[Publications] [Teaching] [Projects] [Skills] [Education] [Experience]   download pdf

Contact: click-me ;-p @nospam.com

Associate Professor (MCF) at Jean Monnet University, Ph.D., Software Engineer

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Rémi Emonet
birthdate: 08/12/1982

Education

2005 2009 Ph.D. Thesis on software architecture for intelligent environments
2004 2005 Master2 Research: Image, Vision, Robotics
2002 2005 Engineering Education at Ensimag (French “Grandes Écoles”) mention “très bien”
2000 2002 Grenoble IT's integrated preparatory course
2000 Bachelor mention “très bien” (with high honors / first class Honours)

Professional Experience

2013 Associate Professor at Jean Monnet University of Saint Étienne and in Hubert Curien Laboratory.
2010 2013 Postdoc at the Idiap research institute (EPFL) in Martigny in Switzerland hired on the VANAHEIM European project. I mainly worked on automatic unsupervised discovery of recurrent activities in video sequences.
2010 One month contract for evolutions and maintenance on the Kayass Phu-t and Kayass 3D software applications for rock fall simulations.
2009 2010 Six month postdoc position working on the CASPER project (home care) and then on the MINImage project (computer vision embeded in camera).
2005 2009 Ph. D. thesis (defended on September 23, 2009) in software architecture for ambient intelligence at INRIA in the PRIMA research group, funded by a national grant and a teaching assistant position.
2005 Three month engineering contract in the PRIMA research group: full design and conception of an automatic error correction system for a visual tracking system in the context of the IST CAVIAR European research project.
2005 Training period for a Master 2 Research in the PRIMA research group on the implementation and comparison of various incremental machine learning methods.
2004 2005 Complete specification and implementation of a software for 3D rockfall simulation (Kayass 3D) in Java for IMSRN.
2004 Three month training period at STMicroelectronics: help in the development of a formal verification tool for systems on chip (SoC) written in C++ during a Ph. D. thesis.
2003 2004 Various works in PHP/MySql to build web applications in the context of the junior enterprise of the Ensimag
2002 Complete specification and implementation of a software for 2D rockfall simulation (Kayass Phu-t) in C++ for IMSRN.
2002 Six week training period as a “worker” for IMSRN.

Computer Related Skills

github accounthttps://github.com/twitwi

Research Domains:  Machine Learning − Ambiant Intelligence − Software Architecture − Computer Vision

Software Engineering and Programming Languages:  Python − Javascript − Java − C/C++/STL − Scala − XSLT − OSGi − SOA − UML − Groovy − SQL − CAML − lisp

Tools and Development Environments:  Git/CVS/Subversion/GnuArch − make/maven/ant/scons − Netbeans/Emacs/Eclipse − LINUX/WINDOWS/UNIX

XML and Semantic Web Technologies:  XML − XSLT − XPath − XSD (XML Schema) − DTD − SVG − XHTML − RDF − OWL

Web Technologies :  VueJS − HTML − CSS − Javascript − jQuery

Languages, etc.

French (Mother tongue)

English (Read, written, spoken (thesis writing and defense, lectures given at EPFL))

German (Studied during 8 years, lack practice)

Spanish (Studied during 2 years)

Polish (Oral skills to rekindle)

Driving Licence

Publications (dedicated page)

