Supervision
PhD
October 2025 - : Emma Marcos, Modélisation de la propagation troposphérique sur de longues distances par apprentissage machine. , ARED/AID funding, with Ali Khenchaf and Abdelmalek ToumiOctober 2024 - : Titouan Marquaille, Stochastic finite element approach to model radar stealth (FEARS) , ARED/ENSTA Bretagne funding, with Arnaud Coatanhay Post-doctoral fellow
May 2023 - : Corentin Carré, A hybrid wavelet-based method for the tropospheric long-range propagation over the sea for detection applications , AID MEPOM fundingInternship (M2)
March - July 2025: Adam El Hammoud (University of Pau), A stochastic method to model uncertainty in a quasi-optic system, with Clément Henry (Lab-STICC, IMT Atlantique), Titouan Marquaille (Lab-STICC, ENSTA), Grégory Gaudin (Lab-STICC, IMT Atlantique) and Arnaud Coatanhay (Lab-STICC, ENSTA)
Currently doing a PhD at the University of Pau April 2024 - September 2024: Jason Tridon (ENS-PSL and Sorbonne Université), Inverse obstacle problem with uncertainty, with Fabien Caubet (LMAP, Université de Pau)
Currently doing a PhD at the University of Pau with Fabien Caubet (LMAP) March 2024 - August 2024: Titouan Marquaille (University of Rouen), Stochastic finite element in electromagnetism, with Arnaud Coatanhay (Lab-STICC, ENSTA)
Currently doing a PhD at ENSTA March 2023 - August 2023: Nour Rizk (Université of Rouen), On some inverse problems, with Fabien Caubet (LMAP, Université de Pau) and Jordan Ninin (Lab-STICC, ENSTA)
Currently doing a PhD at ENSTA February 2023 - August 2023: Jean-Philippe Couchouron (ENAC), Stochastic finite element for bio-electromagnetism: application to the electroporation phenomena, with Arnaud Coatanhay (Lab-STICC, ENSTA)
Currently working at the DGACStudent projects
M2
October 2025 - February 2026: Quentin Dutailly, 3rd year project, Uncertainty quantification via supervised and unsupervised learning with Arnaud Coatanhay and Titouan Marquaille October 2025 - February 2026: Anes Berroukeche, 3rd year project, On the use of deep operator network for RCS computations with Corentin Carre October 2024 - February 2025: Matthieu Musy, 3rd year project, Image theory for the Event Horizon Telescope October 2024 - February 2025: Théo Llopis, 3rd year project, On the use of untrained graph neural network to solve the parabolic wave equation October 2024 - February 2025: Oscar Agnus, 3rd year project, Using PINN to model the EM wave propagation October 2024 - February 2025: Victor Queiroz Dos Santos, 3rd year project, On the use of Machine-Learning and/or Bayesian inversion for parameters identification in Poisson equation, with Angélique Drémeau October 2024 - February 2025: Théo Thuillier, 3rd year project, Uncertainty quantification using machine learning techniques with Arnaud Coatanhay and Titouan Marquaille October 2023 - February 2024: Samuel Dubos, 3rd year project, Stochastic finite element methods, with Arnaud Coatanhay October 2023 - February 2024: Nicolas Le Roux, 3rd year project, Machine Learning for tropospheric propagation, with Abdelmalek Toumi October 2022 - February 2023: Benjamin Chauvel, 3rd year project, Machine Learning for tropospheric propagationM1
2024 - 2025: RPatch5G, 2nd year project, Conception of an array of patch antenna for 5G applications , with Didier Tanguy 2024 - 2025: CRAIE, 2nd year project, Conception of a metasurface for radar cloaking, with Fabrice Comblet and Didier Tanguy 2023 - 2024: Patch5G, 2nd year project, Conception of 5G patch antennas , with Didier Tanguy 2023 - 2024: ISILIC, 2nd year project, Pedagogic interface for the World2 and World3 models, with Arnaud Coatanhay and Angélique Drémeau