Perelló Nieto, Miquel


About me

Miquel is currently pursuing a PhD in Computer Science at University of Bristol, while working as a Research Associate in the IRC-SPHERE project. He received an MSc degree in Machine Learning and Data Mining from Aalto University School of Science , and an MSc degree on Artificial Intelligence from a consortium between Polytechnic University of Catalonia, Barcelona University and Rovira i Virgili University. He holds a BSc degree in Technical Engineering on Computer Science from the Polytechnic University of Catalonia.

He has extensive work experience since 2006 as a technical service manager, software developer, systems administrator, and has hold several Research positions since 2014 in Finland, in the Deep Learning and Bayesian Modeling research group supervised by Prof. Tapani Raiko; United Kingdom, in the REFRAME project supervised by Prof. Peter Flach, and an Activity recognition project supervised by Dr Raúl Santos Rodríguez ; and France, in the Université de Strasbourg with Dr. Nicolas Lachiche. All with a special focus in Machine Learning, Data Mining, Deep Learning and Computer Vision.

His current research focuses on improving the interpretability of machine learning classifiers by adding confidence values in their predictions. He is also studying methods to use data with non-reliable annotations. And he is analysing environmental sensors in smart homes to evaluate the well-being of participants in clinical trials of the IRC-SPHERE project.

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