberg, University of Heilbronn, Germany
  • Prof. Chau Yuen, Singapore University of Technology and Design, Singapore
  • Dr. David Tormey, Atlantic Technological University, Ireland
  • Prof. Giancarlo Iannizzotto, University of Messina, Italy
  • Prof. Hongning Dai, Hong Kong Baptist University, China
  • Dr. Javier Silvestre-Blanes, Universitat Politècnica de València, Spain
  • Prof. Jianhua He, Essex University, UK
  • Prof. Joanna Olszewska, University of West Scotland, UK
  • Dr. Michał Kawulok, Silesian University of Technology, Poland
  • Dr. Mirto Musci, University of Pavia, Italy
  • Mr. Mohammad Azangoo, Aalto University, Finland
  • Prof. Paulo J.S. Gonçalves, Instituto Politécnico de Castelo Branco, Portugal
  • Dr. Tullio Facchinetti, University of Pavia, Italy
  • Prof. Yuan Wu, University of Macau, China
Back to Technical Tracks Home
< Previous Next >