IEEE 7th World Forum on Internet of Things
14 June–31 July 2021 // New Orleans, Louisiana, USA

Track 14.4

AI-IIoT: The Future of Intelligent Industry

Important Dates

Paper submission deadline: March 22, 2021
Paper acceptance notification: April 13, 2021
Camera-ready submission: April 30, 2021


  Download the Call for Papers


    Paper Submission



The fusion of Artificial Intelligence (AI) and the Industrial Internet of Things (IIoT) is transforming the Industry and creating a new frontier of connected machines. These technologies, combined with manufacturing and other industrial processes, are driving unprecedented levels of efficiency, productivity, and performance to achieve the ultimate goal of the Intelligent Industry. IIoT applications, empowered with AI, include 1) factory automation for operational efficiency, 2) location tracking for locating tools, parts, and inventory, 3) and predictive maintenance to maximize uptime and increase disaster tolerance.


This workshop focuses on emerging topics to allow for a lively exchange of ideas and crossing the gap between Academia and Industry for empowering the Industry.


Topics of interest include, but are not limited to:

  • Innovative IIoT sensing and machine crowdsourcing applications
  • Tools for building and measuring IIoT systems
  • Innovative Connected Machines
  • Novel software architectures for IIoT Edge devices
  • Data management for IIoT applications
  • System-level energy management for IIoT Edge devices
  • Real-time embedded operating systems for IIoT devices
  • Security and privacy in IIoT networks
  • Resource-efficient AI for IIoT Architectures
  • Virtual or Augmented Reality for Industrial Applications
  • AI and Deep Learning in real-time monitoring and control
  • Imaging in IIoT visualization and user experience
  • Camera sensor fusion in IIoT
  • Non-traditional topics that bring new perspectives to IIoT
  • Robust learning using adversarial attacks on IIoT networks
  • Collaborative federated learning-based for IIoT devices
  • Decentralized deep reinforcement learning for IIoT systems
  • Low-energy short-memory deep vision networks on resource-constrained IIoT edge devices

Paper Submission Guidelines

All final submissions should be written in English with a maximum paper length of six (6) printed pages see web conference for instructions. Papers must be submitted through See conference web page for instructions:

Special Session Chairs:

  • Sameh Sorour, Queens University, Canada
  • Hina Tabassum, York University, Canada
  • Mohamed Shehata, University of British Columbia, Canada
  • Ahmed Refaey, Manhattan College, USA

Technical Program Committee:

  • Juanita Koilpillai, Waverley Labs, USA
  • Nabil Abdennadher, University of Applied Sciences, Western Switzerland
  • Ronald Martin, Capitol Technology University, USA
  • Fuad Shamieh, Evertz Microsystems, Canada
  • Radwa Sultan, Manhattan College, USA
  • Ahmed Shalaby, Louisville University, USA
  • Wafaa Elmannai, Manhattan College, USA
  • Mohamed Abdelpakey, UBC, Canada
  • Ali Helmi, Louisville University, USA
  • Sara Zimmo, Western University, Canada
  • Agwad ELTantawy, UBC, Canada
  • Sabin Bhandari, Western University, Canada
  • Fahmi Khalifa, Louisville University, USA
  • Ruslan Kain, Queen’s University, Canada
  • Umair Mohammed, Florida International Univ., USA
  • Mohammed Saif, UBC, Canada
  • Amr Zaki, Queen’s University, Canada
  • Hocine Ait Saadi, Universite Blida, Algeria
  • Waleed Mohamed, Virtek Vision, Canada