Supervision
Post-docs
2022: Cécilia Ostertag, "Natural Langage Processing of BCI users' mental strategie reports"
2021-2022: Sébastien Rimbert, "Towards a theory of Mental-Task-based Brain-Computer Interface user training"
2019-2021: Seyedeh Khadijeh Sadatnejad, "Redefining EEG Signal Processing and Machine Learning to ensure efficient Mental Imagery-based BCI user training"
2013-2014: Christian Mühl, “Inducing, measuring and estimating stress levels in brain and physiological signals”
PhD students
Current
Local supervision (as part of team Potioc)
2022-2025 (expected): Marc Welter (PhD candidate in Computer Science, Univ. Bordeaux), "Designing passive hybrid Brain-Computer Interfaces to estimate User eXperience in virtual galleries".
2021-2024 (expected): David Trocellier (PhD candidate in Computer Science, Univ. Bordeaux), "Artificial Intelligence-based non-invasive Neurotechnologies for personalized post-stroke motor rehabilitation", co-supervised with Bernard N'Kaoua
Distant co-supervision:
2022-2024 (expected): Maria Sayu Yamamoto (PhD candidate in Computer Science, Univ. Paris Saclay, Saclay, France): "Riemannian geometry-based EEG classification based on similarity". Co-supervised with Sylvain Chevallier.
2021-2024 (expected): Côme Annicchiarico (PhD candidate in Neuroscience and Cognition, Univ. Claude Bernard Lyon 1 / Inserm CRNL, Lyon, France): "Neurocomputational Modeling of Neurofeedback-like brain training". Co-supervised with Jérémie Mattout
Completed
2019-2022: Aline Roc (PhD candidate in Computer Science, Univ. Bordeaux), "Design, study and optimisation of adapted exercises for brain-computer interface user training".
Defended December 13th, 2022
2018-2021: Camille Benaroch, "Contribution to the understanding of mental task BCI performances using predictive computational models" - co-supervised with Camille Jeunet.
Defended December 17th, 2021
2017-2020: Aurélien Appriou (PhD candidate in Computer Science, Univ. Bordeaux), "Estimating learning-related mental states from EEG and physiological signals"
Defended December 17th, 2020
2016-2019: Léa Pillette (PhD candidate in Computer Science, Univ. Bordeaux), "Redefining and Adapting Feedback for Mental-Imagery based Brain-Computer Interface User Training to the Learners’ Traits and States ", co-supervised with Bernard N'Kaoua
Defended December 16th, 2019
2016-2019: Jelena Mladenovic (PhD candidate in Computer Science, Univ. Bordeaux): “Computational Modeling of User States and Skills for Optimizing BCI Training Tasks", co-supervised with Jérémie Mattout
Defended September 10th, 2019
2013-2016: Camille Jeunet (PhD candidate in Cognitive Sciences, Univ. Bordeaux): “Understanding & Improving Mental-Imagery Based Brain-Computer Interface (MI-BCI) User-Training : towards A New Generation Of Reliable, Efficient & Accessible Brain- Computer Interfaces ", co-supervised with Martin Hachet, Bernard N'Kaoua and Sriram Subramanian
Defended December 2nd, 2016
Awarded the PhD thesis award from the international PhD award committee from Bordeaux University in 2017: https://college-doctoral.u-bordeaux.fr/Actualites/Resultats-prix-de-These-2017
Awarded the PhD thesis award from IFRATH/KAELIS in 2017: http://www.kaelis.org/content/camille-jeunet-laur%C3%A9ate-du-prix-ifrathkaelis
Awarded the PhD thesis Award from the SMC Grant Initiative 2017 for the “Best PhD Thesis in Human-Machine Systems”, 2017: http://ieeesmcinfo.smc2016.hu/winners/
2012-2015: Jérémy Frey (PhD candidate in Computer Science, Bordeaux University): “Leveraging human-computer interactions and social presence with physiological computing”, co-supervised with Martin Hachet.
