PhD Students and Post-docs:
Ongoing Thesis :
Léo Hemanou (Telecom-ParisTech-LIMSI-Easyrecrue) (October 2017 -) : Automatic analysis of social signals during Job interviews Co-supervision with Jean-Claude Martin and Grégory Wajntrob
Hamid Jalalzai (Telecom-ParisTech-LIG) (October 2017- ) : Weak signals detection for opinion analysis in twitter. Co-supervision with Anne Sabourin and Eric Gaussier (LIG)
Valentin Barrière (Telecom-ParisTech): Feature Function Learning for Sentiment Analysis in speech interactions (october 2015 -). Co-supervision with Slim Essid.
Irina Malslowski (Telecom-ParisTech-EDF R&D) : Analysis of customers’ opinions in their interactions with Embodied Conversational Agents for customer relationship management (january 2015 – ). Co-supervision with Delphine Largarde (EDF R&D) and Catherine Pelachaud.
Thomas Janssoone (Telecom-ParisTech-ISIR) : Multimodal analysis and recognition of social signals: application to social stance generation in virtual agents (october 2014 – ). Co-supervision with Gaël Richard, and K. Bailly (ISIR)
Caroline Langlet (Telecom-ParisTech) : User’s sentiment analysis in human-agent interactions (november 2013 – ) Co-supervision with Catherine Pelachaud (Telecom-ParisTech)
Defended Thesis :
Camille Dutrey (EDF R&D) : Adaptation of information extraction methods to speech conversational data (december 2011 – defended in December 2014 ) Co-supervision with : Sophie Rosset (LIMSI-CNRS), Martine Adda (Université Sorbonne Nouvelle), Ioana Vasilescu (LIMSI-CNRS )
Rémi Lavalley (EDF R&D) : