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.

Supervision

PhD students:

  • Ferdinand Louâpre, MESR doctoral grant, Université Paris-Saclay: “Estimating the expressivity of neural networks”. 50% supervision, co-supervised with Guillaume Charpiat (Inria). Starts on October 1, 2026.

  • Théo Rudkiewicz, CDSN doctoral contract (ENS): “Neural network growth for frugal learning”. 70% supervision, co-supervised with Guillaume Charpiat (Inria). Started on October 1, 2024.

  • Stella Douka, Horizon Europe contract, Université Paris-Saclay: “Strategies for neural architecture growth”. 65% supervision, co-supervised with Guillaume Charpiat (Inria). Started on January 1, 2024.

  • Thibault de Surrel, ANR contract, Univ. Paris Dauphine, PSL: “Learning context-invariant representations for EEG data”. 35% supervision, co-supervised with Fabien Lotte (Inria) and Florian Yger (Dauphine, then INSA Rouen). Defense planned on November 6, 2026 (2 years 11 months).

  • Sébastien Velut, ANR contract, ISAE SupAero, Toulouse: “Understanding and handling intra-user variability in passive and reactive brain-computer interfaces”. 35% supervision, co-supervised with Frédéric Dehais (ISAE SupAero) and Marie-Constance Corsi (Inria). Defense planned on November 2, 2026 (3 years).

  • Bruno Aristimunha, cotutelle contract, Université Paris-Saclay and UFABC, Brazil: “Learning electroencephalogram representations with deep learning”. 30% supervision, co-supervised with Marie-Constance Corsi (Inria) and Raphael Camargo (UFABC). Defended on March 24, 2026 (3 years 3 months).

  • Manon Verbockhaven, MESR doctoral grant, Université Paris-Saclay: “On the lack of expressivity of neural networks and its optimal resolution by architecture growth”. 25% supervision, co-supervised with Guillaume Charpiat (Inria). Defended on March 28, 2025 (3 years 3 months).

  • Apolline Mellot, MESR doctoral grant, Université Paris-Saclay: “Statistical learning and domain adaptation for improving brain health measurement from MEG and EEG signals”. 50% supervision, co-supervised with Alexandre Gramfort (Inria, then Meta) and Denis Engemann (Inria, then Roche). Defended on November 8, 2024 (3 years 1 month).

  • Maria Sayu Yamamoto, ANR-UDOPIA excellence grant, Université Paris-Saclay: “Similarity learning with Riemannian methods for high-dimensional EEG data”. 50% supervision, co-supervised with Florian Yger (LAMSADE, Univ. Paris-Dauphine) and Fabien Lotte (Inria Bordeaux). Defended on December 2, 2024 (3 years 7 months).

  • Isabelle Hoxha, MESR doctoral grant, Université Paris-Saclay: “Neurocognitive mechanisms of perceptual anticipation in decision making”. 30% supervision, co-supervised with Michel-Ange Amorim (CIAMS, Paris-Saclay) and Arnaud Delorme (CNRS, UCSD). Defended on July 3, 2023 (2 years 9 months).

  • Amina Alaoui-Belghiti, CIFRE contract, UVSQ and Nexeya-Hensoldt: “Predicting abnormal situations with machine learning for predictive maintenance: optimal transport approaches for anomaly detection”. 100% supervision, funded by Nexeya. Defended on November 8, 2021 (3 years 2 months, including a Covid suspension).

  • Jinan Charafeddine, cotutelle contract, UVSQ and Lebanese University (Lebanon): “Characterization and integration of muscle signals for controlling a lower-limb exoskeleton during locomotor activities”. 30% supervision, with Didier Pradon and Samer Alfayad, Lebanese funding. Defended on January 12, 2021 (3 years 10 months, including a Covid suspension).

  • Emmanuel Kalunga, cotutelle contract, 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, with Eric Monacelli, project funding. Defended on August 30, 2017 (3 years 5 months). Now Lead Data Scientist at OrderIn (Cape Town).

  • Hugo Martin, CIFRE contract, UVSQ and Bouygues Construction: “Digital model for construction: structuring and visualizing professional knowledge”. 70% supervision, funded by Bouygues, co-supervised with Eric Monacelli. Defended on December 7, 2016 (3 years 7 months). Now expert consultant at C2S Bouygues.

