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Fernando Andreotti

Fernando graduated in Automation and Control Engineering at the Universidade Federal de Minas Gerais (Belo Horizonte - Brazil) in 2011. In 2017, he received his doctoral degree in Electrical Engineering at the Technische Universitaet Dresden (Dresden - Germany). His doctoral work focused on modelling and processing of cardiac signals, in particular for non-invasive fetal ECG analysis. Fernando joined the Computational Intelligence in Biomedical Monitoring (CIBIM), lead by Professor Maarten De Vos, in February 2017 as a Postdoctoral Research Assistant. His current research focuses on the non-invasive blood pressure estimation, risk-stratification, and monitoring of non-critical patients using wearable technology.

Contact: fernando.andreotti@eng.ox.ac.uk