[Apologies, if you receive multiple copies of this CFP]

 IEEE 7th World Forum on Internet of Things 20-24 June 2021
New Orleans, Louisiana, USA
Theme: The Impact of Artificial Intelligence on IoT [AI-IIoT Workshop: The Future of Intelligent Industry] (in conjunction with WF-IoT 2021)

=================== Call For Papers=========================================
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:
• 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 resourceconstrained IIoT edge devices
 Innovative IIoT sensing and machine crowdsourcing applications

=================== Important Dates=========================================

Paper submission deadline: Feb 21, 2021
Paper acceptance notification: March 21, 2021
Camera-ready submission: April 21, 2021

=================== Paper Submission=========================================

The workshop accepts only novel, previously unpublished papers.  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 https://epapers.org/wf-iot2021/ESR/login.php<https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fepapers.org%2Fwf-iot2021%2FESR%2Flogin.php&data=04%7C01%7Csameh.sorour%40queensu.ca%7Cca586066125d4e04017e08d8d0424226%7Cd61ecb3b38b142d582c4efb2838b925c%7C1%7C0%7C637488330314684890%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=n2guUtz1mIhwQhV0VSnRul0UUZWeaYjyZRjrDzvcPEs%3D&reserved=0>. See conference web page for instructions: https://wfiot2021.iot.ieee.org/authors-proposers/<https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwfiot2021.iot.ieee.org%2Fauthors-proposers%2F&data=04%7C01%7Csameh.sorour%40queensu.ca%7Cca586066125d4e04017e08d8d0424226%7Cd61ecb3b38b142d582c4efb2838b925c%7C1%7C0%7C637488330314684890%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000&sdata=Diz73FKT8qO8vIzpQAWTiKqcrk5WT5rcJIK1ZaTevKs%3D&reserved=0>

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

Best Regards,

Sameh Sorour, PhD, SM-IEEE
Assistant Professor
Director of Queen’s CASTLE Lab
Goodwin Hall, 734
25 Union St. W, Kingston, ON, K7L 3N6, Canada
Tel: +1 (613) 533 2767 | Web: Homepage<http://www2.cs.queensu.ca/people/profile.php?fname=Sameh&lname=Sorour>



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