Discussions about the future positive impact of AI in every day life have drown out discussions of the current accomplishments and future potential of AI in developing the smart cities of the future. Current cities are facing significant challenges in coping with an aging infrastructure, reducing carbon emissions and energy consumption, integrating renewables, enhancing health services, reducing traffic and diminishing ambient noise. AI have a transformational role to play in addressing these challenges, by enabling the integration of information technologies with the city physical assets ensuring greener, safer and more efficient urban environments. In a smart city, it is expected that large amounts of data will be available about its operation at each particular time instance. In addition, its complexity, i.e. being a system comprised of numerous heterogeneous subsystems, mandates a high level of operational accuracy in order to be stable and reliable. The scope of this Track is to explore applications of artificial intelligence tools that find wide use in utilization and management of city assets and thus contributing in the autonomous, reliable and efficient operation of a smart city.

Topics of Interest (not limited to)

Smart Grids

Smart Energy Systems

Smart Healthcare

Smart Mobility

Cybersecurity for Cities

Smart Cars

Smart Transportation

Smart Meters

Smart Sensors

Parameter Prediction and Forecasting

Big Data Mining in Cities

Monitoring and Surveillance Technologies

Control of Cyber-Physical Systems

Applications of Constraint Programming

Multi-Agent Simulation

Knowledge Representation in Asset Management

Smart Houses

Physical Asset Security