Français Anglais
Accueil Annuaire Plan du site
Home > Research results > Dissertations & habilitations
Research results
Faculty habilitation de

Faculty habilitation
Group : Bioinformatics

Metabolic pathway analysis : from constraint-based modelling to dynamical analysis

Starts on
Advisor :

Funding :
Affiliation : vide
Laboratory : bât 650 Université Paris-Sud salle des thèses

Defended on 18/11/2019, committee :
Mme Anne Siegel, Directrice de Recherche CNRS (rapporteur)

Mr François Fages. Directeur de Recherche INRIA (rapporteur)

Mr Oliver Ebenhöh, Professeur Université Heinrich-Heine Düsseldorf (rapporteur)

Mme Chantal Reynaud Professeur. Université Paris-Sud

Mr Philippe Dague, Professeur émérite, Université Paris-Sud

Mr Vincent Fromion Directeur de Recherche INRA Jouy-en-Josas

Mr Pierre Sonigo Directeur Scientifique de la société Sebia (DR1 INSERM en disponibilité)

Research activities :

Abstract :


Ph.D. dissertations & Faculty habilitations
CAUSAL LEARNING FOR DIAGNOSTIC SUPPORT


CAUSAL UNCERTAINTY QUANTIFICATION UNDER PARTIAL KNOWLEDGE AND LOW DATA REGIMES


MICRO VISUALIZATIONS: DESIGN AND ANALYSIS OF VISUALIZATIONS FOR SMALL DISPLAY SPACES
The topic of this habilitation is the study of very small data visualizations, micro visualizations, in display contexts that can only dedicate minimal rendering space for data representations. For several years, together with my collaborators, I have been studying human perception, interaction, and analysis with micro visualizations in multiple contexts. In this document I bring together three of my research streams related to micro visualizations: data glyphs, where my joint research focused on studying the perception of small-multiple micro visualizations, word-scale visualizations, where my joint research focused on small visualizations embedded in text-documents, and small mobile data visualizations for smartwatches or fitness trackers. I consider these types of small visualizations together under the umbrella term ``micro visualizations.'' Micro visualizations are useful in multiple visualization contexts and I have been working towards a better understanding of the complexities involved in designing and using micro visualizations. Here, I define the term micro visualization, summarize my own and other past research and design guidelines and outline several design spaces for different types of micro visualizations based on some of the work I was involved in since my PhD.