Alexandre Barachant
Signal Processing PhD & Electrical Engineer
B [email protected]
Í alexandre.barachant.org
Education
2012 PhD – Signal Processing, Grenoble University.
Thesis : "Robust control of an actuator by an asynchroneous EEG-based brain computer interface" in
the laboratory, CEA-LETI, Grenoble.
Supervisor : Christian Jutten
2008 Master degree, Grenoble Institute of Technology.
Major : Signal, Image, Speach and Telecommunication
2008 Engineering degree, Grenoble Institute of Technology.
Major : Hardware system for Signal Processing
2005 Bachelor degree, Grenoble Institute of Technology.
Major : Electrical Engineering
Working Experience
Nov. 2014 Postdoc, Burke Medical Research Institute - Cornell University, White-plains, NY, US.
today Study the effect of trans-cranial direct current stimulation on the cortical networks during rehabilitation
for children with cerebral palsy.
March 2012 Postdoc, GIPSA-LAB, CNRS, Grenoble, France.
August 2013 Development, implementation and test of new signal processing methods for analysis of EEG signals.
In charge of the signal processing workpackage for two National Research (ANR) projects :
1. Development of an online, adaptive and automatic artefact detection method for EEG signal
(project OpenViBE2).
2. Development of a new classification method for ERP detection in a P300 virtual keyboard
(project RoBIK).
January 2009 PhD thesis, CEA-LETI, Grenoble, France.
March 2012 Conception of algorithms and conduct of experiments for the creation of a motor imagery-based brain
computer interface. Main results are :
1. Introduction of a new and original classification framework based on Riemannian Geometry.
2. Creation of asynchronous Brain Switch allowing the user to control its environment through a
home automation device.
Feb. 2008 Internship, CEA-LETI, Grenoble, France.
June 2008 5-months internship. Implementation of a state-of-the-art brain computer interface in order to initiate
this new activity in the lab.
Oct. 2007 Junior Engineer, RC-Lux, Grenoble, France.
January 2008 Part time job during my last year of Engineering school : Conception and manufacture of electronic
circuit board in order to improve the efficiency of the UV-plasma bulbs developed by the start-up
RC-Lux.
June 2007 Internship, RC-Lux, Grenoble, France.
August 2007 3-Months Internship in the RC-Lux start-up : Devellopment of a Labview-driven test bench for
measuring efficiency of UV-plasma bulbs.
Skills & Interests
Signal Processing & Machine Learning.
Specialized in Multivariate signal processing such as blind source separation and spatial filtering with
a focus on covariance analysis through information geometry. Deep knowledge of machine learning
algorithms with a focus on their adaptive and online implementations.
Computer Science.
Programming : Matlab, Python, Ruby, C/C++, Javascript. Deep knowledge of GNU/Linux and the
open source community. Follow the "Best Coding Practices" (CVS, Unit testing, documentation, ...)
Electronics.
Design and conception of analog circuits, from the schematic to the PCB. Deep knowledge of the Open
Hardware community.
Hobbies.
Co-founder of the Openplacos project, an open source software and hardware project for Home
automation. Member of the Grenoble HackerSpace. Craft Beer Brewing.
Awards & Prizes
Winner of the DecMeg2014 Challenge.
First place at the DecMeg2014 kaggle challenge. An International Data analysis challenge about
cross-subject classification of Evoked potential with MEG signals.
Winner of the BCI Challenge 2015.
First place at the BCI 2015 kaggle challenge. An International Data analysis challenge about
cross-subject classification of Error Related potential.
Bibliography
Journals
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. Classification of covariance matrices
using a riemannian-based kernel for bci applications. Neurocomputing, 2013.
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. Multi-class brain computer interface
classification by riemannian geometry. IEEE Transactions on Bio-Medical Engineering, 2012.
International Conferences
M. Congedo, A. Barachant A Special Form of SPD Covariance Matrix for Interpretation and
Visualization of Data Manipulated with Riemannian Geometry. In MaxEnt 2014
A. Barachant, A. Andreev, and M. Congedo. The riemannian potato : an automatic and
adaptive artifact detection method for online experiments using riemannian geometry. In TOBI
Workshop lV, 2013.
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. BCI signal classification using a
riemannian-based kernel. In European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning (ESANN), 2012.
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. A Brain-Switch using riemannian
geometry. In Proceedings of the 5th international Brain Computer Interface conference, pages
64–67, 2011
A. Barachant and S. Bonnet. Channel selection procedure using riemannian distance for BCI
applications. In 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER),
pages 348–351. IEEE, 2011.
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. Common spatial pattern revisited
by riemannian geometry. In IEEE International Workshop on Multimedia Signal Processing
(MMSP), pages 472–476, 2010.
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. Riemannian geometry applied to BCI
classification. In 9th International Conference Latent Variable Analysis and Signal Separation
LVA/ICA, volume 6365 LNCS, pages 629–636, 2010.
T. Aksenova, A. Barachant, and S. Bonnet. Spatial filtering optimisation in motor imagery
EEG-based BCI. In NeuroComp08, pages 213–216, 2008.
French National Conferences
A. Barachant, M. Congedo, and C. Jutten. Classification de potentiels évoqués P300 par
géométrie riemannienne pour les interfaces cerveau-machine EEG. In 24ème colloque GRETSI,
2013.
A. Barachant, S. Bonnet, M. Congedo, and C. Jutten. Réalisation d’un Brain-Switch EEG par
géométrie riemannienne. In 23ème colloque GRETSI, 2011.
A. Barachant, T. Aksenova, and S. Bonnet. Filtrage spatial robuste à partir d’un sous-ensemble
optimal d’électrodes en BCI EEG. In 22ème colloque GRETSI, 2009.
Pattent
A. Barachant, S. Bonnet. Method and system for classifying neuronal signals and method for
selecting electrodes for direct neuronal control, Janvier 2012.
Preprints
M. Congedo, A. Barachant, A. Andreev. A New Generation of Brain-Computer Interface Based
on Riemannian Geometry. ArXiV, 2013.
A. Barachant, M. Congedo. A Plug&Play P300 BCI Using Information Geometry. ArXiV,
2014.