Christian Gagné

Associate professor

Affiliations:
Member of the Computer Vision and Systems Laboratoy (CVSL) / REPARTI
Deputy director of the Big Data Research Centre (BDRC)

Address:
Electrical Engineering and Computer Engineering Department
Adrien-Pouliot Building
Université Laval
Quebec City (Quebec)  G1V 0A6
Canada

Office: PLT-1138-F
Phone: +1 418 656-2131 ext. 3556
FAX: +1 418 656-3159
Email: christian.gagne@gel.ulaval.ca
Photo

Biosketch

Christian Gagné is professor at the Electrical Engineering and Computer Engineering Department of Université Laval since 2008. He is member of the Computer Vision and Systems Laboratory, the REPARTI FRQNT Strategic Cluster, and deputy director of the Big Data Research Centre. He completed a Ph.D. in Electrical Engineering (Université Laval) in 2005 before being postdoctoral fellow at the INRIA Saclay - Île-de-France (France) and the University of Lausanne (Switzerland) in 2005-2006. He was research associate for Informatique WGZ Inc. (2006-2007) and MacDonald, Dettwiler, and Associates Ltd. (2007-2008). He is member of the Ordre des ingénieurs du Québec, the IEEE, and the ACM. His research interests are on the engineering of intelligent systems, especially systems based on machine learning, evolutionary computing, and their application to pattern recognition, smart sensors, smart grids, and simulation of public health processes.

For more details, see the CV.


Teaching

  • Systèmes embarqués temps réel (Winter 2018, Winter 2017)
  • Apprentissage et reconnaissance (Fall 2017, Fall 2016, Winter 2014, Winter 2013, Fall 2011, Fall 2010, Fall 2009)
  • Architecture des microprocesseurs (Fall 2016, Fall 2013, Fall 2012, Fall 2011], Fall 2010)
  • Design IV (synthèse) (Fall 2014, Fall 2011, Winter 2010, Fall 2008)
  • Design I (méthodologie) (Winter 2011, Winter 2010, Winter 2009)
  • Algorithmes de l’ingénieur II (Winter 2009)

Research

My research interests are on the engineering of intelligent systems, in particular systems involving machine learning and evolutionary computation.

  • Methods
    • Deep Learning
    • Ensemble Methods
    • Multi-armed Bandit
    • Model-based Optimization
    • Evolutionary-based Machine Learning
    • Genetic Programming
  • Applications
    • Pattern Recogition
    • Smart Sensors and Sensor Networks
    • Smart Grid
    • Public Health Simulations

See also my publications page.


Students

Current Students

Former Students


Software Projects


Organization and Committees