Artificial Intelligence for Industry and Societies

Societies and industries are facing many challenges to be even more intelligent and sustainable. In this context, many good practices and approaches are being explored, and several new contributions are daily produced. In this context, many good practices and approaches are being investigated, and several unique contributions are daily proposed without being disseminated. So, the track “Artificial Intelligence for Industry and Societies” wants to overcome this gap.

A smart society looks to citizens problems and tries to maximise the use of innovative technologies and collaboration across multiple sectors to create more efficient, intelligent, and adaptable services. In this context emerges the concept of smart cities that coalesce smart infrastructures with human needs through community services. Connected and efficient cities and communities can lead to informed, engaged, and contented citizens. However, to have a smart society is also required to have intelligent industries. Industry 4.0 consists of the digital transformation of manufacturing/production, related sectors, and value creation processes. It represents a new stage in the organisation and control of the industrial value chain where Artificial Intelligence has a vital role through the automation of processes, prediction and reduction of errors and failures.

The evolution of Industry and Societies must be holding hands requiring a multi-disciplinary endeavour, where technology and Artificial Intelligence are in this area as a bonding element for each of the services it sustains.

This track intends to link researchers and professionals able to explore new solutions applied to society and Industry. It will further explore and present paradigms, solutions, or best practices to be implemented in the real world. It represents a new era of disseminating knowledge by showing how scientific knowledge can be transferred to society and applied in the industry using Data Science and Artificial Intelligence approaches. IA4IS is open to several contributions in both areas like cognitive computing platforms and applications, including technologies and infrastructures related to Artificial Intelligence, machine learning, as well as big data processing and data analytics.

This track is supported by the research project ioCity (NORTE-01-0247-FEDER-045397). The best papers will be invited to submit an extended version to the MDPI Future Internet Topical Collection “Innovative People-Centered Solutions Applied to Industries, Cities and Societies.


The topics of interest include, but are not limited to: 

  • Business, Industry and Smart Factory
    • Advanced data visualisation and data management techniques and solutions
    • Advanced interactive technologies, including augmented/virtual reality
    • Advanced mechanical engineering technologies with Machine Learning
    • Artificial intellect
    • Augmented reality with artificial Intelligence
    • Authentication, data security and protection
    • Automation and intelligent robotics
    • Cyber-physical systems with AI
    • Internet of Things modules, platforms and applications applied to Industry
    • Mobile and wearable devices with AI modules.
    • Smart factory, production technologies and systems
    • Smart sensors
  • Sustainable and Smart Cities and Societies
    • Big data, open data, and analytical tools
    • Bring Your Own Device (BYOD) solutions
    • Disaster management
    • Internet of Things (IoT) for smart cities
    • Responsible innovation
    • Smart buildings
    • Smart economy
    • Smart energy
    • Smart governance
    • Smart grids infrastructures
    • Smart Living, Wellbeing, and healthcare
    • Smart people
    • Smart sensing
    • Smart Transportations and urban mobility
    • Technological infrastructure for smart cities support
    • Web/mobile solutions with AI

Organisation Committee

  • Filipe Portela, Department of Information Systems, University of Minho, Portugal
  • Teresa Guarda, CIST Research and Innovation Centre of Universidad Estatal de la Península de Santa Elena, Equador
  • Valentina Lenarduzzi, University of Oulu, Oulu, Finland
  • Beatriz de la Iglesia, School of Computing Sciences, University of East Anglia, Norwich, England

Program Committee

  • Alberto Simões, Instituto Politécnico de Cavado do Ave, Portugal
  • Alfonso González-Briones, University of Salamanca, Spain
  • Ana Azevedo, ISCAP, P. Porto, Portugal
  • Antoni Morell, Universitat Autònoma de Barcelona, Spain
  • Antonio HJ Moreira, Instituto Politécnico de Cavado do Ave, Portugal
  • Chiara Braghin, University of Milan, Italy
  • Cihan Tunc, University of North Texas, USA
  • Cristina Alcaraz, University of Malaga, Spain
  • Daniel Urda Muñoz, Universidad de Burgos, Spain
  • Elisabetta Raguseo, Grenoble Ecole de Management, France
  • Fabrizio Messina, University of Catania, Italy
  • Fadila Bentayeb, Lyon University (Lyon 2), France
  • Felix J. Garcia Clemente, University of Murcia, Spain
  • Filipe Mota Pinto, Polytechnic Institute of Leiria, Portugal
  • Francesco Montomoli, Imperial College London, UK
  • Frank-Peter Schilling, Zuerich University of Applied Sciences, Switzerland
  • Fridolin Wild, The Open University, UK
  • George Stalidis, International Hellenic University, Greece
  • Hanmin Jung, Korea Institute of Science and Technology Information, Korea
  • Henrique Santos, University of Minho, Portugal
  • Inna Skarga-Bandurova, Oxford Brookes University, UK
  • Ioan M. Ciumasu, Université de Versailles, France
  • Johannes Winter, National Academy of Science and Engineering, Germany
  • Jorge Bernardino, Polytechnic Institute of Coimbra, Portugal
  • José Machado, University of Minho, Portugal
  • Juan-Ignacio Latorre-Biel, Public University of Navarre, Spain
  • Manuele Kirsch Pinheiro, Research Center on Computing Science, France
  • Michela Piccarozzi, Unitus, Italy
  • Muhammad Younas, Oxford Brookes University, UK
  • Nelson Rodrigues, DTx – Ditigal Transformation CoLAB, Portugal
  • Nikolaos Matsatsinis, Technical University of Crete, Greece
  • Nuno Vasco Lopes, Digital Transformation CoLAB, Portugal
  • Omid Fatahi Valilai, Jacobs University Bremen, Germany
  • Rafael Angarita, Institut supérieur d’électronique de Paris, France
  • Rajeev Kumar Kanth, University of Turku, Finland
  • Sarvnaz Karimi, Commonwealth Scientific and Industrial Research Organisation, Australia
  • Sergio Ilarri, University of Zaragoza, Spain
  • Spyros Panagiotakis, Hellenic Mediterranean University, Greece
  • Vicente Ferreira de Lucena Junior, Federal University of Amazonas, Brazil
  • Wei Zhou, ESCP Europe, France