Learning PDE to Model Self-Organization of Matter
Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban
2022
- Entropy (ISSN 1099-4300)
Intérêt des Bornes Désintégrées pour la Généralisation avec des Mesures de Complexité
Paul Viallard, Rémi Emonet, Pascal Germain, Emilie Morvant, Amaury Habrard, Valentina Zantedeschi
2022
- CAp (Conférence sur l'Apprentissage Automatique)
Optimal Tensor Transport
Tanguy Kerdoncuff, Michaël Perrot, Rémi Emonet, Marc Sebban
2022
- AAAI (AAAI Conference on Artificial Intelligence)
Sampled Gromov Wasserstein
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2021
- MLJ (Machine Learning Journal)
A Nearest Neighbor Algorithm for Imbalanced Classification
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Stépahen Riou, Marc Sebban
2021
- IJAIT (International Journal on Artificial Intelligence Tools)
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
2021
- NeurIPS (Advances in Neural Information Processing Systems)
Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers?
Andrei Rusu, Rémi Emonet, Katayoun Farrahi
2021
- PLOS ONE
Solving highly cyclic distributed optimization problems without busting the bank: a decimation-based approach
Jesús Cerquides, Juan Antonio Rodríguez-Aguilar, Rémi Emonet, Gauthier Picard
2021
- Logic Journal of the IGPL
Metric Learning in Optimal Transport for Domain Adaptation
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2021
- IJCAI (International Joint Conference on Artificial Intelligence)
Adversarial regularization for explainable-by-design time series classification
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard
2020
- ICTAI (International Conference on Tools with Artificial Intelligence)
A Swiss Army Knife for Minimax Optimal Transport
Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
2020
- ICML (International Conference on Machine Learning)
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced Data
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
2020
- IJCAI (International Joint Conference on Artificial Intelligence)
Mean oriented Riesz features for micro expression classification
Carlos Arango, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand
2020
- PRL (Pattern Recognition Letters)
MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibrées
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
2020
- CAp (Conférence sur l'Apprentissage Automatique)
Classification de séries temporelles basée sur des" shapelets" interprétables par réseaux de neurones antagonistes
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard
2019
- CAp (Conférence sur l'Apprentissage Automatique)
Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibré
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Stéphane Riou, Marc Sebban
2019
- CAp (Conférence sur l'Apprentissage Automatique)
Solving highly cyclic distributed optimization problems without busting the bank: a decimation-based approach
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan Antonio Rodríguez-Aguilar
2019
- Logic Journal of the IGPL
Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory
Paul Viallard, Rémi Emonet, Pascal Germain, Amaury Habrard, Emilie Morvant
2019
- NeurIPS 2019 Workshop on Machine Learning with Guarantees
An Adjusted Nearest Neighbor Algorithm Maximizing the F-measure from Imbalanced Data
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Stéphane Riou, Marc Sebban
2019
- ICTAI (International Conference on Tools with Artificial Intelligence)
Extraction d'un Noyau Non Stationnaire de Processus Gaussien à l'aide des Ondelettes
Romain Ravaille, Olivier Alata, Rémi Emonet
2019
- Colloque Gretsi
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard
2019
- http://arxiv.org/abs/1906.00917
Classification de séries temporelles basée sur des" shapelets" interprétables par réseaux de neurones antagonistes
Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard
2019
- CAp (Conférence sur l'Apprentissage Automatique)
End-to-end learning for early classification of time series
Marc Rußwurm, Sébastien Lefevre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard
2019
- http://arxiv.org/abs/1901.10681
Improving Domain Adaptation By Source Selection
