Deusto Institute of Technology (DeustoTech)

Deusto Institute of Technology (DeustoTech) is the Research Institute of Technology at the University of Deusto. It conducts research mainly in the field of Information and Communication Technologies (ICTs), with a special focus on areas of knowledge such as Artificial Intelligence, Internet of Things, Cybersecurity, Cyberphysical Systems, Positioning Systems, Co-Creation and Circular Economy applied to different sectors such as Industry, Mobility, Energy & Environment and Societal Challenges.

Research proposals shall cover the following lines:

Energy & Environment:

This application area aims to design ITC-based solutions that will allow to move towards more sustainable and efficient environments and cities, working collaborately with companies and public administrations. Our scientific-technological capabilities include: environment, smart grids for the supply and management of urban services, and advanced maintenance and operation systems.

Mobility:

This application area focuses on ITC research applied to transport, mobility of people and logistics. Our transfer activity related to the development ITS Intelligent Transport Systems and Smart Mobility Platforms, contributes to making the mobility of individuals and objects more sustainable, smarter and more comfortable. Our scientific-technological capabilities include: soft computing applied to ITS, smart mobility and seamless positioning systems

Industry:

This application area is focused on transformation into a digital, smart and safe industry. We question the state of the art in order to meet the challenges faced by industry in its transformation towards a more sustainable and competitive model. Our scientific-technological capabilities include: data analytics and cyberphysical systems.

CCM:

The Chair of Computational Mathematics of DeustoTech aims to develop an active research, training and outreach agenda in Applied Mathematics. It is committed with the development of ground-breaking research in the areas of Partial Differential Equations, Control Theory, Numerical Analysis and Scientific Computing; key tools for technological transfer and for the interaction of mathematics with other scientific disciplines such as biology, engineering, social, earth and climate sciences.

Societal Challenges:

This application area aims at using basic and applied research to make ITCs available to society and citizens, and contribute to building a better world. Our scientific/technological capabilities are: heterogeneous data management, intelligent environment enablement and user-driven computing. This year the COVID19 boosts us to look for solutions focused on fostering older adults to live safely and independently at home for longer.