My
Curriculum vitae in english.
For my second year of master studies at Université de Rennes, I followed courses on these subjects:
Data Mining and Visualization introducing
important problems and historical algorithms in data mining.
Graph data processing introducing random graph
models, their property and important characteristics
and clustering techniques linked to graph spectral analysis.
Analysis and Probabilistic Modelling of data
introducing statistical tools and stochastic models
to represent and model data and the corresponding algorithms to build these models.
Supervised Machine Learning introducing important
concepts, problems and models in supervised
machine learning and presenting the library
scikit-learn.
High dimensional learning presenting the
PAC framework
through proof of theoretical guarantees provided by some dimension reduction
algorithms.
Deep learning for vision presenting an history of
classical vision techniques and
the architectures and characteristics of the deep networks now replacing these techniques.
Vocal and audio interactions introducting some
important problems and techniques
for audio signal processing and speech processing and advances in this field related
to neural networks.
During my semester at École Polytechnique Fédérale de Lausanne I attended the following courses:
Computational Molecular Biology taught by Bernard Moret
and introducing computational
problems arising in phyllogeny and genomics and algorithmics methods to deal
with it.
Computational Motor
Control taught by Auke Ijspeert and dealing with
biologically inspired design of robotic controllers. As a project I designed
a controller for a simulated walking walking and swimming robot salamander
inspired by real salamander neural system.
Evolutionnary Robotics
taught by Dario Floreano and dealing with
the design of robot morphologies and controllers by evolutionnary algorithms.
As a project I developped a robot body and controller in simulation then
built with modular hardware.