Jean-Daniel Fekete | |
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| Born | 12 April 1963 (age 60) |
| Nationality | French |
| Alma mater | Paris-Sud 11 University (PhD) |
| Scientific career | |
| Fields | Computer science (human–computer interaction, Information Visualization) |
| Institutions | INRIA Saclay |
| Doctoral advisor | Michel Beaudouin-Lafon |
| Website | https://www.aviz.fr/~fekete/ |
Jean-Daniel Fekete is a French computer scientist.
Fekete received his PhD from the Paris-Saclay University in 1996. [1] )
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 [1] developing medical diagnostic expert systems [2] and interactive 2D animation software, [3] Fekete joined INRIA. He is currently the Scientific Leader of the Aviz group, which he created in 2006. [1] Aviz is an INRIA group, and also part of Université Paris-Saclay. [4]
Fekete's main fields of research are visual analytics, information visualization and human–computer interaction. [5]
Fekete developed the Infovis Toolkit, [6] a Java toolkit to facilitate the design of information visualization interfaces; and later expanded this work into the meta-toolkit Obvious. [7]
He led the development of techniques for the interactive analysis of graphs [8] [9] using various representations including the early use of matrices, [10] [11] and their evaluation. [12]
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, [9] genealogical structures, [13] or collections of structured documents. [14]
Early work on large scale visualization [15] led to contributions on progressive analytics as a method for managing big data analysis, [16] and the organization of a Dagsthul seminar. [17]
Additional research directions include visualization literacy, [18] and data physicalization such as with the Zooid user interface, [19] [20] which received an award at UIST'2016. [21]
From 2009 to 2012 Jean-Daniel Fekete was the president of l'AFIHM, [22] the French national equivalent of Association for Computing Machinery SIGCHI. He has served as IEEE InfoVis Paper Co-Chair (2009–2010) and Conference Chair (2011). He was the general chair of the IEEE VisWeek 2014 conference (Paris, France).
From August 2001 to August 2002 Fekete was a visiting scientist at the University of Maryland Human-Computer Interaction Lab (HCIL), which he previously visited (July to August 1998) to develop "Excentric Labeling" [23] along with Catherine Plaisant as a technique to display a high density of labels on maps.
In 2020 Jean-Daniel Fekete was elected to the Association for Computing Machinery (ACM) CHI Academy, for his contributions to the field of study of human–computer interaction. [24]
In October 2020 Fekete was recognized by IEEE VGTC with the 2020 Technical Achievement Award for "his research innovations in network visualization, visual analytics infrastructure, and data physicalization." [25]
Chartjunk consists of all visual elements in charts and graphs that are not necessary to comprehend the information represented on the graph, or that distract the viewer from this information.
In information visualization and computing, treemapping is a method for displaying hierarchical data using nested figures, usually rectangles.
Marching cubes is a computer graphics algorithm, published in the 1987 SIGGRAPH proceedings by Lorensen and Cline, for extracting a polygonal mesh of an isosurface from a three-dimensional discrete scalar field. The applications of this algorithm are mainly concerned with medical visualizations such as CT and MRI scan data images, and special effects or 3-D modelling with what is usually called metaballs or other metasurfaces. The marching cubes algorithm is meant to be used for 3-D; the 2-D version of this algorithm is called the marching squares algorithm.
Patrick M. Hanrahan is an American computer graphics researcher, the Canon USA Professor of Computer Science and Electrical Engineering in the Computer Graphics Laboratory at Stanford University. His research focuses on rendering algorithms, graphics processing units, as well as scientific illustration and visualization. He has received numerous awards, including the 2019 Turing Award.
The Human–Computer Interaction Lab (HCIL) at the University of Maryland, College Park is an academic research center specializing in the field of human-computer interaction (HCI). Founded in 1983 by Ben Shneiderman, it is one of the oldest HCI labs of its kind. The HCIL conducts research on the design, implementation, and evaluation of computer interface technologies. Additional research focuses on the development of user interfaces and design methods. Primary activities of the HCIL include collaborative research, publication and the sponsorship of open houses, workshops and annual symposiums.
Voreen is an open-source volume visualization library and development platform. Through the use of GPU-based volume rendering techniques it allows high frame rates on standard graphics hardware to support interactive volume exploration.
Marilyn Mantei Tremaine is an American computer scientist. She is an expert in human–computer interaction and considered a pioneer of the field.
