

Teaching activity and supervision
Teaching
Here is a short overview of the courses and practicals a gave:
2018: Lectures and practical courses in Linear models for machine learning (16 hours). Master 2 degree at ISAE/Supaero.
2018: Lectures and practical courses in Image Analysis (40 hours). Master 2 in Mathematical Engineering. Université Paul Sabatier.
2018: Practical courses in Statistics (8 hours). Master 2 degree at ISAE/Supaero.
2018: Lectures and practical courses in Machine Learning (18 hours). Students of various levels from HoChiMinh city area (M1 students to university lecturers  course/practicals in the context of a two weeks spring school). VNUHCM  University of Science, HoChiMinh city, Vietnam.
2018: Lecture and practical course in GPU computing (4 hours). Master 2 degree at ISAE/Supaero.
2017: Lectures and practical courses in Image Analysis (32 hours). Master 2 in Mathematical Engineering. Université Paul Sabatier.
2017: Practical courses in Statistics (16 hours). Master 2 degree at ISAE/Supaero.
2016: Lectures and practical courses in Image Analysis (8 hours). Master 2 in Mathematical Engineering. Université Paul Sabatier.
2016: Practical courses in Statistics (16 hours). Master 2 degree at ISAE/Supaero.
2005/2006: Tutorials in Stochastic Process applied to heterogeneous media (probability, fractal analysis, Brownian motion, Taylor dispersion).
Masters degree in mechanics. Université Paul Sabatier.
2005/2006: Lectures and practical courses in Computational Fluid Mechanics (lecture notes).
The resolution methods for non linear PDEs in 1D and 2D are developed in this lecture.
Masters degree in mechanics. Université Paul Sabatier.
2005/2006: Projects in Numerical simulation. Masters degree in mechanics. Université Paul Sabatier.
2005/2006: Practical courses in Fluid Mechanics. Preliminary degree in Mathematics and Computer Science applied to Sciences. Université Paul Sabatier.
2004/2005: Lectures and practical courses in Computational Fluid Mechanics. Université Paul Sabatier.
2004/2005: Project in Numerical simulation (Doubly driven cavity).
Masters degree in mechanics. Université Paul Sabatier.
2004/2005: Tutorials in Point Mechanics. Preliminary degree in Mathematics and Computer Science applied to Sciences. Université Paul Sabatier.
2003/2004: Lectures and practical courses in Computational Fluid Mechanics. Université Paul Sabatier.
2003/2004: Tutorials in Point mechanics. Preliminary degree in Mathematics and Computer Science applied to Sciences. Université Paul Sabatier.
Technical seminars and scientific popularization
November 2018: Introduction to Machine Learning. Two hours talk at the CNRSINRA ongoing training event (action de formation) APSEM2018 (slides in French).
November 2018: Using TPUs in Deep Learning. One hour seminar at the National Institute for Space and Aeronautics (ISAESupaero).
January 2018: Introduction to GPU computing and OpenCL. Three hours seminar for Master students at the National Institute for Space and Aeronautics (ISAESupaero).
July 2017: JDEV 2017 (Development days  CNRS/INRIA/IRSTEA/INRA/IRD ongoing training event), Marseille. Lecture notes (in French):
 T7 AP01 (Initiation à Python),
 T7 A01 (Python Apprentissage),
 T7 GT02 (Retour d'experience sur OpenCL),
 T7 GT03 (Python Pandas vs R),
 T7 plénière (Apprentissage statistique pour la recherche par les données).
January 2017: A short introduction to GPU computing and OpenCL. Seminar statistics  engineering, gathering applied statisticians from different labs in Toulouse (slides in French).
November 2016: Three applications of data mining. Seminar for Master students at
Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et des Télécommunications (INP ENSEEIHT), Toulouse.
March 2015: Mathematical Engineering, what is that? Seminar to explain to high school students what can be an engineer in applied mathematics  Formation métier Activités (slides in French. See also the slides of S. Déjean or a document edited by ONISEP).
October 2014: Introduction to Cytoscape for large graphs visualization and analysis. Seminar statistics  engineering, gathering applied statisticians from different labs in Toulouse (slides in French).
January 2014: Introduction to Python for scientists (slides in French). Institut de Mathématiques de Toulouse.
December 2013: Three applications of data mining. Seminar for Master students at
Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et des Télécommunications (INP ENSEEIHT), Toulouse.
March 2013: Using SVN for collaborative projects. Seminar statistics  engineering, gathering applied statisticians from different labs in Toulouse.
Ongoing training
Here are different practical lectures I gave to researchers and academic technical/administrative personnel.
January 2018: Data analysis and Machine learning with Python using the Scikitlearn module  Intermediate level. One day with courses and practicals at Observatoire MidiPyrénées.
April 2017: Python for Scientists  Intermediate level. Three days of courses and practicals at CNRS  Observatoire MidiPyrénées.
Lecture notes (in French):
July 2014: Introduction to R. Personnel from Université Paul Sabatier. (for more information, see Sébastien Déjean's webpage ).
June 2014: Introduction to statistics. Personnel from Université Paul Sabatier. (for more information, see Sébastien Déjean's webpage ).
July 2013: Introduction to R. Personnel from Université Paul Sabatier. (for more information, see Sébastien Déjean's webpage ).
June 2013: Introduction to statistics. Personnel from Université Paul Sabatier. (for more information, see Sébastien Déjean's webpage ).