Kevin Bascol, Rémi Emonet, Élisa Fromont
2019
- ICIP (International Conference on Image Processing)
From Cost-Sensitive to Tight F-measure Bounds
Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban
2019
- AISTATS (International Conference on Artificial Intelligence and Statistics)
Validation in Healthy Subjects of a Clinical Protocol for the Evaluation of Facial Micro-Expressions in Severely Brain Injured Patients Awakening from Coma
Alexandre Bertholon, Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik, Pascal Giraux
2018
- Annals of Physical and Rehabilitation Medicine
IoU is not submodular
Tanguy Kerdoncuff, Rémi Emonet
2018
- http://arxiv.org/abs/1809.00593
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems
Jesús Cerquides, Rémi Emonet, Gauthier Picard, Juan Antonio Rodríguez-Aguilar
2018
- OptMAS@AAMAS 2018 (International Workshop on Optimisation in Multi-Agent Systems)
CONE : Un algorithme d’optimisation de la F-Mesure par pondération des erreurs de classification
Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban
2018
- CAp (Conférence sur l'Apprentissage Automatique)
Fast and Provably Effective Multi-view Classification with Landmark-based SVM
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2018
- ECML-PKDD
Ten simple rules for collaborative lesson development
Gabriel Devenyi, Rémi Emonet, Rayna Harris, Kate Hertweck, Damien Irving, Ian Milligan, Greg Wilson
2018
- PLOS Computational Biology
Micro-Expression Spotting using the Riesz Pyramid
Carlos Arango, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik
2018
- WACV
GPU accelerated probabilistic latent sequential motifs for activity analysis
Khaja Wasif Mohiuddin, Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez, Pierre Moulin
2018
- VISIGRAPP
Subtle Motion Analysis and Spotting using the Riesz Pyramid
Carlos Arango, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik
2018
- VISIGRAPP
Unsupervised Domain Adaptation Based on Subspace Alignment
Basura Fernando, Rahaf Aljundi, Rémi Emonet, Amaury Habrard, Marc Sebban, Tinne Tuytelaars
2017
- Domain Adaptation in Computer Vision Applications
Improving Chairlift Security with Deep Learning
Kevin Bascol, Rémi Emonet, Élisa Fromont, Raluca Debusschere
2017
- IDA (Intelligent Data Analysis)
Residual Conv-Deconv Grid Network for Semantic Segmentation
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf
2017
- BMVC (British Machine Vision Conference)
Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf
2017
- Neurocomputing
L³-SVMs: Landmarks-based Linear Local Support Vectors Machines
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2017
- http://arxiv.org/abs/1703.00284
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2016
- NIPS (Neural Information Processing Systems)
Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders
Kevin Bascol, Rémi Emonet, Élisa Fromont, Jean-Marc Odobez
2016
- SSPR (Structural and Syntactic Pattern Recognition)
Semantic Segmentation via Multi-task, Multi-domain Learning
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Tremeau Alain, Wolf Christian
2016
- SSPR (Structural and Syntactic Pattern Recognition)
Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de Généralisation
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2016
- CAp (Conférence sur l'Apprentissage Automatique)
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2016
- CVPR (IEEE conf. Computer Vision and Pattern Recognition)
Mixed Pooling Neural Networks for Color Constancy
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Tremeau Alain, Wolf Christian
2016
- ICIP (International Conference on Image Processing)
Segmentation de Scènes Extérieures à Partir d'Ensembles d'Étiquettes à Granularité et Sémantique Variables
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Tremeau Alain, Wolf Christian
2016
- RFIA (Reconnaissance des Formes et Intelligence Artificielle)
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms
Valentina Zantedeschi, Rémi Emonet, Marc Sebban
2016
- http://arxiv.org/abs/1604.01376
Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation
Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban
2015
- CVPR (IEEE conf. Computer Vision and Pattern Recognition)