Master 2 interns (18)
  • Ferdinand Louâpre, M2 intern, Mines PSL (April–September 2026), with Guillaume Charpiat: "Characterizing uncertainty in neural network expressivity"
  • Santiago Florido Gomez, M2 intern, ENSTA (June–September 2026), with Stéphane Rivaud: "Neural architecture search with neural network growth approaches"
  • Meriem Daichi, M2 intern, Univ. Montpellier (May–September 2026), with Marie-Rose Randriamarolo (Uni LaSalle, Beauvais) and Hanitra Randrianasolo (IDEST): "Predicting agricultural risks and adapting to climate change"
  • Adam Mounir, M2 intern, EFREI (June–October 2026), in collaboration with the company YNeuro: "Growing neural models for brain signal analysis"
  • Felix Houdouin, M2 intern, X-MVA (June–September 2025), with Guillaume Charpiat: "Optimizing neural network weights without explicit gradient computation"
  • Théo Rudkiewicz, M2 intern, ENS-MVA (June–September 2024), with Guillaume Charpiat: "Growth for convolutional networks and tensor factorization"
  • Salim Khazem, M2 intern, RAM Paris-Saclay (October–February 2021), as part of a research project: "Transfer learning in BCI"
  • Maria Sayu Yamamoto, M2 intern, Bio-Signal Processing, TUAT, Tokyo (March–October 2020): "Similarity-based Classification for Brain-Computer Interface"
  • Insaf Boguezine, M2 intern, RAM Paris-Saclay (April–August 2019): "Detecting drowsiness onset while driving with dry electrodes"
  • David Gérard, M2 intern, PCMPS Université Paris-Sud (February–April 2019), with Michel-Ange Amorim, 50% supervision: "Influence of response strategies on brain activity in repetitive tasks"
  • Amina Alaoui-Belghiti, M2 intern, RAM Paris-Saclay (February–June 2017): "Prototype for EEG-based hypovigilance detection"
  • Mayssa Hammami, M2 intern, RAM Paris-Saclay (October–March 2017): "Brain interface for detecting breathing difficulties"
  • Ayoub Jebri, M2 intern, RAM Paris-Saclay (October–June 2016): "Evaluating electroencephalogram components with deep neural networks"
  • Olga Kamozina, M2 intern, Complex Systems Engineering, Université de Cergy-Pontoise (September–March 2014): "Towards presence categorization with a reservoir of neurons"
  • Yasaman Mofid, M2 intern, STS Caen (April–July 2013): "Virtual reality interactions for rehabilitation"
  • Mekhtoub Belaid, M2 intern, CSER, UVSQ (September–February 2013): "Categorizing ground vibration signatures for exploration with a white cane"
  • Emmanuel Kalunga, MSc intern, Tshwane University of Technology, South Africa (December 2011–June 2012): "Extending the touchless interface with a hybrid brain interface"
  • Hugo Martin, M2 intern, CSER, UVSQ (September–February 2012): "Learning and recognizing hand movements to control a robotic exoskeleton"
Other interns (25)
  • Oualid Chabane, M1 intern, Computer Science, Univ. Paris-Saclay (April–August 2026), with Lisheng Sun (DATAIA) and Jacques Peter (ONERA): "Preparing data challenges on aircraft wing lift"
  • Hugo Mousset, M1 intern, Centrale Lyon (April–September 2026), with Théo Rudkiewicz and Elie Saad: "Fixed-budget growth for low-rank adaptation"
  • Léo Burgund, M1 intern, Math & AI, Paris-Saclay (April–September 2025), with Stéphane Rivaud: "Growth for transformer architectures"
  • Marina Pereira-Garcia, M1 intern, McGill, Montréal (June–September 2025), with Stella Douka: "Developing a submission for the NAS Unseen Data challenge"
  • Phuoc Quang Ho, M1 intern, AI, Paris-Saclay (April–September 2024), with François Landes (LISN) and Timothée Flutre (INRAE): "Recognizing wheat grain varieties from multispectral images"
  • Michel Doroch, M1 intern, AI, Paris-Saclay (May–July 2024), with François Landes (LISN): "Pollinator classification from IR videos"
  • Taha Habib, M1 intern, ENSTA (June–September 2024), with Bruno Aristimunha: "Deep learning methods for multivariate EEG time series"
  • Bruna Junqueira, M1 intern, Univ. São Paulo, Brazil (June–September 2024), with Raphael Camargo (UFABC, Brazil), recipient of an international FAPESP grant: "Euclidean Alignment in deep learning for EEG signal classification"
  • Marie-Andrée Faye, M1 intern, Physics, UPMC (June–July 2019): "Influence of user bias on cognitive response in a repetitive detection task"
  • Yacine Gueye, IUT intern, RT (June–August 2019): "EEG signal analysis to identify user bias in a repeated detection task"
  • Alphonse Mengue, BTS intern, Computer Science (June–July 2019): "Setting up an internal messaging service in a Docker container"
  • Lamine Sylla, IUT intern, RT (April–June 2018): "Integrating and developing applications in Docker"
  • Joyce Nassar, M1 intern, Lebanese University (February–April 2018): "Automatic biomarker extraction for controlling a medical exoskeleton"
  • Mohammed Amraoui, CESI 2nd-year intern (February–March 2018): "Building an adapted and modular bodyboard"
  • Elhadji Mady Diouf, M1 intern, E3A (May–June 2018): "Temporal analysis of brain waves to detect theory-of-mind markers in patients with schizophrenia"
  • David Gérard, M1 intern, STAPS (March–June 2017): "Impact of mental imagery on cognitive load applied to tennis"
  • Issam Aggour and Majd Abazid, M1 intern, E3A (May–June 2017): "Real-time visualization of time series on a Raspberry Pi"
  • Adèle Wagner and Alice Mondjanagni, IUT intern, Computer Science (July–August 2016): "Serious game for an adapted pedestrian license"
  • Marwa Ben Taleb Ali, M1 intern, Ensta ParisTech (February–June 2016): "Characterizing temporal variations of brain activity with deep neural networks"
  • Romain Da Rocha, 2nd-year engineering intern, ISTY (May–September 2015): "Vectorizing computation code for Riemannian geometry"
  • Deividas Malcevas, L3 intern, Alytaus Kolegija, Lithuania (May–July 2015): "Creating a serious game in an immersive environment for wheelchair driving"
  • Franck Roussel, IUT intern, Computer Science (April–June 2014): "Study and design of an augmented reality interface"
  • Mindaugas Ardaravicius and Deividas Margelis, L3 intern, Alytaus Kolegija, Lithuania (April–June 2013): "Distributing computation processes over heterogeneous configurations"
  • Alexandre Vincendeau, IUT intern, Computer Science (April–June 2013): "Developing a graphical interface for signal processing in Python"
  • Arnaud Kabeya, M1 intern, Artificial Intelligence, Université de Cergy-Pontoise (January–May 2010): "Improving and evaluating visual attention mechanisms for controlling a robotic arm"

Academic curriculum vitae

You can find my full CV here (in French)