Prof. José David Martín Guerrero holds a B.Sc degree in Theoretical Physics (1997), an M.Eng. degree in Electronics (1999) and a Ph.D. degree in Machine Learning (2004). He is currently a Full Professor at the Department of Electronic Engineering, Universitat de València. His research interests include Machine Learning and Computational Intelligence, with special emphasis in Reinforcement Learning and Quantum Machine Learning. He is Co-Chair and founder Member of the Medical Data Analysis Task Force (Data Mining Technical Committee, IEEE Computational Intelligence Society). He is also a founder Member of the Task Force on Explainable Machine Learning, belonging to the same committee.
His research has been reflected in more than 60 papers published in relevant journals and in the organization of 30 special sessions and workshops in relevant conferences of his field. He has led research projects funded by National and European funding programs in the fields of ICT and health, among others. He has also been in charge of R+D+I projects in the framework of collaborations between Universitat de València and a number of private companies.
Research Keywords & Expertise
Data Science
Reinforcement Learning
Clustering
Quantum Machine Learni...
Machine Learning and a...
Fingerprints
18%
Machine Learning and artificial intelligence
10%
Reinforcement Learning
10%
Clustering
5%
Quantum Machine Learning
Short Biography
Prof. José David Martín Guerrero holds a B.Sc degree in Theoretical Physics (1997), an M.Eng. degree in Electronics (1999) and a Ph.D. degree in Machine Learning (2004). He is currently a Full Professor at the Department of Electronic Engineering, Universitat de València. His research interests include Machine Learning and Computational Intelligence, with special emphasis in Reinforcement Learning and Quantum Machine Learning. He is Co-Chair and founder Member of the Medical Data Analysis Task Force (Data Mining Technical Committee, IEEE Computational Intelligence Society). He is also a founder Member of the Task Force on Explainable Machine Learning, belonging to the same committee.
His research has been reflected in more than 60 papers published in relevant journals and in the organization of 30 special sessions and workshops in relevant conferences of his field. He has led research projects funded by National and European funding programs in the fields of ICT and health, among others. He has also been in charge of R+D+I projects in the framework of collaborations between Universitat de València and a number of private companies.
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