Difference between revisions of "Anne Jeannin"

Revision as of 15:11, 10 May 2017

Associate professor in computer science, at the The Engineering science, computer science and imaging laboratory of the University of Strasbourg (ICube UMR CNRS 7357)
Member of the Complex Systems Society (CSS) cssociety.org

Research

All my research revolve (or have revolved) around Complex Systems. As of today, I am in particular interested of deep learning and massive parallel computing. The application domains of those research are quite diverse, ranging to educational ecosystems (POEM), computing ecosystems (EASEA), health ecosystems (HOPE, RADAR), simulation platforms, to a unifying ecosystem, the CS-DC, that aims to share research and educational resources to address the challenges of the Complex Systems science.

The main problems that we study are : reliable and robust computerization of medical files (and more generally all kind of digital resources); data mining; how to set up intelligent platforms relying on human intelligence (which is way better than machine intelligence :-) to determine optimal educational trajectories and to create knowledge maps; securing and detect anomalies in IT systems.

I'm also interested in smaller projects, still being defined, slowly blooming, but that may give rise to little somethings some day : piloting evolutionary algorithms with deep learning algorithms; estimate optimal cluster number of unlabelled data with massive parallelism; integrative modeling of biological systems, using EASEA principle to analyse high throughput DNA sequences.

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

Students in apprenticeship training

2016-2018
- RADAR (Robust Anonymous DAta Records) (in french)
- Mass spectrometry (in french)

Internships

Genetic regulation networks modeling in B cells (6 month - 2017)
Concentric multi-valued map (2017)

Teaching

Introduction to web programming
English for computer science
Artificial intelligence
Nature inspired stochastic optimization
Massively parallel artificial evolution

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

Contact

My office is located on 4 rue Kirschleger in Strasbourg, on the 5th floor of the building 3 of the medicine faculty (CSTB team).

Anne Jeannin-Girardon
ICUBE - UMR CNRS 7357
Tél : +33 (0)3.68.85.45.80 / Fax : +33 (0)3.68.85.44.55
4 rue Kirschleger, 67000 Strasbourg, France

email : Anne.Jeannin @ unistra.Fr

@@ Line 6: / Line 6: @@
 ==Research==
-My main research interests concern the study of complex systems, deep learning and parallel computing. My research have allowed me to step into various disciplines: bioinformatics, computational biology, cellular and molecular biology, mathematics (with tools such as statistics, ODE, PDE), physics (mechanics) as well as notions of chemistry (especially concerning reaction and diffusion processes). The idea behind all this is to propose hybrid and multi-scale models of complex systems.
+All my research revolve (or have revolved) around Complex Systems. As of today, I am in particular interested of deep learning and massive parallel computing. The application domains of those research are quite diverse, ranging to educational ecosystems ([http://poem.unistra.fr/ POEM]), computing ecosystems ([http://easea.unistra.fr/ EASEA]), health ecosystems ([http://hope.unistra.fr/ HOPE], [http://radar.unistra.fr/ RADAR]), simulation platforms, to a unifying ecosystem, the [https://www.cs-dc.org/ CS-DC], that aims to share research and educational resources to address the challenges of the Complex Systems science.
-Thus, I am interested in different application fields: biology (tissue morphogenesis, immunology), health ecosystems, mainly through medical cohorts management (reliable and robust computerization of medical files; data mining) and educational ecosystems (relying on 4P principles: Participative, Predictive, Preventive and Personalised and providing a social intelligent platform proposing optimized educational trajectories).
+The main problems that we study are : reliable and robust computerization of medical files (and more generally all kind of digital resources); data mining; how to set up intelligent platforms relying on human intelligence (which is way better than machine intelligence :-) to determine optimal educational trajectories and to create knowledge maps; securing and detect anomalies in IT systems.
+I'm also interested in smaller projects, still being defined, slowly blooming, but that may give rise to little somethings some day : piloting evolutionary algorithms with deep learning algorithms; estimate optimal cluster number of unlabelled data with massive parallelism; integrative modeling of biological systems, using EASEA principle to analyse high throughput DNA sequences.
 ===Publications===
@@ Line 14: / Line 16: @@
-==Former research projects==
+==Involvement in research projects==
+*Education : [http://poem.unistra.fr/ POEM] / Magellan / In-tuto
+*Health : [http://hope.unistra.fr/ HOPE] / [http://radar.unistra.fr/ RADAR]
+*Computing : [http://easea.unistra.fr/ EASEA CLOUD]
+*[https://www.cs-dc.org/ CS-DC]
+*Computational Biology : GEM (Germinal center Modeling)
 Click [[Anne_Jeannin_Former_Projects|HERE]] to get some information about former projects
@@ Line 24: / Line 32: @@
 **[[Mass spectrometry]] (in french)
+===Internships===
+* Genetic regulation networks modeling in B cells (6 month - 2017)
+* Concentric multi-valued map (2017)
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