Isaac Triguero

I am an Associate Professor of Data Science at the School of Computer Science of the University of Nottingham. In my research, 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.

Python Book

1st Edition Thorsten Altenkirch and Isaac Triguero.
Self-published on,
30th September 2019,
Paperback: ISBN 978-0-244-82276-7;
260 pages

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School of Computer Science, University of Nottingham.
Computation Optimisation and Learning Lab (COL)
Tel.: 0115 74 87415
Address: Jubilee Campus, Wollaton Road,
Nottingham NG8 1BB, UK

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Research interests

I am an active member of the computational intelligence and data mining communities. My work is primarily concerned with researching novel methodology for big data analytics and optimisation. Within my research group, the Computational Optimisation and Learning (COL) Lab, my distinct research areas are data science and machine learning. At the school level, my most distinct expertise is in the area of big data. Relevant research works include the development of state-of-the-art big data pre-processing techniques for classification, novel big data learning algorithms, extreme big data problems (e.g. imbalanced classification), and realworld big data solutions in Health, Transportation and Energy. The following figure summarises my research expertise in data science:
Apart from my main research line, I am very interested in biometrics problems (especially fingerprint recognition, have you seen my video on ComputerPhile?), the application of evolutionary models in real-world optimisation problems (e.g. Photovoltaic plants))

About me

Isaac was born and bred in a small town, called Atarfe, in the region of the magnificent Granada, Spain, where the emblematic Arabic palace and fortress 'Alhambra' sits. Isaac studied his MSc and PhD degrees in Computer Science at the University of Granada, where he was drawn into all the buzz words of the moment (Data science and Big data) before departing to Ghent where he worked (and mostly ate waffles on a daily basis) as a postdoctoral researcher in the Data Mining and Modelling for Biomedicine group (DAMBI -, headed by Prof. Saeys. A few years ago, Isaac joined the School of Computer Science at the University of Nottingham, where he is a member of the Computation Optimisation and Learning Lab (COL); he was soon severely punished and trapped into teaching a programming course with Thorsten, and Operating Systems and Concurrency with Geert De Maere. He is now designing a Big Data module that will start in Spring 2021.