2nd International Workshop on IoT Applications and Industry 4.0 (IoTI4 2020)
in conjunction with the
16th International Conference on Distributed Computing in Sensor Systems (DCOSS 2020) {technically co-sponsored by IEEE}

Due to the COVID-19 pandemic, IoTI4 2020 will be held in an ONLINE manner, without physical attendance. Still, all accepted papers will be included in the IEEE Proceedings as planned, in the same volume with the main event.

*Reduced registration fee for all authors: $180*

***Important Dates***
Paper Submission: April 30, 2020 (extended/ONLINE)
Acceptance Notification: May 21, 2020
Camera Ready: June 10, 2020

***Website***
https://ioti4-2020.web.uowm.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 and publication in the IoTI4 2020 Proceedings. 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 2020 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=ioti42020.

Authors of extended versions of selected papers will be invited for inclusion in the Special Issue “IoT Applications and Industry 4.0” hosted by the journal “Internet of Things; Engineering Cyber Physical Human Systems” (Elsevier).

***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
- 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

***Organizing Committee***
- Thomas Lagkas, International Hellenic University, Greece
- Panagiotis Sarigiannidis, University of Western Macedonia, Greece
- John Soldatos, Athens Information Technology, Greece

***Technical Program Committee (to be updated)***
- Vasileios Argyriou, Kingston University, UK
- Paolo Bellavista, University of Bologna, Italy
- Stamatia Bibi, University of Western Macedonia, Greece
- George Eleftherakis, The University of Sheffield International Faculty - CITY College, Greece
- Carlo Giannelli, University of Ferrara, Italy
- Fabrizio Granelli, University of Trento, Italy
- Dimnitris Karampatzakis, International Hellenic University, Greece
- George Koutitas, Texas State University, USA
- Konstantinos Loupos, INLECOM, Greece
- Pierluigi Petrali, Whirlpool Europe Srl, Italy
- Ivana Podnar Zarko, University of Zagreb, Croatia