Teaching activity and supervision

Teaching

2019-20: Lectures and practical courses in Linear model for Machine Learning (16 hours). Master 2 degree at ISAE/Supaero.

2019-20: Lectures and practical courses in Convex optimization and dimensionality reduction in Machine Learning (30 hours). International master course of Ecole Polytechnique (Palaiseau, France) given at Mohammed VI Polytechnic University (Ben Guerir, Morocco).

2018-19: Lectures and practical courses in Image Analysis (40 hours). Master 2 in Mathematical Engineering. Université Paul Sabatier.

2018-19: Lectures and practical courses in Linear model for Machine Learning (16 hours). Master 2 degree at ISAE/Supaero.

2018-19: Lectures and practical courses in GPGPU computing with OpenCL (6 hours). Master 2 degree at ISAE/Supaero.

2018-19: Practical courses in Optimization (12 hours). Master 1 degree at Toulouse School of Economics (TSE).

2018-19: Practical courses in Statistics (8 hours). Master 2 degree at ISAE/Supaero.

2017-18: Lectures and practical courses in Machine Learning (18 hours). Students of various levels from Ho-Chi-Minh city area (M1 students to university lecturers -- course/practicals in the context of a two weeks spring school). VNUHCM - University of Science, Ho-Chi-Minh city, Vietnam.

2017-18: Lecture and practical course in GPGPU computing (4 hours). Master 2 degree at ISAE/Supaero.

2017-18: Lectures and practical courses in Image Analysis (32 hours). Master 2 in Mathematical Engineering. Université Paul Sabatier.

2017-18: Practical courses in Statistics (16 hours). Master 2 degree at ISAE/Supaero.

2016-17: Lectures and practical courses in Image Analysis (8 hours). Master 2 in Mathematical Engineering. Université Paul Sabatier.

2016-17: Practical courses in Statistics (16 hours). Master 2 degree at ISAE/Supaero.

2005-06: Tutorials in Stochastic Process applied to heterogeneous media (16 hours). Master 2 degree in Mechanics. Université Paul Sabatier.

2005-06: Lectures and practical courses in Computational Fluid Mechanics (32 hours). Lecture notes here. The resolution methods for non linear PDEs in 1D and 2D are developed in this lecture. Masters 1 degree in Mechanics. Université Paul Sabatier.

2005-06: Practical courses in Fluid Mechanics (18 hours). Preliminary degree in Mathematics and Computer Science applied to Sciences. Université Paul Sabatier.

2004-05: Lectures and practical courses in Computational Fluid Mechanics (44 hours). Master 1 degree in Mechanics. Université Paul Sabatier.

2004-05: Tutorials in Point Mechanics (20 hours). Preliminary degree in Mathematics and Computer Science applied to Sciences. Université Paul Sabatier.

2003-04: Lectures and practical courses in Computational Fluid Mechanics (44 hours). Master 1 degree in Mechanics. Université Paul Sabatier.

2003-04: Tutorials in Point mechanics (20 hours). Preliminary degree in Mathematics and Computer Science applied to Sciences. Université Paul Sabatier.

Technical seminars and scientific popularization

August 2019: Introduction to Machine Learning. Two hours course and practical at CIMI Recherche-MIDI Summer-camp.

July 2019: 20 hours course and practicals at Master School on Data Science and Geometry.
  • Week 2: Ten hours course and practicals in Machine Learning (slides of day 1: Intro to M.L. / Intro to Python for M.L.).
  • Week 4: Ten hours practicals in (1) Optimal transport for histogram equalization in images, (2) Diffeomorphic image registration with LDDMM, and (3) Neural networks with PyTorch.


November 2018: Introduction to Machine Learning. Two hours talk at the CNRS-INRA 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 (ISAE-Supaero).

January 2018: Introduction to GPU computing and OpenCL. Three hours seminar for Master students at the National Institute for Space and Aeronautics (ISAE-Supaero).

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

January 2018: Data analysis and Machine learning with Python using the Scikit-learn module - Intermediate level. One day with courses and practicals at Observatoire Midi-Pyrénées.

April 2017: Python for Scientists - Intermediate level. Three days of courses and practicals at CNRS - Observatoire Midi-Pyrénées. 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.

June 2013: Introduction to statistics. Personnel from Université Paul Sabatier.

Students supervision (last update: July 2019)

2019: B. Allorant (3rd year ENS Lyon - 2 months). GPGPU solutions to speed-up the estimation of a non-linear 3D PDE. Application to image registration.

2019: A. Gossard (5th year INSA in applied mathematics - 5 months). Denoising and regularization models for the analysis of LIDAR images. Co-supervision with P.E. Dupouy and N. Rivière (ONERA Toulouse)

2019: K. Niang (4th year Paul Sabatier University in applied maths for data mining - 3 months). Definition of a deep learning strategy to predict polution levels based on multimodal satellite information. Co-supervision with F. Solmon (CNRS - Laboratoire d'aérologie/OMP)

2019-.: E.. Grossiord (Postdoc at IMT). Mutli-modal registration of 3D whole-body medical images. Co-supervision with F. Malgouyres (Pr IMT).

2018: V. K. Ghorpade (Postdoc at IMT - 1 year). Registration of 3D whole-body medical images. Co-supervision 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. Co-supervision 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. Co-supervision 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. Co-supervision 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 speed-up 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 semi-interactive segmentation of 3D medical images. Co-supervision 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. Co-supervision 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. Co-supervision 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. Co-supervision with J.M. Loubes (PR IMT/UPS).

2016: S. Roudiere (2nd year prepa INPT - 6 weeks - Now student at Phelma PET Grenoble). Devlopment of non-rigid registration algorithm in Python applied to the motion tracking of US heart images. Co-supervision with Marie-Laure 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. Co-supervision 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. Co-supervision 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. Co-supervision 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. Co-supervision 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. Co-supervision 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).