FINAL CONFERENCE

INVITATION AND CALL FOR EXTENDED ABSTRACTS: INTERNATIONAL FINAL CONFERENCE OF THE PLANET4 PROJECT

The final conference of the PLANET4 project with a focus on perspectives in filling the gap between scientific research on Artificial Intelligence (AI) and Machine Learning (ML) and its industrial application as enabling technology for the Industry 4.0 paradigm, will be held on the 2nd of October 2023 in Pisa (Largo Bruno Pontecorvo 3, Computer Science Department, University of Pisa), Italy. 

THE PURPOSE OF THE CONFERENCE

The conference will provide an excellent international forum for the dissemination of original research results, new ideas and practical development experiences which concentrate on both theory and practices of academics, researchers, engineers and industry professionals. It aims to bring together researchers and scientists from academia, industry, and research centres to present results of ongoing research, exchange ideas and identify future research directions focusing on the following areas:

  • Industry 4.0
  • Data Science, Artificial Intelligence and Machine Learning
  • Internet of Things and Industrial Internet of Things
  • Cloud and Edge Computing

Registration to the conference: https://forms.gle/dpojGyqExyF45GMK7.

EXTENDED ABSTRACT INVITATION AND CONFERENCE THEMES

We are excited to offer you the opportunity to present your work and share your insights with fellow industry professionals. Your contribution to the conference will be greatly appreciated, and we believe that your research work will be of great interest to our attendees.

The extended abstract should be up to 3 pages long and should showcase your research in the field of Industry 4.0 and Beyond. To submit your extended abstract, please use one of the following templates:

Extended abstract template (Word)Download
Extended Abstract Template (Latex)Download

Upload the extended abstract in the following submission link.

We encourage you to submit your abstract at your earliest convenience, as we have limited spots available.

The authors of the accepted extended abstracts will be timely notified in order to present their work during the conference.

All the accepted papers will be invited to extend the contribution to a full paper that will be submitted for a special issue “Artificial Intelligence on the Edge for Industry 4.0” from the Applied Sciences Journal edited by MDPI: https://www.mdpi.com/journal/applsci/special_issues/6K3I8Y9183

All submissions will be reviewed by experts in the field based on the criteria of originality, significance, quality, and clarity. 

We are seeking extended abstracts that align with the conference theme and cover a broad range of topics, including but not limited to:

Industry 4.0 and beyond

  • Smart manufacturing and automation
  • Digital twins
  • Augmented and virtual reality
  • Cybersecurity in Industry 4.0
  • Blockchain technology
  • Sustainable manufacturing
  • Human-machine collaboration
  • Additive manufacturing
  • Industry 4.0 and the digital transformation of manufacturing
  • Collaborative robots (cobots)
  • Ethics and social impact
  • Education, Innovation and Change Management in Industrial sector

Data Science, Artificial Intelligence and Machine Learning

  • Deep learning
  • Explainable AI and trustworthiness
  • Computer vision
  • Supply chain optimization
  • Quality control and defect detection
  • Energy management and optimization
  • Robotics and automation
  • Natural language processing for customer service
  • Fraud detection and prevention
  • Cybersecurity and threat detection
  • Big data analytics for industry
  • Optimization of industrial processes
  • Precision agriculture
  • Predictive maintenance

Internet of Things and Industrial Internet of Things

  • Smart cities and IoT
  • Industrial automation and the IIoT
  • IoT-enabled smart homes
  • IoT and environmental monitoring
  • IoT and supply chain management
  • IoT and cybersecurity in industrial environments
  • IoT analytics and machine learning
  • 5G and the IoT
  • IoT and IIoT connectivity technologies and standards
  • IoT and IIoT interoperability and integration with legacy systems and protocols

Cloud and Edge Computing

  • Edge computing use cases and applications across different industries
  • Cloud and edge security challenges and solutions
  • Distributed systems and data management in the cloud and at the edge
  • Edge computing hardware and software platforms and their integration with the cloud
  • Cloud and edge performance and scalability challenges and solutions
  • Edge computing architectures and their integration with cloud providers
  • Edge computing and cloud computing interoperability and integration
  • Edge computing and cloud computing for real-time and mission-critical applications
  • Fog computing and its relationship to cloud and edge computing
  • Edge computing for mobile and wireless networks

IMPORTANT DATES

  • Extended abstract submission deadline: 28 July, 2023
  • Review decision notifications: 31 August, 2023
  • Final paper submission deadline: 22 September, 2023
  • Conference: 2 October, 2023

MORE INFORMATION

Organizing Committee

  • Daniele Mazzei, Università di Pisa (Italy) – Conference Chair
  • Roberto Figliè, Università di Pisa (Italy)
  • Dorota Stadnicka, Rzeszów University of Technology (Poland)
  • Chrysostomos Stylios, University of Ioannina (Greece)
  • Joan Navarro, Universitat Ramon Llull (Spain)

Scientific Committee

  • Anna Carreras Coch, Universitat Ramon Llull (Spain)
  • Grzegorz Dec, Rzeszów University of Technology (Poland)
  • Roberto Figliè, Università di Pisa (Italy)
  • Joan Navarro, Universitat Ramon Llull (Spain)
  • Daniele Mazzei, Università di Pisa (Italy)
  • Lamprini Pappa, University of Ioannina (Greece)
  • Łukasz Paśko, Rzeszów University of Technology (Poland)
  • Jarosław Sęp, Rzeszów University of Technology (Poland)
  • Dorota Stadnicka, Rzeszów University of Technology (Poland)
  • Chrysostomos Stylios, University of Ioannina (Greece)
  • Tomasz Żabiński, Rzeszów University of Technology (Poland)
  • Marios Tyrovolas, University of Ioannina (Greece)
  • Xavier Solé-Beteta, Universitat Ramon Llull (Spain)

If you have any questions regarding your extended abstract submission, please, contact directly the organizers:

Daniele Mazzei, Assoc. Prof.

Department of Computer Science, University of Pisa

Phone: 050 2212779

e-mail: daniele.mazzei@unipi.it

Roberto Figliè

Department of Computer Science, University of Pisa

e-mail: roberto.figlie@phd.unipi.it

More information on the event, the linked activities is coming soon.

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PLANETt4 – Practical Learning of Artificial Intelligence on the Edge for indusTry 4.0 project enables a knowledge transfer between academia and industry. The main purpose of this international project is to train a new generation of AI and ML on the edge experts who will contribute to the spreading of the I4.0 real practices in the EU companies by enabling the use of AI and ML for the optimization of industrial processes.

The project PLANET4 is co-funded by the Erasmus+ Programme of the European Union.

PROJECT NO. 621639-EPP-1-2020-1-IT-EPPKA2-KA