FERNANDEZ GARCIA Guglielmo
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Scientist Theme(s) : Email : guglielmo.fernandez-garcia@inrae.fr Address: UMR DECOD, 65 rue de Saint-Brieuc, Bât. 15, CS 84215, 35042 Rennes Cedex, France & LETG Costel, Place Recteur Henri le Moal, Bat. N, Université Rennes 2, 35000 Rennes, France Keywords: Neural Networks et ML, Modelling for ecosystems, hydroacoustic, ecology |
Expertise
Neural Networks et Machine Learning, programmation in Python, Fortran, scinetific calculation, modelling of complex systems and of populationsCareer
- 2019: post-doc with Thomas Corpetti (Université de Rennes 2, LEGT – Costel), François Martignac and Marie Nevoux (INRAE of Rennes, UMR ESE)
- 2018: post-doc with Federico Totti (University of Florence, Italy)
- 2014 – 2017: Ph.D. thesis with prof. Federico Totti (University of Florence, Italy) and Boris le Guennic (Université de Rennes 1, UMR ISCR)
Research
Current research topics
My current research is focused on the improvement of the analysis of data coming from instruments employed in the study of the icthyofauna. In detail, cutting-edge technologies, such as hydroacoustic cameras, can be used nowadays to improve our knowledge of such ecosystems and to develop new methods of regulation. However these instruments generate huge quantities of data to be analysed, often too large to be efficiently exploited in short time. To overcome such issues, I am studying novel methods as Neural Networks to automatise the analysis of large amounts of data and to exploit them to gain new insights.
Current projects
Automatic analysis of acoustic camera data with Convolutional Neural Networks (CNN) | Timeframe : 2019 - Keywords : Caméra acoustique ARIS, Automatisation, Réseaux de neurones convolutifs, Deep-learning |
M.Sc. Students
HERSANT, M. (2021) .Identification automatique des especes de poissons par intelligence artificielle sur des videos acoustiques