Difference between revisions of "Anne Jeannin"
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==Research== | ==Research== | ||
− | TL;DR : I am interested in Complex Systems, in the broadest possible sense. More specifically, I am interested in deep learning and | + | TL;DR : I am interested in Complex Systems, in the broadest possible sense. More specifically, I am interested in (deep) machine learning and anticipatory learning classifier systems; model uncertainty; explainability. |
− | All my research revolve (or have revolved) around Complex Systems. Today, I am in particular interested in deep learning and | + | All my research revolve (or have revolved) around Complex Systems. Today, I am in particular interested in deep learning and rule-based systems. I am interested in the notions of ''autonomy'', ''explainability'' and ''ethics'', which I try to understand from a philosophical and social point of view. |
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===Publications=== | ===Publications=== | ||
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==Scientific supervision== | ==Scientific supervision== | ||
+ | ====PhD co-supervision==== | ||
+ | * Quentin Christoffel [Oct. 2021-] (Director: A. Deruyver) Reducing deep neural networks uncertainty | ||
+ | * Hiba Khodji [Oct. 2020-] (Directors: J. Thompson & P. Collet) Convolutional Neural Networks for the prediction of gene prediction errors | ||
+ | * Nicolas Scalzitti [Dec. 2018-] (Directors: J. Thompson & P. Collet) New gene annotation and detection strategies for genome sequencing projects, by massively parallel coupled artificial intelligence and artificial evolution algorithms | ||
+ | * Romain Orhand [Oct. 2018 -] (Directors: P. Collet & P. Parrend) Towards autonomous computers by combination of artificial intelligence and artificial evolution | ||
+ | * Anna Ouskova [Aout 2018-] (Directors: P. Collet & P. Parrend) Evolutionary optimization of refrigeration systems using magnetocaloric alloy | ||
+ | |||
===Students in apprenticeship training=== | ===Students in apprenticeship training=== | ||
*2016-2018 | *2016-2018 | ||
Line 35: | Line 39: | ||
===Internships=== | ===Internships=== | ||
− | * | + | * 2021 |
− | * | + | ** [master 2] Q. Christoffel / Evaluating the uncertainty of machine learning models through a Bayesian approach |
+ | * 2020 | ||
+ | ** [master 2] H. Khodji / On the transferability of latent features of deep neural networks | ||
+ | ** [master 1] Q. Christoffel / Explainability of deep neural networks with evolutionnary computation | ||
+ | * 2019 | ||
+ | ** [master 1] A. Oury Bah / Explainability of deep neural networks with evolutionnary computation | ||
+ | ** [master 1] A. Hutt / On the transferability of latent features of deep neural networks | ||
+ | ** [master 1 math] Corentin Mengel / ATLAS: Algebraic TopoLogy for dAta Similarity | ||
+ | * 2017 | ||
+ | ** [master 2] N. Demeurre / B Lymphocyte gene regulation networks | ||
+ | **[master 1] F. Delhomme et M. Vila (co-encadrement avec Basile Sauvage, MCF équipe IGG) Multi-valued knowledge maps | ||
+ | |||
+ | ===Student research projects (~150h)=== | ||
+ | * 2020-21 | ||
+ | ** N. Mountasir / Evaluating DNN uncertainty: a comparative study | ||
+ | * 2019-20 | ||
+ | ** Q. Christoffel / Explainability of deep neural networks with evolutionnary computation | ||
+ | ** F. Nawfal / Transfert learning: a comparative study | ||
+ | * 2018-19 | ||
+ | ** Elisa Kalbé / Collision detection: comparison of cognitive and geometric approaches | ||
+ | ** Gaël Mukunde / Identifying protein sequences properties with machine learning (Co-supervised with O. Poch & L. Moulinier) | ||
+ | ** Mathieu Haller / Protein fold classification with deep learning (Co-supervised with C. Mayer) | ||
+ | ** Amarin Hutt / On the transferability of latent features in deep neural networks (Co-supervised with R. Orhand) | ||
+ | *2017-18 | ||
