Short Biography:

I received my M.Sc. and Ph.D. degree in Computer Science from the University of Granada, Spain, in 2009 and 2014, respectively. During my PhD, I was a member of the Soft Computing and Intelligent Information Systems ( http://sci2s.ugr.es/) research group at the Department of Computer Science and Artificial Intelligence.

In October 2014, I started as a post-doctoral researcher at Ghent University (Belgium) in the Data Mining and Modelling for Biomedicine group (DAMBI - http://www.dambi.ugent.be/), headed by Prof. Saeys.

Since June 2016, I am an Assistant Professor in Data Science at the School of Computer Science of the University of Nottingham. I am a member of the Automated Scheduling Optimisation and Planning Group (ASAP), led by Prof. Bob John.

Research interests:

Currently, I aim to make fundamental advances in data science, specifically in data mining, data reduction, semi-supervised learning, extreme classification and big data learning. I am now very fascinated by the challenges associated with processing big amounts of data to extract valuable knowledge in extreme frameworks.

The following figure summarises my research expertise in data science:
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Apart from my main research line, I am very interested in biometrics problems (especially fingerprint recognition), the application of evolutionary models in real-world optimisation problems (e.g. Photovoltaic plants), and bibliometrics ( University Rankings )




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School of Computer Science
University of Nottingham
Tel.: 01158466416
E-Mail: Isaac.Triguero@removethis.nottingham.ac.uk
Address: Jubilee Campus, Wollaton Road,
Nottingham NG8 1BB, UK
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