Anne Jeannin
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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