Anne Jeannin

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

Publication list

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