Tecnologías de la Información y de Redes

Propuesta de tesis


Grupo de investigación

Authorship, authentication and certification in e-assessment

Even though online education is a very important pillar of lifelong education, institutions are still reluctant to opt for a fully online educational model. In the end, they continue to rely on on-site assessment systems, mainly because fully virtual alternatives do not have the deserved social recognition or credibility. Thus, the design of virtual assessment systems that are able to provide effective proof of student identity, authentication and authorship, and ensure the integrity of the activities in a scalable and cost-efficient manner would be very helpful.

This line of research proposes to analyse a virtual assessment approach based on a continuous trust level evaluation between students and the institution.

Dra. Anna Guerrero

Dr. David Bañeres


SOM Research Lab

Data Mining Techniques to Discover Knowledge in Databases

The main objective of this line of research lies in the development of data mining tools for knowledge discovery from large amounts of data, represented in multidimensional spaces and coming from different kinds of sources: eg design and implementation of parameter-free hierarchical clustering algorithms, which do not require any prior knowledge about the data, including the number of clusters to identify.

The scope of application of these tools is broad and varied, and the data can be found in a wide variety of research fields, including economics, psychology, climatology, biology, computational genomics, statistics, education, information retrieval, text mining, computer vision and machine learning, among many others.

Dr. Germán Cobo ITOL

Knowledge representation, modeling and engineering

This line of research is related to artificial intelligence, to knowledge discovery and to knowledge-based engineering.

One of the goals of artificial intelligence is to develop techniques and methods that allow a computer system to solve problems intelligently. Knowledge representation is concerned with the modelling aspect of this. It is, therefore, related with establishing a framework of understanding within which a collection of individual facts make sense. The key to establishing such a framework is to endow the computer with a capacity for reasoning. Furthermore, knowledge engineering focuses on the development of models for implementing intelligent capabilities of tools and applications in interactive environments.

This line of research investigates modelling and representation of different forms of knowledge and reasoning, and it focuses on the use of techniques to formalize knowledge representation and reasoning about interactive systems. It covers both theoretical and practical approaches. In particular, knowledge-based systems, description logics, temporal and modal logics, formal ontologies and fuzzy systems are considered. The development of software artifacts is also an integral part of this line of research, with application in interactive environments that require computational intelligence.

Dra. M. Antonia Huertas

Dra. M. Elena Rodríguez