Research in the field of Augmented Reality, where real world information is increased with synthetic information. Augmented Reality systems require position locators, creation of synthetic information (usually 3D environments), and systems that integrate the real world with the synthetic one.
Methodological developments and applications for the measurement of non-response in surveys and for the correction of their effects, especially the biases that can be introduced in the inferential process.
Large database analysis in which there are three characteristics that make them special: growth velocity, variety in the data classes and volume.
Administrative information on the Internet, transparency, active advertising, right of access and its limits, especially with regard to data protection and privacy.
Discovery of individual behaviours from aggregated information.
Application and development of models for electoral prediction.
Analysis of the projection of freedoms on the net and social networks, judicial guarantees, limits, special focus on hate speech.
We are currently working on forms of knowledge representation that allow the supervision of the students tasks resolution, as well as the incorporation of affective support through the detection of emotions by means of typical techniques within the field of computer vision
Application of automatic learning techniques for problems with prediction, classification and recognition of patterns or trends.
Development of human-computer interaction technologies making use of different communication channels between user and computer.
Methodological and software developments to find solutions to the problem of partial non-response in surveys and gaps in databases.
Extraction of structured information and knowledge from the analysis of free texts and a priori unstructured information.
This line of research focuses on the development of new network architectures and protocols, as well as on the creation of advanced telecommunication systems to improve communications between users. This work includes the development and implementation of our new services, technologies and network architectures centred on enhancing the quality of the final user’s experience.
The line focuses on the application of high performance computing techniques, and the development and optimisation of distributed platforms within the cloud computing paradigm, for Big Data, multimedia applications and intelligent systems problem solving.
Recognition and machine learning techniques applied to linear and nonlinear models. Continuous Distance Learning. Heterogeneous and multi-dimensional data mining, with special emphasis on image analysis and recovery and the processing of audio and video signals.
Development of reinforcement learning models and dynamic programming for cost reduction, the improvement of important parameters and the increase of efficiency.
Use of formalism of quantum mechanics to improve the performance of machine learning algorithms. Use of machine learning for the description and extraction of quantum phenomena knowledge.
Development of product recommendation engines based on the characteristics of the customer and management of personalised promotions.
Development of equipment and algorithms custom-made for their aqcuisition and signal processing.
Advanced methods for the capture, analysis and synthesis of acoustic signals, including musical and voice processes, acoustic simulation of rooms, 3D reproduction methods and intelligent monitoring of acoustic environments.
Methodological developments and applications for active listening on the Internet, favouring the identification of feelings and authors to convert the huge flows of data and opinions into information.
Analysis and preparation of opinion surveys and polls.
Research in the interaction paradigm based on immersive virtual environments where the user is isolated from the environment and introduced in a synthetic environment in order to perform a training or live a different experience. Includes use of specific devices.
