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Sylvain Chevallier
Full Professor at LISN-CNRS, Université Paris-Saclay
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Open access
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Documents
Current affiliations
- 1066529
- 1061259
Researcher identifiers
sylvain-chevallier
- Arxiv : chevallier_s_1
- IdRef : 142286826
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0000-0003-3027-8241
- Google Scholar : https://scholar.google.fr/citations?user=j5Tu_SQAAAAJ&hl=fr
Presentation
After a PhD on bio-inspired robotic vision at LIMSI CNRS, I was a post-doc fellow in the neurocybernetic team of ETIS. I embraced a more machine learning centric approach to analyse EEG for Brain-Computer Interface (BCI) during two post-doc, one at INRIA and one at Telecom ParisTech. I worked as assistant professor at LISV, Université de Versailles-St Quentin on BCI for rehabilitation robotics, using Riemannian geometry and time series analysis. I am now full professor in A&O team of LISN-CNRS, Université Paris-Saclay.
Publications
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Functional connectivity ensemble method to enhance BCI performance (FUCONE)IEEE Transactions on Biomedical Engineering, inPress, pp.1-1. ⟨10.1109/TBME.2022.3154885⟩
Journal articles
hal-03594331v1
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Riemannian geometry for combining functional connectivity metrics and covariance in BCISoftware Impacts, 2022, 12, pp.100254. ⟨10.1016/j.simpa.2022.100254⟩
Journal articles
hal-03772666v1
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Riemannian Geometry on Connectivity for Clinical BCIICASSP 2021, Jun 2021, Toronto / Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414790⟩
Conference papers
hal-03202349v1
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