Predicting a Community's Flu Dynamics with Mobile Phone Data
Katayoun Farrahi, Rémi Emonet, Manuel Cebrian
2015
- CSCW (ACM Conference on Computer Supported Cooperative Work and Social Computing)
Smartphones for Improved Disease Spread Modelling
Katayoun Farrahi, Rémi Emonet
2014
- The Software Sustainability Institute − Blog
Contextually Constrained Deep Networks for Scene Labeling
Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf
2014
- BMVC (British Machine Vision Conference)
Prise en Compte du Contexte pour Contraindre les Réseaux Profonds: Application à l'Étiquetage de Scènes
Taygun Kekeç, Rémi Emonet, Élisa Fromont, Alain Trémeau, Christian Wolf
2014
- CAp (Conférence d'Apprentissage)
Automated Bobbing and Phase Analysis to Measure Walking Entrainment to Music
Adolfo López-Méndez, Carina Westling, Rémi Emonet, Matt Easteal, Lisa Lavia, Harry Witchel, Jean-Marc Odobez
2014
- ICIP (International Conference on Image Processing)
Epidemic Contact Tracing via Communication Traces
Katayoun Farrahi, Rémi Emonet, Manuel Cebrian
2014
- PLOS ONE
Temporal Analysis of Motif Mixtures using Dirichlet Processes
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
2014
- TPAMI (Transactions on Pattern Analysis and Machine Intelligence)
What to Show? - Automatic Stream Selection among Multiple Sensors
Rémi Emonet, Elisabeth Oberzaucher, Jean-Marc Odobez
2014
- VISAPP (International Conference on Computer Vision Theory and Applications)
Sparsity in Topic Models
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2014
- Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond
Localized Anomaly Detection via Hierarchical Integrated Activity Discovery
Thiyagarajan Chockalingam, Rémi Emonet, Jean-Marc Odobez
2013
- AVSS (IEEE conf. on Advanced Video and Signal-Based Surveillance)
Clustering flood events from water quality time-series using Latent Dirichlet Allocation model
Alice Aubert, Romain Tavenard, Rémi Emonet, Alban De Lavenne, Simon Malinowski, Thomas Guyet, René Quiniou, Jean-Marc Odobez, Philippe Mérot, Chantal Gascuel-Odoux
2013
- Water Resources Research
Time-Sensitive Topic Models for Action Recognition in Videos
Romain Tavenard, Rémi Emonet, Jean-Marc Odobez
2013
- ICIP (International Conference on Image Processing)
Discovering temporal patterns in water quality time series, focusing on floods with the LDA method
Alice Aubert, Romain Tavenard, Rémi Emonet, Simon Malinowski, Thomas Guyet, René Quiniou, Jean-Marc Odobez, Chantal Gascuel-Odoux
2013
- European Geosciences Union (EGU)
A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2013
- IJCV (International Journal on Computer Vision)
Automatic Discovery Of Recurrent Motion Activities
Rémi Emonet, Jean-Marc Odobez, Elisabeth Oberzaucher
2012
- ISHE (Biennial International Conference on Human Ethology)
Unsupervised Activity Analysis and Monitoring algorithms for Effective Surveillance Systems
Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, François Bremond and Andrea Grifoni
2012
- ECCV (International Journal on Computer Vision), demonstration paper
Unsupervised Methods for Activity Analysis and Detection of Abnormal Events
Rémi Emonet, Jean-Marc Odobez
2012
- Intelligent Video Surveillance Systems
Méthodes non Supervisées Pour l’Analyse d’Activités et la Détection d’Évènements Anormaux
Rémi Emonet, Jean-Marc Odobez
2012
- Outils d’Analyse Vidéo pour une Pleine Exploitation des Données de Vidéoprotection
The Environment – Application – Adaptation (EAA) Architecture: introduction and details of an open implementation
Rémi Emonet
2012
- IntSys12v5n34 - Journal On Advances in Intelligent Systems
Socio-Technical Network Analysis from Wearable Interactions
Katayoun Farrahi, Rémi Emonet, Alois Ferscha
2012
- ISWC (International Symposium on Wearable Computers)
Bridging the Past, Present and Future: Modeling Scene Activities From Event Relationships and Global Rules
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2012
- CVPR (IEEE conf. Computer Vision and Pattern Recognition)
The OMiSCID 2.0 Middleware: Usage and Experiments in Smart Environments
Rémi Barraquand, Dominique Vaufreydaz, Rémi Emonet, Amaury Nègre, Patrick Reignier
2012
