Kevin Heffner, BSME, Ph.D.

Innovation Director

(Ph.D. Mechanical Engineering, University Pierre and Marie Curie, 1993)

Kevin Heffner joined CRIM in 2017 as Innovation Director. Kevin holds a Bachelor of Science in Engineering (1987) and a master’s degree in fluid dynamics from the von Karman Institute.

After starting his career at NASA, Kevin obtained his doctorate in the area of stability and control of space vehicles in the context of research performed for the French National Space Agency. Kevin has more than 30 years of experience in numerical methods, modeling and simulation and systems engineering. His main activity over the last ten years has been in the practical use of artificial intelligence technologies for applications in the aerospace and defence sector.  Kevin is specialized in system interoperability and has participated in numerous interoperability standardization activities. In 2013 he received the NATO Scientific Acheivement Award for his contribution in the standardization of interoperability between command and control systems and simulations.

His recent research activities deal with the development of intelligent systems, including autonomous unmanned aerial vehicles.

Portrait d'expert du CRIM : Découvrez Kevin Heffner (In French - 5:48)

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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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