+ | ** Elisa Kalbé / Non-representational approaches for agent behavior modelling" | ||
+ | ** Maxime Seyer / Non-representational approaches for agent behavior modelling" | ||
− | + | ===Scientific dissemination=== | |
− | + | * [Fev. 2020] "Which integration of intelligent systems in our societies?" Talk at the discussion panel ''Artificial Intelligence and democracy'', Jardin des Sciences de l'université de Strasbourg | |
− | + | * [Nov. 2019] "Transfert learning: review and recent advances", workshop de l'axe de recherche Data Science and Artificial Intelligence de ICube | |
− | + | * [Oct. 2018] "Theoretical and practical challenges of artificial intelligence". Talk at the Journées Systèmes 2018 à Strasbourg [https://webcast.in2p3.fr/video/defis-theoriques-et-pratiques-de-lintelligence-artificielle / talk video, in french] | |
− | + | * [2016, 2017] Animation (with Pierre Collet) of the Complex System Digital Campus stand at the Festival of Science | |
− | |||
− | |||
− | |||
− | |||
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− | |||
− | |||
− | |||
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==Teaching== | ==Teaching== | ||
* Introduction to web programming | * Introduction to web programming | ||
Line 58: | Line 78: | ||
* Object oriented programming | * Object oriented programming | ||
* Artificial intelligence and deep learning | * Artificial intelligence and deep learning | ||
− | |||
* Algorithms and programming | * Algorithms and programming | ||
Line 73: | Line 92: | ||
==Administrative and scientific responsibilities== | ==Administrative and scientific responsibilities== | ||
+ | * Pedagogical coordinator of the 3rd year degree in Computer Science of the University of Strasbourg since Sept. 2020 | ||
* Member of the board of the Mathematics and Computer Science faculty of the University of Strasbourg since Dec. 2017 | * Member of the board of the Mathematics and Computer Science faculty of the University of Strasbourg since Dec. 2017 | ||
− | * Pedagogical coordinator of the bachelor degree in Computer Science of the French-Azerbaijani University (UFAZ) | + | * Pedagogical coordinator of the bachelor degree in Computer Science of the French-Azerbaijani University (UFAZ) / Sept. 2017 to Dec. 2020 |
* Member of the Computer Science expert committee of Strasbourg University since Sept. 2016 | * Member of the Computer Science expert committee of Strasbourg University since Sept. 2016 | ||
− | |||
* Reviewer for the journal AIMS Cell and Tissue Engineering (2017) | * Reviewer for the journal AIMS Cell and Tissue Engineering (2017) | ||
Line 86: | Line 105: | ||
==Contact== | ==Contact== | ||
− | My office is located | + | My office is located in the CRBS (Centre de Recherche en Biomédecine de Strasbourg), 1 rue Eugène Boeckel, 67000 Strasbourg |
Anne Jeannin-Girardon | Anne Jeannin-Girardon | ||
ICUBE - UMR CNRS 7357 | ICUBE - UMR CNRS 7357 | ||
− | Tél : +33 (0)3.68.85.45.80 | + | Tél : +33 (0)3.68.85.45.80 |
− | + | 1 rue Eugène Boeckel, CS 60026, 67084 Strasbourg | |
[https://sites.google.com/view/annejeannin/contact Online form contact] | [https://sites.google.com/view/annejeannin/contact Online form contact] |
Latest revision as of 10:45, 22 September 2021
Associate professor in computer science, at the The Engineering science, computer science and imaging laboratory of the University of Strasbourg (ICube UMR CNRS 7357) |
Research
TL;DR : I am interested in Complex Systems, in the broadest possible sense. More specifically, I am interested in (deep) machine learning and anticipatory learning classifier systems; model uncertainty; explainability.
All my research revolve (or have revolved) around Complex Systems. Today, I am in particular interested in deep learning and rule-based systems. I am interested in the notions of autonomy, explainability and ethics, which I try to understand from a philosophical and social point of view.
