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The Intelligent Systems Group (GSI, Grupo de Sistemas Inteligentes) is a research group acknowledged by the Technical University of Madrid (UPM, Universidad Politécnica de Madrid). Our staff consists of 14 professors, 8 researchers and 8 undergraduates from several departments of the university, mainly from the Department of Telematic Systems Engineering (DIT, Departamento de Ingeniería de Sistemas Telemáticos).

Since 1982, our group has conducted research, development and innovation in theories, methods and applications of artificial intelligence techniques, especially in the fields of Machine learning and Big Data, Semantic technologies and Linked Data, Intelligent Agents and Agent-based Social Simulation, Language engineering, and Web and Service engineering.

Our group proposes master thesis and final graduate works in topics such as Machine Learning, Big Data and the Web of Data. We offer the possibility of publishing the results in international conferences and workshops.

“Highly organized research is guaranteed to produce nothing new.” ― Frank Herbert, Dune

“An expert is one who knows more and more about less and less until he knows absolutely everything about nothing.” ― Nicholas Murray Butler

“Science is simply common sense at its best, that is, rigidly accurate in observation, and merciless to fallacy in logic.” ― Thomas Henry Huxley

If we knew what we were doing, it wouldn't be research

“I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.” - Alan Turing

GSI has developed a multiagent system for telecommunication network diagnosis that is currently being used by Telefónica in Spain and O2 in Czech Republic

GSI participates in the project MOSI-AGIL which researches on the application of social simulation techniques for evacuation of big facilities. The project is funded by the Region of Madrid.

The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. - Tim Berners-Lee

Investigación

Proyectos

Canal GSI

Software

Publicaciones

Latest news

Participation in SALLD-1

GSI participates in SALLD-1 Workshop on Sentiment Analysis & Linguistic Linked Data hold held in conjunction with LDK 2021 – 3rd Conference on Language, Data and Knowledge in Zaragoza. the invited talk i ...

Gamusino - Aprendizaje Servicio: Charla de Inteligencia Artificial a alumnos y alumnas de ESO

El pasado martes 15 de junio se llevó a cabo la actividad del proyecto Gamusino con alumnos de tercero de la ESO del colegio Comunidad Infantil Villaverde. El proyecto Gamusino (GAMUSINO - Técnicas de Gamificaci ...

Open Position SDGEngine - Knowledge Graphs for Video Content Recommendation

Ph.D. Topic: Exploiting Knowledge Graphs for Improving Mental Wellbeing at Home through Content-based Recommendations Description The Ph.D. thesis aims at researching personalized content recommendation algorith ...

GSI Channel

Featured

Premio COIT-ISDEFE a la Mejor Tesis Doctoral en Seguridad y Defensa

Óscar Araque Iborra, Profesor de la Universidad Politécnica de Madrid y miembro del Grupo de Sistemas Inteligentes, ha recibido el Premio ISDEFE a la Mejor Tesis Doctoral en Seguridad y Defensa, co ...

IV Edición Becas de Iniciación a la Investigación en Sistemas Inteligentes

El Grupo de Sistemas Inteligentes fue fundado por los profesores Gregorio Fernández, Mercedes Garijo y Fernando Sáez-Vacas en 1985, abordando temáticas de sistemas inteligentes y complejidad, crean ...

Premio IN-NOVA Ciberseguridad de la AEIT/COIT

Un miembro del GSI, DIego Benito Sánchez, ha recibido el premio IN-NOVA al mejor TFM en Aplicaciones y Servicios para la Ciberdefensa y la Ciberseguridad, otorgado por la Asociación y el Colegio de ...

A semantic data lake framework for autonomous fault management in SDN environments

El artículo A semantic data lake framework for autonomous fault management in SDN environments, por Fernando Benayas, Álvaro Carrera, Carlos A. Iglesias y Manuel García Amado has sido aceptado y ...