About me

Photo


I am a PhD student in Technicolor R&I and Inria Rennes (Team Dionysos). I did the Master R&I in Computeur Sciences from École Normale Supérieur de Rennes associated with the University Rennes 1. You can find my Curriculum Vitae here and a short description of my studies in ENS Rennes.

Contact

E-mail :Corentin[dot]Hardy[at]technicolor[dot]com
Corentin[dot]Hardy[at]irisa[dot]fr
Corentin[dot]Hardy[at]ens-rennes[dot]fr

CV

Education

  • 2016-present: PhD in Technicolor R&I and Inria Rennes.
  • 2013-2015: Research Masters Degree in Department of Computer Science and Telecommunications of École Normale Supérieure de Rennes in collaboration with University Rennes 1.
  • 2012-2013: Bachalor degree in Department of Computer Science of École Normale Supérieure de Rennes in collaboration with University Rennes 1.
  • 2010-2012: First and Second year of the Bachelor in University Rennes 1, Rennes

Experience

  • April 2016 - present: PhD, in Technicolor R&I (Rennes) and Dionysos team (INRIA Rennes), supervised by Bruno Sericola and Erwan Le Merrer. The subject of my thesis is "Distributed Deep Learning on Edge-Devices".
  • September 2015 - January 2016: CDD, in Dionysos (INRIA Rennes).
  • February-June 2015: Research internship, in Linkmedia and Dream teams (INRIA Rennes), supervised by Guillaume Gravier, Laurent Amsaleg, René Quiniou et Simon Malinowski. I propose methods to use sequential pattern mining on multimedia data.
  • May-June 2014: Research internship, in Science Life team (CWI Amsterdam), supervised by Gunnar W. Klau.
  • May-August 2013: Research internship, LAGADIC team (INRIA Rennes), supervised by Éric Marchand. My goal was to implement the KLT algorithm in one dimension to develop a C++ application
  • June-August 2011: Internship, Technicolor R&I, supervised by Claire-Hélène Demarty.

Languages

  • English: Fluent both oral and writing
  • French: Mother tongue
  • Spanish: Basic

Other

  • Programming languages: Python, C/C++, Java, Ocaml,...

Publications

  • Corentin Hardy, Erwan Le Merrer and Bruno Sericola,"Distributed deep learning on edge-devices: feasibility via adaptive compression", 16th IEEE International Symposium on Network Computing and Applications (NCA), Cambridge, MA, USA, 2017. (Best Paper Award)

  • Corentin Hardy, Laurent Amsaleg, Guillaume Gravier, Simon Malinowski, René Quiniou, ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Porto, Portugal, 2015.