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Administrative data

Olivier Canévet

olivier.canevet@epfl.ch https://idiap.ch/~ocanevet/

EPFL STI IEM LIDIAP
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne

EPFL › STI › IEM › LIDIAP

Website: https://idiap.epfl.ch/

Expertise

Computer Vision, Machine Learning, Deep Learning
Research engineer at the Idiap Research Institute.
I am a research engineer at the Idiap Research Institute. I have a PhD from the école Polytechnique Fédérale de Lausanne done
under the supervision of Dr François Fleuret. My research was funded by the Swiss National Science Foundation (DASH). I graduated from the French Engineering School TELECOM Bretagne (Brest) in 2012 and hold a Master in image processing from Université de Rennes1. I did a six-month internship at the French Space Agency (CNES) working on very high resolution satellite images. I was also a technical student at CERN and worked on a ranking method for Invenio. I spent one year on Amsterdam Island (Indian Ocean) where I was in charge of the seismological and geomagnetic observatories of école et Observatoire des Sciences de la Terre de Strasbourg (EOST) affiliated with the French Polar Institut (IPEV).

Education

PhD in Electrical Engineering

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2012 – 2016 EPFL

Engineering diploma

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2007 – 2012 TELECOM Bretagne

Teaching & PhD

Courses

Fundamentals in statistical pattern recognition

EE-612

This course provides in-depth understanding of the most fundamental algorithms in statistical pattern recognition or machine learning (including Deep Learning) as well as concrete tools (as Python source code) to PhD students for their work.

Machine Learning for Engineers

EE-613

The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks.