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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

Research

Projects

GSI Channel

Software

Publications

Latest news

Published paper "Prediction of stress levels in the workplace using surrounding stress" in IP&M

The article "Prediction of stress levels in the workplace using surrounding stress", by Sergio Muñoz, Carlos A. Iglesias, Oscar Mayora and Venet Osmani has been published in the Information Processing & Managem ...

Participation Chrome Extension

We are happy to announce the release of Participation Chrome Extension. If you want to try it: 1. Go to https://chrome.google.com/webstore 2. Search 'gsi' You should find these extensions: 3. Instal ...

Published paper "A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations" in IP&M

The article "A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations", by Sergio Muñoz andCarlos A. Iglesias has been published ...

GSI Channel

Featured

V 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 ...

Becas Cátedra Cabify 22/23

El objetivo de la Cátedra Cabify es favorecer el desarrollo de modelos de transporte alternativos y ecológicos a través del estudio y observación de los mismos. Para ello, buscamos estudiantes de ...

Artículo Científico más citado de una Tesis Doctoral desarrollada y defendida en la UPM

El 20 de Diciembre de 2021, por Resolución del Rector de la Universidad Politécnica de Madrid, se ha premiado al Profesor Óscar Araque con el Premio al Artículo Científico más citado de una Tes ...

Cabify Chair Scholarships 21/22

The objective of the Cabify Chair is to promote the development of alternative and environmentally friendly transportation models through the study and observation of them. To this end, we are looking ...