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Christophe Danjou
Doctorat, Université de Technologie de Compiègne; Dipl. Ingénieur, Université de Technologie de Compiègne

Research interests and affiliations

Research interests
  • Industry 4.0 / Industry 5.0 / Digital transformation
  • Automated process planning
  • Product Lifecycle Management (PLM)
  • Interoperability
  • Blockchain
Expertise type(s) (NSERC subjects)
  • 1600 INDUSTRIAL ENGINEERING
  • 1602 Management information systems
  • 1604 Manufacturing
  • 1606 Operations management
  • 1700 DESIGN AND MANUFACTURING
  • 1702 Advanced manufacturing

Publications

Featured
Conference paper
Danjou, C. (2019, June). Lean 4.0 [Paper]. 7th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2019), Compiègne, France.

Biography

C. Danjou joined Polytechnique Montreal as a professor in January 2018. He received his PhD from UTC (Université de Technologie de Compiègne), where he had previously earned his engineering degree in industrial engineering. He is the scientific director of the laboratory in Industry 4.0 since June 2021. In the context of digital transformation (Industry 4.0/5.0), his research aims at solving interoperability issues to enable new capabilities for system control and management. His main work is divided into two themes: On the one hand, he is interested in the development of an analysis grid to define strategic positioning for Industry 4.0 and roadmaps to address the digital shift and, on the other hand, he is interested in the development of knowledge management and interoperability solutions through ontological approaches - OntoSTEP-NC - and blockchain technology.

Supervision at Polytechnique

IN PROGRESS

  • Post-doctoral fellowship (1)

    • Heroux-Vaillancourt, Mikaël.
  • Ph.D. (6)

    • Smati, Meriem.
    • Baesso, Keila.
    • Boudina, Ahlam.
    • Damaj, Ghaleb.
    • Parrenin, Loic.
    • Vadeboncoeur, Dominic.
  • Master (thesis) (5)

    • Jodeau, Claire.
    • Njah, Syrine.
    • Jacquet, Lucas.
    • Momen, Salman.
    • Pons, Julien.

COMPLETED

Press review about Christophe Danjou

September 11, 2023, Revue PLAN - OIQ, Plan | De la meunerie à l'université p.48 Bruno Agard et Christophe Danjou, professeurs au Laboratoire en Intelligence des Données (LID), présentent leur projet de recherche sur la qualité de mouture du grain dans une meunerie.