Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur Graph Search.
Concept
Jean-Daniel Fekete
Résumé
Jean-Daniel Fekete is a French computer scientist.
Fekete received his PhD from the Paris-Saclay University in 1996.)
He obtained his Habilitation in 2005, entitled "Nouvelle génération d'Interfaces Homme-Machine pour mieux agir et mieux comprendre" (New generation of Human Machine Interfaces for better interacting and understanding) at Université Paris-Sud 11 (now Paris-Saclay University). The jury was Joëlle Coutaz (Prof. Université de Grenoble II), Saul Greenberg (Prof. University of Calgary, Canada), Ben Shneiderman (Prof. University of Maryland, USA), Michel Beaudouin-Lafon (Prof. Paris-Saclay University, FR), Jean-Gabriel Ganascia (Prof. Sorbonne University, FR), Guy Mélançon (Prof. Université Montpellier III, FR) and Claude Puech (Prof. Grenoble Alpes University, FR).
As an undergraduate student he worked at the Centre Mondial Informatique et Ressource Humaine.
After an early career working in startups developing medical diagnostic expert systems and interactive 2D animation software, Fekete joined INRIA. He is currently the Scientific Leader of the Aviz group, which he created in 2006. Aviz is an INRIA group, and also part of Université Paris-Saclay.
Fekete's main fields of research are visual analytics, information visualization and human–computer interaction.
Fekete developed the Infovis Toolkit, a Java toolkit to facilitate the design of information visualization interfaces; and later expanded this work into the meta-toolkit Obvious.
He led the development of techniques for the interactive analysis of graphs using various representations including the early use of matrices, and their evaluation.
Making visualization more accessible to social scientists and historians has been a goal in the development of several tools, e.g., to analyze social networks, genealogical structures, or collections of structured documents.
Early work on large scale visualization led to contributions on progressive analytics as a method for managing big data analysis, and the organization of a Dagsthul seminar.
Source officielle
À propos de ce résultat
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.