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OPIS - 2019

Overall Objectives
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography


Section: Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

  • PhD Contract with IFP Energies Nouvelles

    • Project title: Polynomial optimization for sparse signal recovery

    • Duration: 2018-2020

    • Leaders: M. Castella and J.-C. Pesquet

  • PhD Contract with IFP Energies Nouvelles

    • Project title: Seismic signal analysis by using neural networks

    • Duration: 2019-2022

    • Leaders: A. Fraysse and J.-C. Pesquet

  • PhD Contract with Thales Group

    • Project title: Neural network solutions for safety of complex systems

    • Duration: 2019-2022

    • Responsible: J.-C. Pesquet and F. Malliaros

  • PhD Contract with General Electric Healthcare

    • Project title: Minimally invasive assessement of coronary disease

    • Duration: 2018-2021

    • Leader: Hugues Talbot

  • PhD Contract with General Electric Healthcare

    • Project title: Optimization methods for breast tomosynthesis

    • Duration: 2017-2020

    • Leader: J.-C. Pesquet and E. Chouzenoux

  • PhD Contract with General Electric Healthcare

    • Project title: Reconstruction 3D interventionnelle

    • Duration: 2019-2022

    • Leader: J.-C. Pesquet and E. Chouzenoux

  • PhD Contract with IFP Energies nouvelles

    • Project title: Graph-based learning from integrated multi-omics and multi-species data

    • Duration: 2019-2022

    • Leader: F. Malliaros and J.-C. Pesquet

  • Contract with Schneider Electric

    • Project title: Neural network modeling of electrical motors

    • Duration: 2019

    • Leader: J.-C. Pesquet

  • Contract with SNCF

    • Project title: SIARA project: Developing an automatic system based on deep learning which monitors different types of defects in the current railway network of France.

    • Duration: 2018-2019

    • Leader: M. Vakalopoulou

  • Contract with SNCF

    • Project title: SNCF Platipus: Examining the potential of machine learning algorithms in the analysis of scouring reports of aquatic foundations.

    • Duration: 2019-2020

    • Leader: F. Malliaros, M. Vakalopoulou.