The main objective of this line is the design and simulation of innovative computing platforms that provide more efficient support in terms of performance, energy consumption and manufacturing cost, to the necessary computing power demanded by current and future societal applications.

Bioinformatics is a multidisciplinary field based on the development and implementation of purely computational methods and their exploitation for the processing and analysis of huge amounts of biological data in order to provide useful knowledge with the aim of solving biological and/or medical challenges.

Scientific progress has been, and will continue to be, a remarkable source of global prosperity. High Performance Computing (HPC) has a key role to play in enabling this scientific progress, as it allows the efficient development of scientific applications capable of performing huge amounts of computation on massive amounts of data. In this line of research, we seek to develop massively parallel applications and architectures to meet the new challenges facing society.

Knowledge management at different levels (raw data obtained from sensors or mobile devices, aggregate data information or semantic or meaning knowledge of the received information) is a discipline that is nowadays linked to all activities and processes that take place within the information society. This area ranges from the storage, management and processing of huge amounts of raw data that make up the new stream of data analysis called Big Data to the elicitation of knowledge from human experts which must then be introduced to machines to make them behave intelligently.

Process and system innovation in civil engineering generally requires the application and/or development of mechanical models to achieve appropriate design solutions within a framework of economy and sustainability. In this sense, the research line in computational mechanics is aimed at the design and control of structural systems of different types based on their numerical simulation and experimental analysis using advanced computational techniques.

Predictive simulation of the structural properties of materials is of great importance in applications such as microelectronics or nuclear energy. In this line of research, we are looking for physical models that describe the evolution of flaws and compositions in the targeted materials. For this purpose, we use a multi-scale scheme that couples atomistic models and continuous models.

In the area of multimedia technologies, we base our research on image, sound and radio communications, applying telecommunications to improve the quality of life of people in present-day societ. In particular, we have the following main fields of research: internet of things and smart cities, acoustics and digital sound processing, electromagnetic behaviour of materials and radio systems.

The aim of this research line is the development of infrastructures and sustainable territorial models that are compatible with the environment, as well as the application of techniques that help solve the problems of natural resource depletion. It also covers the development and optimisation of the management of resources which, while respecting the environment, favour an efficient use of energy, favour the conservation of available resources through their reuse and recycling, and reduce the environmental impact caused by the waste generated through different techniques. Its objectives also include the analysis of the influences the territory has on the behaviour of urban settlements, buildings and infrastructures, particularly with regard to seismic phenomena. In addition, it analyses materials, techniques and construction units in the field of building and civil engineering, both in the new construction phase and in the intervention phase, with special emphasis on their sustainable factors.

This research group develops and applies analysis and calculation methodologies and procedures to determine the magnitudes and parameters of hydrological variables, both for the design and sizing of works, as well as for the correct management of water resources.