- Soft11v4n34, International Journal On Advances in Software
Environment - Application - Adaptation: a Community Architecture for Ambient Intelligence
Rémi Emonet
2011
- Best Paper AMBIENT (International Conference on Ambient Computing, Applications, Services and Technologies)
Multi-camera Open Space Human Activity Discovery for Anomaly Detection
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
2011
- AVSS (IEEE conf. on Advanced Video and Signal-Based Surveillance)
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez
2011
- CVPR (IEEE conf. Computer Vision and Pattern Recognition)
A Sparsity Constraint for Topic Models — Application to Temporal Activity Mining
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2010
- NIPS workshop on Practical Application of Sparse Modeling: Open Issues and New Directions, in Whistler, British Columbia, Canada on December 11th, 2010
Extracting Motifs from Time Series Generated by Concurrent Activities
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2010
- NIPS workshop on Learning and Planning from Batch Time Series Data, in Whistler, British Columbia, Canada on December 11th, 2010
Case Study of the OMiSCID Middleware: Wizard of Oz Experiment in Smart Environments
Rémi Barraquand, Dominique Vaufreydaz, Rémi Emonet, Jean-Pascal Mercier
2010
- Best Paper The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM), Florence - Italy, oct 2010
Probabilistic Latent Sequential Motifs: Discovering temporal activity patterns in video scenes
Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez
2010
- BMVC (British Machine Vision Conference)
OMiSCID 2.0, un intergiciel libre et opensource pour la construction d’applications ubiquitaires
Rémi Barraquand, Dominique Vaufreydaz, Rémi Emonet, Amaury Nègre, Jean-Pascal Mercier, Patrick Reignier
2010
- Manifestation des Jeunes Chercheurs en Sciences et Technologies de l'Information et de la Communication (MaJeSTIC), Bordeau, France, 2010
Selector Based Lookup
Rémi Emonet
2010
- DZone − Netbeans Zone
Semantic Description of Services and Service Factories for Ambient Intelligence
Rémi Emonet
2009
- Ph.D. Thesis at Grenoble University
Usable developer-oriented Functionality Composition Language (UFCL): a Proposal for Semantic Description and Dynamic Composition of Services and Service Factories
Rémi Emonet, Dominique Vaufreydaz
2008
- 4th IET International Conference on Intelligent Environments
Osons le constructivisme, atelier de formation aux « débats scientifiques »
Marie-Caroline Croset, Rémi Emonet, Emmanuel Frangin, Carmen Galián Barrueco, Frédéric Huguet, Michaël Sanrey, Julien Douady, Christophe Durand
2008
- 5ème Colloque sur les « Questions de Pédagogie dans l'enseignement supérieur »
Autonomic Computer Vision Systems
James L. Crowley, Daniela Hall, Rémi Emonet
2007
- ICVS (International Conference on Computer Vision Systems)
Perceptive Services Composition using semantic language and distributed knowledge
Rémi Emonet, Dominique Vaufreydaz
2007
- CMPPC Workshop (PERVASIVE07) position articles
An automatic approach for parameter selection in self-adaptive tracking
Daniela Hall, Rémi Emonet, James L. Crowley
2006
- VISAPP (International Conference on Computer Vision Theory and Applications)
O3MiSCID: an Object Oriented Opensource Middleware for Service Connection, Introspection and Discovery
Rémi Emonet, Dominique Vaufreydaz, Patrick Reignier, Julien Letessier
2006
- 1st IEEE International Workshop on Services Integration in Pervasive Environments
A Lightweight Speech Detection System for Perceptive Environments
Dominique Vaufreydaz, Rémi Emonet, Patrick Reignier
2006
- 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms
O3MiSCID, un intergiciel sous OSGi pour l'informatique ubiquitaire
Patrick Reignier, Sonia Zaidenberg, Rémi Emonet, Dominique Vaufreydaz, Julien Letessier
2006
- Atelier OSGi, 3e Journées Francophones Mobilité et Ubiquité
Comparison of target detection algorithms using adaptive background models
Daniela Hall, J. Nascimento, P. Ribeiro, E. Andrade, P. Moreno, Sebastien Pesnel, T. List, Rémi Emonet, R.B. Fisher, J. Santos Victor, James L. Crowley
2005
- International workshop on Performance evaluation of Tracking and Surveillance

