Specialization Tracks

Focus on monitoring, control and automation of manufacturing processes, for ensuring product quality levels, and for environmental monitoring and support to the management of that same environment.

Students will be able to use artificial intelligence specifically for:

• Analysis of industrial and environmental data.
• Extraction of information and knowledge regarding the quality and characteristics of products.
• Analysis of signals and images in a manufacturing and environmental context.
• Management of industrial or environmental production processes.
• Management of smart and adaptive environments (e.g. smart buildings, smart cities, smart infrastructures).
• Management of manufacturing processes and smart environments in support of sustainability.

Focus on smart embedded systems for various areas of application, including consumer electronics, medical devices and systems, prosthetics, motor vehicles and transport. Students will gain a specialised understanding in the use of artificial intelligence to develop intelligent adaptive behaviours, and cultivating organic interactions between humans and machines.

Students will be able to use artificial intelligence specifically for:

• Analysis of data coming from sensors and human-system interfaces.
• Extraction of information and knowledge regarding the behaviour of the embedded system and the environment in which it operates.
• Extraction of information and knowledge from user interactions.
• Analysis of signals and images in smart embedded systems.
• Decision-making support in the corresponding areas of application.

Focus on collecting and analysing multi-sensor data, both in the field of environmental monitoring through observations of the Earth and sensor networks, as well as in the healthcare arena, providing decision-making support through the analysis of biomedical images and signals.

Students will be able to use artificial intelligence specifically for:

• Multi-sensor management.
• Collecting and processing of signals and images, with specific care about the physical phenomena and the physical meaning of the data.
• Extraction of information and knowledge about the state of the environment and its evolution.
• Extraction of information and knowledge about the health of patients.
• Medical diagnostic devices.
• Tools for environmental observation.
• Decision-making support in the corresponding application areas.

Focus on identification, modelling, and analysis of complex physical systems (including quantum systems) as well as for the processing of information using quantum techniques.

Students will be able to use artificial intelligence specifically for:

• Analysis of data and knowledge for modelling complex systems.
• Extraction of characteristic behaviours of complex systems.
• Simulation of the behaviour of complex systems.
• Design and development of quantum algorithms to support artificial intelligence.