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Arnaud Bougaham

PhD Student

Interests

  • anomaly detection
  • anomaly prediction
  • generative adversarial networks
  • vison transformer
  • industry4.0
  • quality optimization

Education

  • M.Sc. in Information and Communication Technologies, 2007

    Polytechnic University of Valenciennes (France)

Biography

After completing a Master’s degree in Information and Communication Technologies at the Polytechnic University of Valenciennes (France), Arnaud obtained a Master’s degree in Electronics and Telecommunications at the Polytechnic University of Barcelona (Spain). He joined Aisin-Europe (ex-AW Europe) in Mons (Belgium) in 2008, as a test engineer specialized in electronic manufacturing, for the automotive industry. In 2019, he became a digital transformation actor of the production center, taking on responsibilities as an engineer in operational technologies (Factory of the Future Award 2019).

In this context, he started a Ph.D. thesis in 2020, in collaboration with the University of Namur (Belgium), under the supervision of Benoît Frénay and Isabelle Linden. He then specialized in the performance and quality optimization of production systems, using artificial intelligence techniques, in an Industry 4.0 context. His areas of expertise are anomaly detection and prediction driven by unsupervised learning techniques, via convolutional neural networks (CNN) or transformers (ViT), in a generative adversarial network architecture (GAN).

Publications

GanoDIP-GAN Anomaly Detection through Intermediate Patches: a PCBA Manufacturing Case

Arnaud Bougaham , Adrien Bibal , Isabelle Linden , Benoît Frénay
PMLR
September, 2021
Details PDF

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