Defended December 8th, 2015
Distant co-supervision:
2014-2017: Lorraine Perronnet (PhD candidate in Computer Science, Rennes University): “Combining EEG and fMRI for Neurofeedback”, co-supervised with Anatole Lécuyer (co-director), Christian Barillot (co-director) and Maureen Clerc (co-supervisor)
Defended September 7th, 2017
Other
2014-...: Stephanie Lees (PhD candidate in Computer Science, Ulster University, UK): “Assessing and Optimising Human-Machine Symbiosis through Neural signals for Big Data Analytics”, co-supervised with Damien Coyle, Paul McCullagh and Liam Maguire
Engineers
2022-2025 (expected): Axel Bouneau: "Developing passive Brain-Computer Interfaces systems and experiments with the OpenViBE platform"
2021-2023 (expected): Pauline Dreyer: "EEG data and experiments manager"
2020-2023 (expected): Thomas Prampart (avec Anatole Lécuyer): "Lead engineer of the OpenViBE plaftform"
2018-2022 (expected): Thibaut Monseigne: "Implementing brain signal processing tools and Brain-Computer Interface applications in the OpenViBE software platform"
2015-2016: Boris Mansencal: "Designing and developping a learning companion for BCI training", co-supervised with Camille Jeunet
2012-2014: Alison Cellard: "EEG Signal Processing algorithms and visualization tools for the OpenViBE platform"
Visiting PhD students
2022-2023: Zachary Traylor, (North Carolina State Univ., USA), “Understanding when and why Deep Learning and Riemannian classifiers are the best in BCI”
2018: Mehdi Bugallo (PhD student in psychology, University of Minho, Portugal), "Operant Conditionining in BCI and Neurofeedback training" (co-supervised with Jean-Arthur Micoulaud-Franchi)
2017: Zhu Li (Visiting PhD student at RIKEN Brain Science Institute, Japan), "Multi-user emotion recognition and hyperscanning"
2016: Andreas Meinel (PhD student from Freiburg University, Germany), "Regularizing SPoC spatial filters for single trial regression of EEG signals"
2013: Nicoletta Caramia (PhD student in Biomedical engineering, University of Pavia, Italy), "Optimizing spatial filter pairs for EEG classification based on phase synchronisation"
Other visitors supervised
2019: Alejandro Torres Garcia (Post-doc from the Norwegian University of Science and Technology (NTNU)), "Can we decode attention to colours from EEG?"
2018: Satyam Kumar (IIT Kanpur Master graduates), "Adaptive Classification using Riemannian Geometry for BCI"
Master Students
2022: Jordan Azzouguen (Master Student in Cognitive Science, 2nd year, Univ Bordeaux), "Variability of task in BCI for a better experience", co-supervised with Aline Roc and David Trocellier
2021: Nibras Abo Alzahab (Master Student from the Polytechnical University of Marche, Italy), "Estimating users' cognitive load during motor-imagery BCI use", co-supervised with Aline Roc
2021: Alper Er (Master student in Biomedical images and signals, Univ. Aix-Marseille), "Computational Modelling of the feedback influence during brain-computer user training", co-supervised with Camille Benaroch and Camille Jeunet
2021: Smeety Pramij (Master Student in Neurosciences, 2nd year, Univ. Bordeaux), "“Users rule!”: Introducing choices in MT-BCI user training", co-supervised with Aline Roc
2020: Alina Lushnikova (Master Student in Cognitive Science, 1st year, Univ Bordeaux), "Investigating the patterns of positive and negative feedback in BCI application", co-supervised with Khadijeh Sadatnejad
2020: David Trocellier (Master student bioinformatics and modelling, 1st year, Sorbonne University), "Towards measuring states of curiosity through Electroencephalography and body sensors responses", co-supervised with Aurélien Appriou
2020: Geoffrey Canron (Master student in Biomedical Engineering / Cognitive Science, last year, Grenoble INP Phelma - intern at Inria Nancy-Grand Est / LORIA, Nancy), "Design of an efficient brain-computer interface without calibration phase specialized in motor activity detection", co-supervised with Laurent Bougrain and Sébastien Rimbert
2020: EidanTzdaka (Master student in biomedical engineering and neurosciences, 1st year, ESPCI/Paris Descartes), "Modelling learning during brain computer user training using neurophysiological predictors", co-supervised with Camille Benaroch and Camille Jeunet
