Benjamin Renoust Email & Phone Number

Antibes, Fr

Valbonne, Provence-Alpes-Côte D'Azur, France

Head of Data and Knowledge Engineering, eyonis Senior Data Scientist Refine the data to power our AI factory. The data and knowledge engineering team handles the data lifecycle from ingestion to ML preparation. Includes visual analytics and knowledge representation and mining.We organize data, manage all ETL pipelines to prepare data and collect, curate, and align ground truth before experiments. We run experiments to evaluate different facets of our AI products. We are in charge of the design and execution of all the independent verification, and FDA validation of our AI products.

Osaka, Japan

Artificial Intelligence and Mathematics (AIM) GroupCurrent projects include:- Analysis of history of Buddhism through Buddha statue faces (CBIR+Knowledge Graph+Visual analytics)- Analysis of networks derived from the quantum state of condensed matter (Graphs+Visual analytics)- Analysis of historical meeting documents (Graphs+Visual analytics)- Analysis of law documents across countries (Graphs+Visual analytics)- Analysis of multilayer networks from multimedia documents (movies, news archives) (Temporal+multilayer networks+visual analytics)Benjamin's work turns real-word problems into visual explorations. He is recently focused on Networks and Multimedia Analytics, a crosspoint between Visual Analytics and Multimedia Analysis, in which he brings a special touch of Network Analysis that combines heterogeneous and relational information.Keywords : Network analysis, Visual analytics, Multimedia analysis, Data analysis, Complex networks, Information visualization.Until Oct 2019 Specially Appointed Associate Professor (特任講師), then Guest Associate Professor

Tokyo, Japan

CNRS UMI 3527From January 2018, associate member.Until December 2017, associated through JSPS Postdoc fellow at NII's Shin'ichi Satoh's Laboratory.

Tokyo, Japan

JSPS Post fellow at Shin'ichi Satoh's Laboratory. The current goal of my research is the comparison of Japanese and French news landscapes collecting advances in a pluri-disciplinary manner, with a large application for networks analysis and visualization.

Bordeaux , France

KRM is an information analysis and visualization consultancy start-up. We bring understanding of data through expertise in data analysis, mining, and representation, bridging the complexity of the information with your domain knowledge and expertise.

Bordeaux

Overall thesis: Graph visualization. Visualization of multilayered graphs. Provide comprehensive visualization of complex graphs. Modelling information data into multi layer graphs for visualization and mining.At INRIA:Analysis and visualization of graphs applied to social networks.Collaborating in the project FP7 Emergence by Design (MD):http://emergencebydesign.org/In this project, we are looking for factors of innovation emergence from the point of view of networks.

Région De Bordeaux , France

Cf. Ph. D. candidate at LaBRI, INRIA, or INA.

Overall thesis: Graph visualization. Visualization of multilayered graphs. Provide comprehensive visualization of complex graphs. Modelling complex data into multi-layer graphs for visualization and mining.At LaBRI:We develop tools to visualize and interact with complex graphs fitting our models:see http://github.com/TulipPosy for more detailshttp://www.labri.fr/index.php?n=MaBioVis.MaBioVis

Overall thesis: Graph visualization. Visualization of multilayered graphs. Provide comprehensive visualization of document graphs. Modelling information data into multi layer graphs for visualization and mining.At INA:We apply graph visualizations to news subjects allowing visual clustering and high level information extraction. The model helps expert users to grasp the inner structure of the information putting forward the different facets of the information. The aim of our work is to offer a scalable quantitative study of the information landscape. Additionally, we seek for visual paradigms helping Ina's employees in their everyday tasks (such as thesaurus visualization...)Collaborating in the ANR Contint project OTMedia:http://www.otmedia.fr/

Nlp*Cl

Research in the use of emotions to be included in HMI. Focus on the case of empathy and the simulation of the emotional process. In the human decision making process, emotions play an important role especially on the social relationships. A machine interacting with emotions is more socially accepted because people develop affective feelings towards it. We can think of emotions as a mean of communication. As every communication implies a protocol, empathy would allow the understanding of the carried message. By empathy, new emotions are learnt and understood by an agent. Empathy can be therefore seen as a process of emotions, that influences future behavior and expressions of emotions. This approach brings a new view on programming emotions as a mean of expression. Through them are expressed the reasons that induced a specific behavior, and empathy allows to understand, learn, and answer to the emotions. This field brings the next generation of Human Machine Interactions. The study of empathy will provide the solution for new adaptive and individualized interactions between human and machines. Research under the IITA scholarship.

Nlp*Cl

Research in the field of emotional robotics. Expression of emotions through the body language using a humanoid robot (Bioloid).

R&D, development of URBI engines for several robots (Pioneer II, ePuck, Khepara III, Varibo, mindstorms NXT, irobot Create...), development of a standard library for URBI.

Development of a toolbox to show drugs likeness to help researchers in biomolecular design (application of machine learning techniques).

Doctor Of Philosophy (Ph.D.)

Engineer - Master

Engineer - Master

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