The development of data acquisition techniques makes possible the generation more and more data. The size and complexity of this data raises a new problem: do traditional data analysis tools (e.g. diagrams, spreadsheets, etc.)
allow to explore them efficiently? It seems obvious that the analysis of a list of several thousand (or even millions or billions) of lines requires a significant effort for experts. This constant increase therefore makes
crucial the design of data exploration and analysis tools that allow their exploitation. This is even the more true in the era of Big Data, where the size of data far exceeds the capabilities of conventional computers.
The objective of my research work is therefore the development of such tools. In order to allow the visual exploration of complex and/or massive data, my work focuses on the definition of graph drawing algorithms and the
definition of data summary visualizations, also called abstract visualizations.
The improvement of computing power as well as the availability of large data sets, especially in distributed infrastructures, have allowed the development of supervised learning methods. However, these methods, and in particular
deep neural networks, are difficult to explain. This makes them currently unusable in certain application domains such as health and security. These networks offer particularly interesting case studies due to their size
and complexity. The current direction of my research is not only oriented towards visualization for supervised learning in order to explain the predictions, improve their performance or reduce their size in order to reduce
the necessary computing resources (energy cost, implementation in connected objects), but also towards the use of these methods for the automatic evaluation of visualization techniques.
Projects
On going project:
INVOLVD Project (Interactive constraint elicitation for unsupervised and semi-supervised data mining), ANR PRC 2020-2024, work package co-leader
e-ATM Project, ANR MRSEI 2016-2017, local funding:22K€
DIMMER Project (Détection et surveillance des Mésusages de Médicaments dans les for a de santé et les Réseaux sociaux), PEPS conjoint IdEx Bordeaux / CNRS 2016-2017, local funding:
21K€
MVDE Project (Médiation et valorisation des données ouvertes et des données de recherche pour l'éducation), PEPS conjoint IdEx Bordeaux / CNRS 2016-2017
EVA TSN Project (Evaluation de la mise en oeuvre et des résultats du programme Territoire de Soins Numérique dans les cinq territoires
pilotes) PREPS (Programme de Recherche sur la Performance su Système de soins) 2014-2018, local funding: 1.4M€
R-VIZ Project, Appel à Projet de l'Université Bordeaux 1 2013-2014, 28K€
Speed Data Project, Programme d' Investissements d'Avenir, appel à projets cloud computing nº3 Big data 2013-2017, local funding: 600K€ (funding: 1.2M€),
Project scientific leader
REQUEST Project, Programme d'Investissements d'Avenir, appel à projets cloud computing nº3 Big data 2013-2016. local funding: 550 K€
EVIDEN Project (Exploration and Visualization of Dynamic Relational ANR JCJC 2010-2014, funding: 243K€
Students supervision
On going supervision:
Jef Ceulemans, undergraduate, University Thomas Moore, Geel, Belgium
Stijn De Busser, undergraduate, University Thomas Moore, Geel, Belgium
Former students:
Loann Giovannangeli, Phd student (2020—2023 ), supervision (100%), current position: Associate Professor, University of Bordeaux.
Gaëlle Richer, Phd (2016-2019), co-supervised (50%) with David Auber, current position: Postdoc in AVIZ team, Inria and University of Paris-Saclay, France.
Quoc Truong Le, MSc in Computer Science (april-sept. 2019), PUF Ho-Chi-Minh-Ville, Vietnam, co-suypervised (50%) with Romain Giot.
Joris Sansen, Phd (2013-2017), co-supervised (80%) with David Auber, current position: Associate professor at ENSTBB-Bordeaux INP, France.
François Queyroi, Phd (2010-2013), co-supervised (30%) with Maylis Delest, current position: Researcher at CNRS, LS2N, University of Nantes, France.
Antoine Lambert, Phd (2009-2012), co-supervised (20%) with David Auber and Guy Melançon, current position: Senior Software Engineer at Software Heritage, Paris, France.
Nguyen Huy, MSc in Computer Science (june-dec. 2011), PUF Ho-Chi-Minh-Ville, Vietnam, co-suypervised (50%) with Nicolas Hanusse.