2020: Lena Kolodzienski (Master student in Cognitive Psychology, Univ. Montpellier), "Towards understanding the impact of mental task execution on user's state, experience and performances", co-supervised with Aline Roc and Aurélien Appriou
2019: Smeety Pramij (Master Student in Cognitive Science, 1st year, Univ Bordeaux), "detecting and manipulating mental states related to user learning in brain-computer interfaces", co-supervised with Jelena Mladenovic and Aurélien Appriou
2019: Romain Sabau (Master Student in Cognitive Science, 2nd year, Univ Bordeaux), "Studying, implementing and validating and BCI for post-stroke rehabilitation", co-supervised with Léa Pillette
2019: Marion Le Goff (Master Student in Biomedical Engineering and Neuroscience, Master BME, Univ Paris Descartes), "Analysing prognostic EEG and psychometrics factors of a neurofeedback protocol", co-supervised with Jean-Arthur Micoulaud Franchi
2018: Anais Grimal (Master Student in Mathematics, 1st year, Univ Lyon), "Modelling the influence of the feedback in BCI user training"
2018: Thibaut Monseigne (Master Student in Computer Science, 2nd Year, Univ Bordeaux), "Designing and implementing neurofeedback protocols with OpenViBE", co-supervised with Jean-Arthur Micoulaud-Franchi
2018: Aline Roc (Master Student in Cognitics, 3rd year ENSC), "The influence of the experimenter on BCI results”, co-supervised with Léa Pillette
2018: Camille Benaroch (Master student in Biomedical Engineering and Neuroscience, Master BME, Paris), “Modelling Learning during Brain Computer Interfaces User Training”, co-supervised with Camille Jeunet
2016: Manon-Bonnet Save (Master Student in Computer Science and Cognitive Science, 1st year ENSC), "Studying the impact of Flow on Motor Imagery-based BCI performances", co-supervised with Jelena Mladenovic and Jérémy Frey
2016: Benjamin Muzart (Master student in cognitive science, Bordeaux University), "The impact of adaptive pre-training to BCI feedback on BCI performances", co-supervised with Camille Jeunet
2016: Suzy Teillet (Master student in Cognitics, 3rd year ENSC), “Spatial ability training to improve Brain-Computer Interface performances with healthy and stroke patients”, co-supervised with Camille Jeunet
2016: Léa Pillette (Master student in Cognitics, 3rd year ENSC), “Design and Evaluation of a learning companion for Brain-Computer Interface training”, co-supervised with Camille Jeunet, Jérémy Frey, Boris Mansencal
2015: Maxime Daniel (Master student in Computer Science, Bordeaux University), "Assessing workload, attention and error recognition in EEG signals during 3D navigation tasks", co-supervised with Jérémy Frey and Julien Castet
2015: Emilie Jahanpour (Master student in Cognitive Science, Bordeaux University), "Can we learn BCI control skill with standard training protocols?", co-supervised with Camille Jeunet
2014: Julia Schumacher (Master student in Computational Neuroscience, BCCN, Germany), "Explanatory feedback for Brain-Computer Interface training"
2014: Loïc Renault (Master student in Neurosciences, Bordeaux University), "The impact of self-paced training on BCI performances"
2014: Joao-Pedro berti Ligabo (Master student, Institut d'Optique Graduate School), "EEG signal denoising in OpenViBE", co-supervised with Alison Cellard
2014: Dennis Wobrock (Master student in Cognitics, ENSC), "Physiological computing for 3D user interaction", co-supervised with Julien Castet
2013: Camille Jeunet (Master student in Cognitive Sciences, Bordeaux University), "Inducing and measuring stress in brain and physiological signals", co-supervised with Christian Mühl
2013: Leonard Pommereau (Master student in Cognitive Sciences, Bordeaux University), "Assessing comfort during stereoscopic visualization using EEG signals", co-supervised with Jérémy Frey and Martin Hachet
2008: Thomas Ernest (Master student in Computer Sciences, INSA Rennes), “Development of a Virtual Reality application for visiting a virtual museum by thoughts”, co-supervised with Anatole Lécuyer and Yann Renard
2008: Jean-Baptiste Sauvan (Master Student in Electronics/Computer Sciences, Supelec), “Design and evaluations of BCI for 3D interactions with virtual worlds”, co-supervised with Anatole Lécuyer and Yann Renard
2007: Bruno Renier (Master student in Computer Sciences, INSA Rennes), “Towards a BCI prototype using the OpenViBE platform”, co-supervised with Anatole Lécuyer and Yann Renard