Toulouse, Occitanie, France
I am an engineer, passionate and curious about the aeronautics and aerospace industries. I am very interested in new challenges and always ready to overcome them, working with innovative projects and teams with the goal of changing the world.
Health monitoring of electrical systems. Machine learning and mathematical models to predict electrical problems and potential failures.
Data Science and High Voltage engineering
Instrumentation sensors for more electric aircraft.
Use of deep learning for processing the electrical signatures of arcs. (Time series analysis, signal processing, deep learning)
- Development of a generic surrogate model for the stress displacement curve prediction of composite structures. - With data from experimental tests, we built through supervised learning, a prediction of stress- strain curves in average and variance. For this, I implemented in the python SMT (Surrogate Modeling Toolbox) a method of Bayesian optimization for mixed variables (categorical and continuous).
Crop type identification with machine learning. Working with classifiers like: • Random Forests • Naive Bayes • LogisticRegression • K-nearest neighbors • Support Vector Machines. Also doing feature selection to improve classification.