Stéphane Bond, M.Sc.

Solution Architect

Stéphane Bond
Team: Emerging Technologies and Data Science

T 514 840-1235, ext. 5404
@ stephane.bond@crim.ca

(M.Sc., computer science, UQAM, 2008 and B. Computer Science and Software Engineering, UQAM, 2004)

Stéphane Bond holds the position of solution architect at CRIM. He mainly oversees the management and realization of the research and development mandates for various clients in addition to the counseling, support, development and technological watch activities.  He has served as head of project and principal developer for the Solutionneur, a scheduling and timetabling program intended for Québec secondary schools that has been rewarded with an OCTAS 2010 prize.

Stéphane holds a master’s degree in Computer Science, specialized in Software Engineering. He has over a decade of experience in several fields, including programming, software architecture, computer services management and systems integration. Prior to joining CRIM in the fall of 2005, Stéphane had held several positions, including programmer and analyst at the Laval School Board where he notably contributed to the realization of project Mille (an infrastructure model of open source software in education). His main fields of interest are : application architecture, software engineering, optimization techniques based on metaheuristics, enterprise portals, open source software and Web standards.

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Recent news

  • Best wishes for the holidays!
    18/12/2019

    Happy Holidays from all of us at CRIM!

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Upcoming event

  • Transformation numérique - Secteur public - Événement Les Affaires
    29 January 2020 7:00
    DoubleTree par Hilton, Montréal
    Le CRIM fier partenaire de la 1ère édition sur la Transformation numérique - Secteur public organisée par les Événement Les Affaires, qui se tiendra les 29 janvier 2020 au DoubleTree par Hilton, Montréal.
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  • Nous y serons!! https://t.co/CxzO3DDoUy
  • Infolettre de janvier 2020 ????pour avoir les dernières nouvelles du CRIM, ses membres et partenaires.… https://t.co/8sKn8SXVe0

Recent Publications

  • On the use of Fisher Vector Encoding for Voice Spoofing Detection

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  • Deep learning speech recognition for low-resource languages

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