Short version

Current situation:

  • Full professor (professeur des Universités), Université Paris-Saclay, since 2022
  • Member of LISN-CNRS
  • Head of AO team, joint INRIA team TAU (co-head G. Charpiat)
  • Teaching at the Computer Science departement of IUT d’Orsay and Master IA
  • PEDR holder since 2016

Past positions:

  • Associate professor (Maître de conférences), IUT de Vélizy, Université de Versailles St Quentin, 2011-2022
  • Member of LISV lab, team Assistance and Interfaces, 2011-2022
  • Elected member of the 61th section of CNU, 2019-2022
  • Academic leave for 1 year in 2019 (CRCT 2 semesters), granted by CNU
  • Post-doc fellow in LTCI (Signal processing department, Télécom ParisTech) on Brain-Computer Interfaces in EEG
  • Post-doc fellow in TAU team (INRIA Saclay - LRI funded by the ASAP ANR project on deep learning and swarm intelligence.
  • ATER (french assistant professor) in ETIS lab in neurocybernetic team on neural models of visual preattention and in Computer Science Department of Université de Cergy Pontoise
  • PhD thesis on the implementation of a preattentional system with spiking neurons, in LIMSI-CNRS, under the supervision of Philippe Tarroux and Hélène Paugam-Moisy in 2009.
  • Moniteur (french TA) in Computer Science Department of IUT Orsay.

PhD supervision:

  • Sébastien Velut, ANR grant, “Understanding and handling the intra-user variability in passive and reactive BCI”, 50% co-supervision with Frederic Dehais (Supaero, Toulouse) and Marie-Constance Corsi (Inria, Paris Brain Institute), started in November 2023.
  • Thibault de Surrel de Saint Julien, ANR Grant, “Learning context invariant representation in EEG data”, co-supervision with Florian Yger (LAMSADE, PSL) and Fabien Lotte (Inria, Bordeaux) started in November 2023.
  • Bruno Aristimunha Pinto, cotutella with UFABC (Brazil), “Deep learning for electroencephalography”, 30% co-supervision with Marie-Constance Corsi (Inria, Paris Brain Institute) and Raphael Y. de Camargo (UFABC, Brazil), started in October 2023
  • Manon Verbockhaven, ministerial grant, “Detecting lack of expressivity of neural achitecture and handling with growing architecture”, 25% cosupervision with Guillaume Charpiat (Inria TAU, LISN), started in October 2021.
  • Apolline Mellot, Inria grant, “Statiscal learning and domain adaption for enhancing the mesurement of cerebral health from M/EEG signal”, 50% supervision with Alexandre Gramfort (Meta) and Denis Engemann (Roche), started in October 2021
  • Maria Sayu Yamamoto, ANR UDOPIA-DATAIA grant at Université Paris-Saclay, “Similarity-based Classification with Riemannian methods for high dimensional EEG”, 50% supervision with Florian Yger, started in March 2021
  • Isabelle Hoxa, ministerial grant (MESRI) in Université Paris-Saclay,“Study of EEG anticipatory signals linked to perceptual decision making”, co-supervision with Michel-Ange Amorim and Arnaud Delorme, started in October 2020
  • Amina Alaoui-Belghiti, industrial grant (CIFRE) between UVSQ and Nexeya-Hensoldt, “Analysis and fault prediction: toward an automatic and predictive maintenance”, 100% supervision, defended in November 2021 (3 years)
  • Jinan Charafeddine, joint supervision UVSQ and Université Libanaise (Liban), “Caractérisation et Intégration des signaux musculaires pour le pilotage d’un exosquelette des membres inférieurs lors d’activités locomotrices”, 30% supervision, defense defended in January 2021 (3,8 years, with covid suspension)
  • Emmanuel Kalunga, joint supervision between UVSQ and Tshwane University of Technology (South Africa), “Toward User-adapted Brain-Computer Interfaces : Robust Interactions and Machine Learning based on Riemannian Geometry”, 50% supervision, defended in August 2017 (3,5 years)
  • Hugo Martin, industrial grant (CIFRE) between UVSQ and Bouygues Construction International, “Building Information Modeling: manipulate and visualize professional knowledge”, 70% supervision, defended in December 2016 (3,5 years)

Academic curriculum vitae

You can find my full CV here (in French)