Teaching Experience

dates title comments duration in hours
CM TD TP EqTD
17-18 16-17 15-16 14-15 Academic supervision of master internships (UJM, M1/M2) 0 0 0 39
21-22 20-21 19-20 Probabilistic Graphical Models (UJM, M2) Creating the course from scratch 30 30 0 75
21-22 20-21 19-20 18-19 17-18 Advanced Web Programming (UJM, M1) Switch to Vue.js (Spring boot, Vue.js, …) 50 50 50 175
21-22 20-21 19-20 18-19 17-18 Scientific computing with Numpy and matplotlib (UJM, L2) Creation of the course for a non-computer-scientist audience 80 80 110 310
18-19 17-18 Machine Learning Fundamentals (UJM, M1) Reworking a course on decision tree and creating a course on (deep) neural networks. 12 9 23 46
21-22 20-21 19-20 18-19 17-18 16-17 Web Development II (UJM, L3) Reinforcing the client-side + Javascript part 38 38 64 159
18-19 Object Oriented Programming (UJM, L3) Replacing a colleague for a year 8 8 8 36
21-22 20-21 19-20 18-19 17-18 16-17 Computer Networks (UJM, M1) Successively reduced the volument of formal courses. Projects : Bittorent, Blockchain/Bitcoin. 42 42 136 241
16-17 Advanced Web Programming (UJM, M1) Switched back to French + RectJS (Spring boot, React, …) 10 10 10 35
21-22 20-21 19-20 18-19 17-18 16-17 Programming in Python (UJM, L1) Creation of the course and coordination of the many groups and instructors (6 groups for TD, 10 for TP). 84 6 14 146
21-22 20-21 Programming in Python (UJM, L1 PASS) Creation of a course for PASS, derived from the main course. 16 0 0 24
21-22 20-21 19-20 18-19 17-18 16-17 Python + Mecanics simulation project (UJM, L1) Creation in collabrotaion with B. Moine on the physics side. 0 8 86 94
16-17 Coordinator of Master 1 DSC (UJM, M1) 0 0 0 10
15-16 Personnal Professional Project (UJM, L2) Tutoring for establishing a professional project 0 6.5 0 13.5
15-16 Computer Networks (UJM, M1) Switched to English M1/MLDM 18 18 18 58
15-16 Advanced Web Programming (UJM, M1) Switched to English M1/MLDM (Spring boot, AngularJS, …) 10 10 10 35
16-17 15-16 Imperative Programming in Python (UJM, L2) Consolidated the course in Python (before moving it to first year). 36 36 36 126
15-16 14-15 Advanced Internet Techniques (UJM, L3) Updating courses and practical sessions 12 12 24 54
14-15 Advanced Web Programming (UJM, M1) Restart and complete update of the course (Spring 4, AngularJS, …) 10 10 10 35
14-15 Imperative Programming in Python (UJM, L2) Rebuild the course in Python as it is better suited for the audience 20 0 0 30
14-15 13-14 Computer Networks (UJM, M1) Starting the course from scratch. 54 54 36 171
13-14 Imperative Programming in C (UJM, L2) Non computer scientist audience 20 20 20 70
12-13 Graphical Models and Unsupervised Activity Mining HAVSS Summer School, broad audience 3 0 0 5
11-12 Computational Perception with Multiple Sensors (EPFL, doctoral students) Lectures at doctoral level 16 0 12 36
08-09 07-08 Software Engineering: Analysis, Conception and Validation (Ensimag 2A) Proposed and wrote subjects for student projects, evolution of courses material. 36 36 0 90
08-09 Programming Language Theory (Ensimag 1A) Contribution to corrections and modifications of exercises support material. 0 36 0 36
08-09 Computer Network (Ensimag 1A) Wrote subject for practical examination. 0 0 18 15
07-08 06-07 Algorithmics (Télécom 2A) Rewrote subject and support material to effectively improve pedagogical efficiency. 6 6 0 15
06-07 05-06 Software Engineering Project (Ensimag 2A) Contribution to a major evolution of the project and to the automation of a part of the evaluation. 30 0 6 110
05-06 Java Projects (Ensimag 2A) No presence in front of students. 0 0 0 12
04-09 Various Activities Jury, tutoring student projects, writing evaluation tools, … 0 0 0 18
Total 2300 hours in EqTD

[Details] Project Oriented View: “Masterpieces”

CategoriesEngineering, Research, Pedagogy, Various
2010 2013 Machine Learning for temporal motifs mining from video sequences.
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In my postdoc at the Idiap research institute (Switzerland), I have been working on unsupervised activity mining from video data. The goal was to automatically mine, without supervision, the recurrent activities that are present in a video. One application, that we considered in the VANAHEIM European project by which I was funded, consists in pre-filtering the hundreds of surveillance cameras present in a metro network. We used our approach to find recurrent activities that we consider as the “normality”. When a new video stream is processed, anything that cannot be explained by these normal activities is then considered as worth showing to a human operator for further analysis.

