Faculty habilitation
Group : Parallelism

Several contributions to self-stabilization

Starts on
Advisor :

Funding :
Affiliation : Université Paris-Saclay
Laboratory : LRI

Defended on 13/11/2007, committee :

Research activities :
   - Distributed algorithms
   - Self-stabilisation
   - Randomized algorithms
   - Ad hoc networks

Abstract :
In the HdR dissertation is presented research works concerning the self-stabilizing algorithms limited to three topics:
(1) Theoretical study of the models of communication. The various models of communication per registers are presented and compared.
To compare the power of these models, I study the realization of tolerant converters to failures from one model to another.
(2) Contribution to classic distributed problems. Two benchmark problems : the leader election and mutual exclusion are intensively studied. I study the memory capacity necessary to these two tasks on anonymous rings.
(3) Algorithms for the Ad hoc networks. The failure tolerant algorithms to manage Ad-Hoc networks are presented.

In the continuity of the three research topics presented in the dissertation, open research problems are proposed.

More information: http://www.lri.fr/~colette/hdr.html

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.