Olivier Canévet
Biography
Research engineer at the Idiap Research Institute.
EPFL STI IEM LIDIAP
ELD 241 (Bâtiment ELD)
Station 11
1015 Lausanne
Web site: Web site: https://idiap.epfl.ch/
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDEE-ENS
Fields of expertise
Computer Vision, Machine Learning, Deep Learning
Biography
I am a research engineer at the Idiap Research Institute. I have a PhD from the École Polytechnique Fédérale de Lausanne doneunder 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
EPFL
Oct. 2012-Sep.2016
Engineering diploma
TELECOM Bretagne
Sep. 2007-Sep. 2012
Teaching & PhD
Courses
Fundamentals in statistical pattern recognition
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
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.