Students supervision (last update: May 2018)
2018.: V. K. Ghorpade (Postdoc in applied mathematics at Mathematics Institute of Toulouse). Mutlimodal image registration of 3D wholebody medical images. Cosupervision with F. Malgouyres (Pr IMT).
2018: R. Vaysse (4th year Paul Sabatier University in applied maths for data mining  5 months). Statistical analysis of data out of speech samples for Parkinson's disease detection. Cosupervision with S. Déjean (IR UPS) and J. Farinas (Mcf UPS  UMR5505)
2018: L. Barros (3rd year IUT Computer Science Toulouse  3 months). Embedding Python, C++ and R apps with Docker.
2018: L. Riou (2nd year prepa INPT  6 weeks). GPU optimization of a stochastic algorithm by interfacing R and OpenCL. Cosupervision with Dr. P Neuvial (CR CNRS IMT)
2017.: C. Champion (PhD student in applied mathematics at INSERM/Mathematics Institute of Toulouse). Development of new strategies for the analysis of complex data. Cosupervision with J.M. Loubes (Pr IMT) and R. Burcelin (DR INSERM).
2017: V. Brès (5th year student at ENSEEIHT in Applied Maths/Computer Science  6 months). GPU computing with OpenCL to speedup large graph clustering algorithms.
2017: S. Lebreton (5th year student at ENSEEIHT in Applied Maths/Computer Science  6 months). Development of a C++ plugin in 3DSlicer for the semiinteractive segmentation of 3D medical images. Cosupervision with F. Malgouyres (Pr IMT).
2017: N. Artigouha (4th year INSA Toulouse in Computer Science  2 months). Using the C++ Boost Graph Library to for the analysis of large graphs + Graph visualisation at predefined coordinates in Cytoscape (plugin here).
2016.: T. Trang Bui (PhD student in applied mathematics at INSA Toulouse/Paul Sabatier University). Development of new strategies for the analysis of complex data. Cosupervision with J.M. Loubes (Pr IMT) and P. Balaresque (CR1 CNRS, AMIS  UMR5288).
2016: D. Grasselly (4th year INSA Toulouse  3 months  Now student at INSA Toulouse). Development of a Matlab code for the registration of lung images with sliding conditions. Cosupervision with J. Fehrenbach Loubes (Mcf IMT/UPS).
2016: M. Verdier (4th year INSA Toulouse  3 months  Now student at INSA Toulouse). Development of a Python code for the induction of Bayesian networks from medical data .
2016: A. Martin (3rd year ENS Lyon  3 months  Now student at ENS Lyon). Development geodesic shooting algorithm for the registration of 3D medical images using OpenCL
.
2016: M. Ralle (5th year Univ. Paris Orsay  4 months  Now aggregate high school lecturer). Statistical analysis of the cochlear coil. Cosupervision with J.M. Loubes (PR IMT/UPS).
2016: S. Roudiere (2nd year prepa INPT  6 weeks  Now student at Phelma PET Grenoble). Devlopment of nonrigid registration algorithm in Python applied to the motion tracking of US heart images. Cosupervision with MarieLaure Boizeau (IE INSERM US006 CREFRE, CNRS)
2015: T. Berriat (4th year INSA Toulouse  3 months Now student at INSA Toulouse). Statistical analysis of the cochlear coil. Cosupervision with J.M. Loubes (PR IMT/UPS) and J. Dumoncel (IE AMIS/CNRS).
2015: A. David (2nd year prepa INPT  6 weeks  Now student at ENSEEIHT). Devlopment of a GUI in Python to register 3D images.
2015: N. Artigouha (3rd year IUT Computer Science Toulouse  3 months  Now student at INSA Toulouse). Plugin development in Java to interface R and Cytoscape.
2014: A. Choury (former INSA student  6 months  Now founder and president of Alykis/consulting). Statistical analysis of seismic wave propagation measures. Cosupervision with J.M. Loubes (PR IMT/UPS) and P. Besse (PR IMT/INSA).
2014: S. Tobji (2nd year IUT informatique Toulouse  3 months  Now student at Univ. Paul Sabatier/IRIT). Development of a new anisotropic smoothing strategy in ITK. Cosupervision with J. Fehrenbach (McF IMT/UPS).
2013: L. Dolius (M2R Radiophysics and medical imaging Toulouse  6 months  Now engineer with Cap Gemini Toulouse). Quantitative Analysis of 3D brain images. Cosupervision with C. Fonta (DR CerCo/CNRS) and M. Mescam (McF CerCo/UPS).
2010: A. Camphuis (M1 Supelec  2 months  Now Petroleum Engineer with Perenco). Validation of an image registration algorithm. Cosupervision with F.X. Vialard (Former postdoc Imperial College London / now McF Paris Dauphine).
2009: D.P. Zhang (PhD student  unformal supervision  Now with Exascale Computing/AMD Research Group). Motion correction of coronary vessels in CT images. Main supervisor: D. Rueckert (Pr Imperial College London).
2008: A.L. Fouque (M2R ENS Cachan  5 months). Analysis of the BOLD signal in fMRI. Main supervisor: P. Ciuciu (CR CEA Saclay).
2005: V. Gratsac (M2 Computer Science Univ. Nantes  6 months  Now engineer with SYNEIKA, Rennes). Tensor voting for large vascular network images. Main supervisor: F. Plouraboue (DR IMFT/CNRS).
2004: G. Gujadur (L3 Mecanics  3 months  Now at Siemens Industrial Turbomachinery AB, Sweden). Quantitative analysis of the vascular network in synchrotron images. Main supervisor: F. Plouraboue (DR IMFT/CNRS).

