Prof. Eric Granger

Prof. Eric Granger

Eric Granger obtained a Ph.D. in Electrical Engineering from the École Polytechnique de Montréal in 2001, and from 1999 to 2001, he was a Defence Scientist at Defence R&D Canada in Ottawa. Until then, his work was focused primarily on neural network signal processing for fast classification of radar signals in Electronic Surveillance (ES) systems. From 2001 to 2003, he worked in R&D with Mitel Networks Inc. on algorithms and dedicated electronic circuits (ASIC/SoC) to implement cryptographic functions in Internet Protocol (IP)-based communication platforms.

In 2004, Dr. Eric Granger joined the ÉTS, where he has been developing applied research activities in the areas of machine learning, patterns recognition, signal processing and microelectronics. He presently holds the rank of Associate Professor in the département de génie de la production automatisée (GPA). Since joining ÉTS, he has been a member of the Laboratoire d'imagerie, de vision et d'intelligence artificielle (LIVIA), and his main research interests are adaptive classification systems, incremental learning, ambiguity and novelty detection, neural and statistical classifiers, and multi-classifier systems, with applications in biometrics (authentication from signatures and faces),  military surveillance (recognition of radar signals), and intrusion detection in computer and network security.