SCOPE

Recently, with the successful development and the deployment of Internet of Things (IOT) architectures, cities across the world are becoming smart Cities. As result, many services ensured by each city, such as education, transportation, buildings, healthcare, agriculture and environment are becoming more and more intelligent. However, the emergence of the coronavirus (COVID-19) as a global pandemic in recent months has shown the limitation of the intelligent solutions that are already deployed to ensure a sustainable and livable city for citizens.

Indeed, with the exponential growth of number of infected people and rapid spread of the virus over different continents, the attitudes and behaviors concerning both private users and business users have shifted. In this context, the use of Artificial Intelligence (AI) for developing intelligent IoT solutions represents a promising way to deal with Coronavirus or other pandemic. Through the convergence of technologies incorporating, sensors, smart connected objects, data analytics and data visualization, we can solve many real-life problems in smart cities, especially those that are caused directly by this pandemic.

In this workshop, we are focusing on AI and IoT that currently affect smart cities in general around the world. For this, the objective of this workshop is to bring together researchers to discuss recent algorithms and solutions based on IoT and AI.

TOPICS

Authors are invited to submit previously unpublished papers to this workshop. Topics include, but are not limited to:

• Artificial intelligence based protocols and services for smart cities

• Artificial intelligence based application for smart cities

• Artificial intelligence for smart education

• Artificial intelligence for smart environment

• Intelligent control of smart grid

• Artificial intelligence for smart transportation

• Intelligent control for smart cities

• Intelligent control of building

• Optimization in IoT

• IoT-enabled urban services

• Machine learning for IoT

• Deep learning for IoT