In the context of data visualization, a glyph is any marker, such as an arrow or similar marking, used to specify part of a visualization. This is a representation to visualize data where the data set is presented as a collection of visual objects. These visual objects are collectively called a glyph. It helps visualizing data relation in data analysis, statistics, etc. by using any custom notation.
In the context of data visualization, a glyph is the visual representation of a piece of data where the attributes of a graphical entity are dictated by one or more attributes of a data record.
Jarke J. (Jack) van Wijk is a Dutch computer scientist, a professor in the Department of Mathematics and Computer Science at the Eindhoven University of Technology, and an expert in information visualization.
In the mathematical fields of numerical analysis and approximation theory, box splines are piecewise polynomial functions of several variables. Box splines are considered as a multivariate generalization of basis splines (B-splines) and are generally used for multivariate approximation/interpolation. Geometrically, a box spline is the shadow (X-ray) of a hypercube projected down to a lower-dimensional space. Box splines and simplex splines are well studied special cases of polyhedral splines which are defined as shadows of general polytopes.
A streamgraph, or stream graph, is a type of stacked area graph which is displaced around a central axis, resulting in a flowing, organic shape. Unlike a traditional stacked area graph in which the layers are stacked on top of an axis, in a streamgraph the layers are positioned to minimize their "wiggle". More formally, the layers are displaced to minimize the sum of the squared slopes of each layer, weighted by the area of the layer. Streamgraphs display data with only positive values, and are not able to represent both negative and positive values.
Sheelagh Carpendale is a Canadian artist and computer scientist working in the field of information visualization and human-computer interaction.
A chord diagram is a graphical method of displaying the inter-relationships between data in a matrix. The data are arranged radially around a circle with the relationships between the data points typically drawn as arcs connecting the data.
The IEEE Visualization Conference (VIS) is an annual conference on scientific visualization, information visualization, and visual analytics administrated by the IEEE Computer Society Technical Committee on Visualization and Graphics. As ranked by Google Scholar's h-index metric in 2016, VIS is the highest rated venue for visualization research and the second-highest rated conference for computer graphics over all. It has an 'A' rating from the Australian Ranking of ICT Conferences, an 'A' rating from the Brazilian ministry of education, and an 'A' rating from the China Computer Federation (CCF). The conference is highly selective with generally < 25% acceptance rates for all papers.
Charles "Chuck" D. Hansen is an American computer scientist at the University of Utah who works on scientific visualization. He is a Distinguished Professor, a Fellow of the IEEE and a founding faculty member of the Scientific Computing and Imaging Institute. He was an associate editor-in-chief of IEEE Transactions on Visualization and Graphics.
In statistics, dichotomous thinking or binary thinking is the process of seeing a discontinuity in the possible values that a p-value can take during null hypothesis significance testing: it is either above the significance threshold or below. When applying dichotomous thinking, a first p-value of 0.0499 will be interpreted the same as a p-value of 0.0001 while a second p-value of 0.0501 will be interpreted the same as a p-value of 0.7. The fact that first and second p-values are mathematically very close is thus completely disregarded and values of p are not considered as continuous but are interpreted dichotomously with respect to the significance threshold. A common measure of dichotomous thinking is the cliff effect. A reason to avoid dichotomous thinking is that p-values and other statistics naturally change from study to study due to random variation alone; decisions about refutation or support of a scientific hypothesis based on a result from a single study are therefore not reliable.
Vega and Vega-Lite are visualization tools implementing a grammar of graphics, similar to ggplot2. The Vega and Vega-Lite grammars extend Leland Wilkinson's Grammar of Graphics. by adding a novel grammar of interactivity to assist in the exploration of complex datasets.
Jessica Hullman is a computer scientist and the Ginni Rometty associate professor of Computer Science at Northwestern University. She is known for her research in Information visualization.
Niklas Elmqvist is a Swedish-American computer scientist. He is currently a professor in the College of Information Studies, an affiliate professor in the Computer Science Department, and an affiliate member of UMIACS, all at the University of Maryland, College Park. Elmqvist served as director of the University of Maryland Human–Computer Interaction Lab from 2016-2021. Prior to joining UMD, he was a faculty member in the School of Electrical and Computer Engineering at Purdue University from 2008 to 2014.
Steven Mark Drucker is an American computer scientist who studies how to help people understand data, and communicate their insights to others. He is a Partner at Microsoft Research, where he also serves as the Research Manager of the VIDA group. Drucker is an affiliate professor at the University of Washington Computer Science and Engineering Department.
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