IoTI4 2021

3rd International Workshop on IoT Applications and Industry 4.0

To be held virtually

July 14-16, 2021

co-located with IEEE DCOSS 2021

ANNOUNCEMENT: We are pleased to announce an online competition that will take place as part of the IoTI4 international workshop for the first time. Prospective participants are invited to design and develop a machine learning model capable of performing anomaly detection in either one of the following scenarios:

  • For the first scenario, the associated model should be capable of detecting anomallies in the provided dataset of network traffic data.
  • In the second scenario, given images of traffic signs that have been maliciously modified, the developed model should be capable of detecting which images are malicious with high precision.

For additional information and registration instructions, please visit the competition's website.

Important Dates

Paper Submission: May 21 31, 2021

Acceptance Notification: June 11 14, 2021

Camera Ready (firm, no extensions): June 18, 2021


It is evident that IoT is entering multiple fields of everyday life. The proliferation of IoT devices as well as the numerous use cases reveal the very promising potentials of IoT in revolutionizing several aspects of common activities as well as business processes. The vision of interconnecting billions of devices in a holistic network, where machines communicate along with traditional human communications is now being realized, towards the formation of the Internet of Everything (as called by Cisco). The workshop focuses on Industrial Internet of Things systems and applications, which represent the highest value segment of the IoT market. The heavy research endeavors of last years have provided efficient solutions and enhanced technologies that enable the creation of such a network, overcoming several challenges stemming from the special attributes of device-to-device communications, embedded devices, and big data management.

The new challenge is to identify efficient ways of integrating IoT technologies in contemporary applications exploiting the potentials of real-time monitoring, interactive control, self-management, and data analytics towards “smart” behavior and enhanced performance.

The main scope of the “IoT Applications and Industry 4.0” (IoTI4) workshop is to identify and promote new techniques for the realization of promising IoT applications in various areas, including Industry 4.0 scenarios.

Sponsored By

Organizing Committee

Thomas Lagkas, International Hellenic University, Greece

Panagiotis Sarigiannidis, University of Western Macedonia, Greece

John Soldatos, INTRASOFT International, Luxemburg

Topics of Interest

The topics of interest revolve around IoT techniques (including networking, platforms, middleware, data analysis, security) for all applications such as:

  • Industry 4.0
  • Smart Electric Grids
  • Smart Farming
  • Environmental Telemetry
  • Smart City
  • Smart Home
  • Renewable Energy
  • Remote E-health
  • Vehicular Networks
  • Autonomous Vehicles
  • Flying Networks
  • Sensor Networks
  • Wearables
  • Smart Retails and Supply Chain
  • Industrial Internet of Things Architectures
  • Design and Implementation of Cyber Physical Production Systems
  • Multi-Sensor Systems for Automated Data Collection in Industrial Environments
  • Industrial Internet of Things Systems that comprise Smart Objects (Drones, Robots, Autonomous Guided Vehicles)
  • Performance Analysis and Evaluation of Industrial Internet of Things Systems
  • Cybersecurity in Industrial Internet of Things Environments
  • Framework for Convergence of IT and OT Security
  • Distributed Data Analytics for Machine Intelligence
  • Industrial IoT Technologies for Flexible Production Lines
  • Internet of Things Analytics for Digital Simulations and Digital Twins
  • Analytics for Production Monitoring
  • Advanced Machine Learning and Artificial Intelligence Approaches for Industrial Use Cases
  • Industrial IoT Use Cases like digital automation, predictive maintenance and zero defect production
  • Industrial IoT cases studies in sectors like manufacturing, energy, oil & gas, mining and supply chain management