Publications
Involvement in research projects
- Education : POEM / Magellan / In-tuto
- Health : HOPE / RADAR
- Computing : EASEA CLOUD
- CS-DC
- Computational Biology : GEM (Germinal center Modeling)
Click HERE to get some information about former projects
Scientific supervision
PhD co-supervision
- Quentin Christoffel [Oct. 2021-] (Director: A. Deruyver) Reducing deep neural networks uncertainty
- Hiba Khodji [Oct. 2020-] (Directors: J. Thompson & P. Collet) Convolutional Neural Networks for the prediction of gene prediction errors
- Nicolas Scalzitti [Dec. 2018-] (Directors: J. Thompson & P. Collet) New gene annotation and detection strategies for genome sequencing projects, by massively parallel coupled artificial intelligence and artificial evolution algorithms
- Romain Orhand [Oct. 2018 -] (Directors: P. Collet & P. Parrend) Towards autonomous computers by combination of artificial intelligence and artificial evolution
- Anna Ouskova [Aout 2018-] (Directors: P. Collet & P. Parrend) Evolutionary optimization of refrigeration systems using magnetocaloric alloy
Students in apprenticeship training
- 2016-2018
- RADAR (Robust Anonymous DAta Records) (in french)
- Mass spectrometry (in french)
Internships
- 2021
- [master 2] Q. Christoffel / Evaluating the uncertainty of machine learning models through a Bayesian approach
- 2020
- [master 2] H. Khodji / On the transferability of latent features of deep neural networks
- [master 1] Q. Christoffel / Explainability of deep neural networks with evolutionnary computation
- 2019
- [master 1] A. Oury Bah / Explainability of deep neural networks with evolutionnary computation
- [master 1] A. Hutt / On the transferability of latent features of deep neural networks
- [master 1 math] Corentin Mengel / ATLAS: Algebraic TopoLogy for dAta Similarity
- 2017
- [master 2] N. Demeurre / B Lymphocyte gene regulation networks
- [master 1] F. Delhomme et M. Vila (co-encadrement avec Basile Sauvage, MCF équipe IGG) Multi-valued knowledge maps
Student research projects (~150h)
- 2020-21
- N. Mountasir / Evaluating DNN uncertainty: a comparative study
- 2019-20
- Q. Christoffel / Explainability of deep neural networks with evolutionnary computation
- F. Nawfal / Transfert learning: a comparative study
- 2018-19
- Elisa Kalbé / Collision detection: comparison of cognitive and geometric approaches
- Gaël Mukunde / Identifying protein sequences properties with machine learning (Co-supervised with O. Poch & L. Moulinier)
- Mathieu Haller / Protein fold classification with deep learning (Co-supervised with C. Mayer)
- Amarin Hutt / On the transferability of latent features in deep neural networks (Co-supervised with R. Orhand)
- 2017-18
- Elisa Kalbé / Non-representational approaches for agent behavior modelling"
- Maxime Seyer / Non-representational approaches for agent behavior modelling"
Scientific dissemination
- [Fev. 2020] "Which integration of intelligent systems in our societies?" Talk at the discussion panel Artificial Intelligence and democracy, Jardin des Sciences de l'université de Strasbourg
- [Nov. 2019] "Transfert learning: review and recent advances", workshop de l'axe de recherche Data Science and Artificial Intelligence de ICube
- [Oct. 2018] "Theoretical and practical challenges of artificial intelligence". Talk at the Journées Systèmes 2018 à Strasbourg / talk video, in french
- [2016, 2017] Animation (with Pierre Collet) of the Complex System Digital Campus stand at the Festival of Science
Teaching
- Introduction to web programming
- English for computer science
- Object oriented programming
- Artificial intelligence and deep learning
- Algorithms and programming
- Certificat informatique et internet Information technology and internet certification preparation (C2i)
- IT environments
- Programming langages
- Fundamental algorithmic and graphs
- Advanced C programming
- Java programming and development tools
- IP networks
- Cognitive and reactive modeling
- Compilation, models and langages for parallel systems
Administrative and scientific responsibilities
- Pedagogical coordinator of the 3rd year degree in Computer Science of the University of Strasbourg since Sept. 2020
- Member of the board of the Mathematics and Computer Science faculty of the University of Strasbourg since Dec. 2017
- Pedagogical coordinator of the bachelor degree in Computer Science of the French-Azerbaijani University (UFAZ) / Sept. 2017 to Dec. 2020
- Member of the Computer Science expert committee of Strasbourg University since Sept. 2016
- Reviewer for the journal AIMS Cell and Tissue Engineering (2017)
- Member of the program and the organization committees of the conference EA 2017
- Reviewer for the conference ICAROB 2018
- Scientific expertise of CIFRE (Conventions Industrielles de Formation par la Recherche : Industrial Conventions of Training through Research) PhD
- Scientific expertise for the BioWin business cluster (2017)
Contact
My office is located in the CRBS (Centre de Recherche en Biomédecine de Strasbourg), 1 rue Eugène Boeckel, 67000 Strasbourg
Anne Jeannin-Girardon ICUBE - UMR CNRS 7357 Tél : +33 (0)3.68.85.45.80 1 rue Eugène Boeckel, CS 60026, 67084 Strasbourg
Online form contact