In this context, I've been developing new probabilistic temporal models using non-parametric Bayesian methods. Inspired by “topic models”, the models we proposed have a strong temporal component: they are able to recover some temporal sequence information within each topic. Not only these models can separate and identify the different activities but they can also temporally localize the occurrences of the activities. The use of non-parametric for these model makes it possible to integrate, in a probabilistically sound manner, the automatic tuning of model parameters directly inside the model. Our model is for example able to automatically estimate the optimal number of activities and their occurrence count.

The developed models are not tied to video data and are actually very adequate for any temporal documents particularly if these are caused by multiple mixed but not necessarily synchronized phenomenons. The methods have for example been applied to audio data to find recurrent noise patterns. Mining activities in multimodal data (such as video + audio) or in data from other sensors using these methods is one of the direction for future work.

2002 2010 Software for 2D rockfall simulation in C++ under Windows.
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This software creation is my first for a company. Written before any solid formation in computer science, this project was a real project with client relationships, requirements analysis and full development of the application. This application is written in C++ for Windows (98 and XP) and weights around 15k C++ SLOC (source lines of codes), resources and custom graphical interface descriptions excluded.

Initial development has been followed by some actions of corrective maintenance and some important evolutions. The software is currently in its third major version and is used daily for risk studies to construct and secure roads and habitations. Maintenance, spread over more than 6 years, provides an important feedback on the design. Well and wrongly designed parts of the software are revealed by maintenance: a complicated correction or a major evolution can be made trivial by good previous design while a simple correction can be very long due to wrong design decisions.

2004 2010 Software for 3D rockfall simulation in Java and Java3D.
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This project stemmed from the success of the previous one, two years before. For certain studies, a 3D digital terrain model is necessary to ensure proper simulation results for example when the terrain features rocky “couloirs”. For this new software, the decision was taken to start from scratch and use Java, Swing and a proper MVC (Model/View/Controller) architecture. The software weights 36k Java SLOC, is developed under linux and mainly used under Windows. Initial development of this software was conducted in cooperation with one other software engineer.

As with the 2D version, initial development was followed by corrective maintenance and evolutions. The software is use daily for studies and allow to export 3D graphs for the reports that the geologist engineers write. This second real size project was the occasion to work in collaboration with someone on both the design and the code, and to apply and deepen my skills in software architecture, Java and Swing. Requiring 3D rendering, this project needed to evaluate and choose among 3D APIs: Java3D was chosen over raw OpenGL as it corresponded better to our requirements in this project. The simulation of 3D rockfalls is more complicated and time consuming than 2D simulation. Effort has been put on optimizing this 3D simulation and it is eventually as fast as the 2D version. In this project also, maintenance gave an extraordinary feedback on the various design decisions.

2008 2009 Graphical user interface for service management using the Netbeans platform (Java + Swing).
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During my Ph.D. thesis, I took the initiative to develop a graphical user interface to help in the understanding and the management of service oriented architectures to simplify the use of the OMiSCID middleware. This development had three main goals: helping individual service designers in the PRIMA research group, being a demonstration platform and favoring capitalization and reuse in the group.

The OMiSCID Gui can be used to list services and their interconnections. It can be automatically and dynamically updated and extended by new modules contributed by service designers. The Gui has an high adoption rate in the PRIMA group and is widely used and extended by service designers. The ease of installation, extension and update is a powerful way of sharing service graphical interfaces in the research group. The site of OMiSCID Gui, http://omiscid.gforge.inria.fr/omiscidgui.html, is the reference on it.

The OMiSCID Gui is designed as a Netbeans Platform application (equivalent/concurrent-of Eclipse rich client platform) that uses standard Java Swing as its toolkit. Manipulating the Netbeans Platform gave me the occasion to understand how powerful and modular it is. Once mastered, such platform allow to easily build modular application that can be extended dynamically by anyone. I ported OMiSCID Gui (and the core library) to the Apache Maven build system. This gave me the occasion to discover this build system that is widespread and powerful but hard to grasp in some particular cases. I also contributed back to the community an article on a new design pattern (applied to the Netbeans platform) http://netbeans.dzone.com/nb-selector-based-lookup The article was commented by the initial architect of Netbeans.

http://omiscid.gforge.inria.fr/omiscidgui.html
http://netbeans.dzone.com/nb-selector-based-lookup
2005 2009 Pedagogical formation at CIES and teaching at Ensimag.
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I followed various formations in pedagogy and taught during 4 year at the Ensimag french engineering school in computer science and applied mathematics. I concentrated my formations on pure pedagogy and particularly on socio-constructivism with the “scientific debate” method. Constructivism aims at making students construct sense around what they learn. The “scientific debate” teaching method consist in organizing a debate among students on a well selected problematic notion of a course. During the debate, students make their own opinion, learn to express and challenge it, learn to accept the opinion of the others and finally raise their motivation for the notion that the teachers will present afterwards.

