Mario Martin's home page

Universitat Politècnica de Catalunya


Policy Learning

I've been always interested the ultimate goal of learning in agents: learning to behave toachieve goals. That's why I have done some research (including my PhD) in policy learning (mainly in reinforcement learning).


ML and Neurophysiology

In last years, I've had the opportunity to work with real data from neurological origin. That's especially interesting and somewhat ironic. Artificial Intelligence to know more about intelligence!


Machine Learning

I've done some basic research in Machine learning, especially in the topics of support vector machines, transductive learning and unsupervised learning


Learning for Information Extraction.

If have done also some research on application of semi-supervised techniques of Machine Learning to automatically extract patterns for Information Extraction in NLP


Fuzzy Sets

My introduction to research in Artificial Intelligence was through Fuzzy sets in collaboration with CNRS in Toulouse



Research outline

Hi!

I'm an Associate Professor in the Department of Computer Science at the Polytechnic University of Catalonia, currently integrated in the Knowledge Engineering and Machine Learning (KEMLg) research group in the UPC and visiting the Barcelona Supercomputer Center (BSC) invited by the High Performance Artificial Intelligence group (HPAI).

I obtained a degree in Computer Science and in 1992 a Ph. D. in Artificial Intelligence at the UPC. Since then, I have mainly done researched in three areas related to machine learning: Reinforcement learning, unsupervised/semi-supervised learning, and applications of machine learning techniques. On these topics I've published more than 40 papers in international journals and conferences and have been involved in several international projects.

In recent years, I've supervised two doctoral theses in machine learning and, currently, I'm supervising two more.