Our main research interests focus on data space technologies, generative AI, e-Learning, and videoconferencing systems. We have extensive experience in protocol and specification design, as well as in the development of software components and use cases in these areas. We participate in competitive publicly funded research projects at the national and European level and in collaboration agreements with companies.
This line focuses on the development of videoconferencing tools and platforms, such as Isabel and Licode, as well as the application of these technologies to interpretation and multimedia communication, improving the quality, scalability and accessibility of videoconferencing services in professional and educational environments.
This line addresses the study and development of advanced technologies for data processing, management, and analysis, including data spaces and digital twins.
This line focuses on the research and development of artificial intelligence-based applications, including the evaluation of large-scale language models (LLMs), fine-tuning, and retrieval augmented generation (RAG).
This line focuses on the design and development of advanced educational technologies, including learning platforms, authoring tools, ia in education and educational escape rooms.
This line focuses on the development of reliable computing systems, addressing fault tolerance, security, high availability and performance in distributed architectures.