Sylvain Chevallier
Full professor, LISN - Univ. Paris-Saclay
LISN
1 rue Rene Thom
91190 Gif-sur-Yvette - FRANCE
Ph: +33/01 69 15 62 85
I am full professor at LISN-CNRS, and the head of the AO team, a joint INRIA team (co-head G. Charpiat), that focuses on machine learning and stochastic optimization. I work mostly on timeseries analysis and manifold optimization. I teach at the Computer Science departement of IUT d’Orsay and in the Master AI. I follow and promote open science guidelines, including for sharing data and codes. I am the lead developer of MOABB, to push the reproducibility of research on brain-computer interfaces and to ensure a fair and open benchmarks of all machine learning pipelines on those data. I am in charge of the PyRiemann package, that define machine learning algorithm for processing timeseries through the Riemannian geometry of symmetric positive definite matrices. I am the author of MDLA, a framework for dictionary learning on multivariate time series. I contribute to various open source projects, such as and pymanopt, Geomstats and others.
I serve as president for Cortico, the French academic association promoting the advances in brain-computer interface. Cortico hosts a two-day conference every year: Bordeaux in 2017, Toulouse in 2018, Lille in 2019, online in 2021 and Grenoble in 2022 and Paris in 2023.
Previously, I was actively working in the handicap workgroup of Universite Paris-Saclay. We have organized the Handiversite meeting in 2016, 2018, 2021 and 2023. Specific efforts are made for promoting and teaching computer accessibility, with a mission to coordinate global policy for general accessibility and inclusion in Universite Paris-Saclay.
Past position:
- Associate Professor at LISV, in team Assistance & Interface that focuses on assistive robotics.
- Post-doc fellow in LTCI (Signal processing department, Telecom 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 Universite 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 Helene Paugam-Moisy.
news
Nov 9, 2022 | Our approach on functionnal connectivity for BCI out in IEEE Trans. BioMedEng! Called Fucone, as the old Corsican word, the code is available on GitHub, relying mostly on MOABB and Pyriemann. |
Nov 9, 2022 | Our paper on Bayesian accumulation for Riemannian probabilities applied to P300 speller is out! The live demo is available with Timeflux and the paper’s code is on GitHub |
Oct 20, 2022 | I co-organized the IFRATH/Cortico miniconference on brain-computer interface and handicap in Paris. |
Oct 11, 2022 | I gave an interview in the French Podcast “Dans la handitech”, by Julie Preciat and Paris&Co. |
Jul 17, 2022 | New PyRiemann version out! There are nice addition in this new version, see this thread |
May 31, 2022 | Isabelle Hoxha is finalist of the national contest “Ma Thèse en 180 secondes”, the replay of her talk is available here |
Apr 9, 2022 | Isabelle Hoxha is a national finalist of MT180 (Ma Thèse en 180s), the last part will be held the 31st of May in Lyon. |
Feb 22, 2022 | A new version of MOABB is available in PyPi! With new datasets, visualisation and bug fixing, check the documentation here. |
Feb 14, 2022 | Paper describing winning solution of Beetl NeurIPS competition and take home message is out on arXiv. It will be published in JMLR. |
Nov 24, 2021 | I organized the Brain Age Prediction Challenge from EEG, with Sebastien Treguer, to estimate age of infants from brain signals. All details are available on the competition website. |