Research Lines

Computer Vision

From Gabor filters to Deep Neural Networks, modelling the visual cortex

The main objective of computer vision is to provide the visual and cognitive abilities of human beings to artificial systems. To this end, computer vision methods and algorithms rely on modeling how the human visual cortex interprets images and videos sequences.

Through the identification of the objects in an image, their dimensions and relative position to the camera, computer vision is capable of extracting characteristics of the objects or people. Such analysis allows to subsequently identify objects and persons as well as to interpret the actions that occur in the scene.

Intelligent Autonomous Robots and Systems (IAR&S)

Bringing revolutionary benefits to society, while facing important societal challenges
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Orlando Avila GarcíaSoftware Architect

Intelligent Autonomous Robots and Systems Research Line coordinates ARI research and innovation activity related to autonomous systems and intelligent automation, be it research and innovation on the technologies themselves or their application in specific vertical markets, or in relation to other technologies or solutions.

We are interested on the kind of systems designed to automate (replace) human decision-making and problem-solving capabilities. Intelligent autonomous systems encompass cyber-physical systems which attain goals in open-ended physical environments:


Developing bioinformatics tools for genomics analysis

Nearly all living organisms share the same genetic codification (DNA) made by four chemical units. With this 4-letter language, DNA contains all the information needed for building an entire organism. Every human cell has approximately three billion letters.

Massive genomics and biomedical data generation are producing a flood of data that has given rise the field of bioinformatics.

Bioinformatics is a multidisciplinary field that involves computer science, mathematics, biomedicine and statistics.


Linking innovation with distributed ledger technologies

Blockchain Research Line coordinates ARI research activity related to distributed ledger technologies, be it research on the technologies themselves, improvements, linking with other technologies, and also research about applications of blockchain in specific vertical markets, or in relation to other technologies or solutions. Coordination means to be aware of any action and decide when conflict of interest arises.

The main objective of the Research Line is acting as a reference point:

Software Engineering

Improve your productivity, release better quality software
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Jesús Gorroñogoitia CruzResearch Line Expert

  • Model Driven Software Engineering (Design-Time)
    • MDA/MDE forward engineering techniques and methods applied to the specification, program-comprehension, re-engineering (design-pattern driven) of software systems and code synthesis.
  • Software modeling and simulation (Run-time)
    • Research on techniques and methods that enable the specification and modeling of concerns on complex software systems and their simulation at model level, exploring the solution space.