CV
My curriculum
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:
- Théo Rudkiewicz, CDSN grant, “Neural network growth for frugal learning”, 60% co-supervision with Guillaume Charpiat, start in October 2024.
- Styliani Douka, European grant, “Strategies for Neural Architecture Growth”, 65% co-supervision with Guillaume Charpiat, started in January 2024.
- 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”, supervision with Fabien Lotte, 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, defended in July 2023 (2 years, 9 months)
- 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)