4th International Workshop on IoT Applications and Industry 4.0 (IoTI4 2022)
in conjunction with the
18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022) {technically co-sponsored by IEEE}
Los Angeles, CA, USA
May 30 - June 1, 2022

It is planned as a full in person event, in an excellent venue (the Marina del Rey Marriott Hotel), which pays special attention to hygiene and safety. In parallel to the physical event, remote presentations may be exceptionally allowed in special cases (such as travel bans, if applicable).

***Important Dates***
Paper Submission: April 8, 2022 (firm deadline)
Acceptance Notification: April 22, 2022
Camera Ready: April 25, 2022 (firm deadline)

***Website***
http://ioti4-2022.cs.ihu.gr/

Prospective authors are invited to submit high-quality original technical papers reporting original research of theoretical or applied nature for presentation at the workshop. All papers will be reviewed and evaluated by independent experts and selected based on their originality, merit, and relevance to the workshop. Accepted and presented papers will be published as part of the IEEE DCOSS 2021 conference proceedings and submitted to IEEE Xplore.
Submissions will be made using the EasyChair system. The workshop submission link is https://easychair.org/conferences/?conf=ioti42022.

***Aim and Scope***
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.

***Topics of Interest (not limited to)***
The topics of interest revolve around IoT techniques (including networking, platforms, middleware, data analysis, security) for all applications such as:
- Industry 4.0/5.0
- 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 Environment.
- Industrial Internet of Things Systems that comprise Smart Objects (Drones, Robots, Autonomous Guided Vehicle)
- 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
- Digital Circular Economy

***Organizing Committee***
- Thomas Lagkas, International Hellenic University, Greece
- Panagiotis Sarigiannidis, University of Western Macedonia, Greece
- John Soldatos, INTRASOFT International, Luxemburg

***Technical Program Committee (to be confirmed)***
Vasileios Argyriou (Vasileios.Argyriou@kingston.ac.uk)
George Eleftherakis (eleftherakis@city.academic.gr)
Ivana "Podnar Zarko" (ivana.podnar@fer.hr)
Paolo Bellavista (paolo.bellavista@unibo.it)
Matina Bibi (sbibi@uowm.gr)
Pierluigi Petrali (pierluigi_petrali@whirlpool.com)
Urko Zurutuza (uzurutuza@mondragon.edu)
Konstantinos Rantos (krantos@teiemt.gr)
Konstantinos Loupos (konstantinos.loupos@inlecomsystems.com)
Jie Zhang (jie.zhang@sheffield.ac.uk)
Carlo Giannelli (gnncrl@unife.it)
Dimitris Karampatzakis (dkara@cs.ihu.gr)
Panagiotis Diamantoulakis (padiaman@auth.gr)
Roger Chamberlain (roger@wustl.edu)
Xiaoyong Yuan (xyyuan@mtu.edu)