Concerning the scientific debate, I participated in a workshop aiming at accompanying young teachers in the practice of the scientific debate in their courses. The principle of this workshop was to prepare, put in practice with video recording and analyze some scientific debate sessions between our students. The whole group of teachers participated in the preparation and the analyze of all sessions of scientific debate. We analyzed how the workshop operated and drew some positive overall conclusions. This analyze was formalized as an article published in a french colloquium on pedagogy.

2005 2009 Software Architecture and Integration: Ph. D. thesis on service oriented architectures (SOA) and dynamic service composition for ambient intelligence (AmI).
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My Ph. D. thesis in the PRIMA research group from INRIA is entitled “Semantic Description of Services and Service Factories for Ambient Intelligence” and is in the domain of software architecture for Ambient Intelligence. Ambient Intelligence tries to bring intelligence to the ever growing network of computing devices surrounding us. This domain is highly interdisciplinary and involves many research fields. Advances in Ambient Intelligence are conditioned by the proper interaction, capitalization and integration of all disciplines.

A first facet of the contributions of this thesis concerns the usability of service oriented architecture: we introduced a simple service oriented middleware and a extensible graphical user interface dedicated to the visualization and the interaction with services. A second contribution consists in introducing a design method that reuses concepts from SOA but insists on the usability by non software-engineering specialists to favor early integration. With this method we introduces the concept of a “service factory” that emerges as a necessary construct from our analysis. A service factory represents a family of services that can be infinite and the factory can instantiate any of these services on request. This thesis also proposes a language and a runtime execution environment for our method building on top of our SOA middleware.

In addition to my thesis subject, I installed, configured and promoted various tools to improve communication in the research group: an internal wiki, a subversion server, an central agenda merging people agendas, etc. I also stimulated the organization of presentations and meetings, and the creation of discussion groups.

2004 2005 Master 2 Research on incremental machine learning for automatic configuration and reconfiguration of a visual tracking system.
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My master in the PRIMA research group at INRIA was an occasion to discover machine learning. My subject consisted in modeling, using machine learning, normal outputs of a visual tracking system to detect configuration problems and enable automatic reconfiguration of the system to dynamically adapt to changing operating condition. My master generated a publication with my supervisors.

I discovered various aspects of machine learning: supervised or unsupervised, generative or discriminant, incremental or not, various degree of generalization, etc. I implemented and experimented with numerous machine learning methods: k-means, EM, hierarchical clustering, SVM, LDA, AdaBoost, Neural Networks, Neural Gaz, etc.

A three month contract between my master and my Ph. D. thesis gave me the occasion to apply the machine learning skills I acquired: I implemented and wrote two deliverables on error detection and correction for the CAVIAR European project This three month period generated a deposit of software protection and, later, a publication.

2005 2008 Ergonomics : contribution to the « bépo » project for a french keyboard layout based on Dvorak's principles.

I contributed to the “bépo” project in its first years of existence and followed its evolution since then. My contributions were mainly in the form of ideas, particularly on how to structure the evolution of the project, and then in the form of source code. The project aims at creating a keyboard layout optimized for the french language by using the method from August Dvorak who introduced the “Dvorak Simplified Keyboard” http://en.wikipedia.org/wiki/Dvorak_Simplified_Keyboard. Keyboards using the “bépo” layout can now be bought online. The project main page is at http://bepo.fr/ and a interesting reading about the original Dvorak layout can be found at http://dvzine.org/.

http://en.wikipedia.org/wiki/Dvorak_Simplified_Keyboard
http://bepo.fr/
http://dvzine.org/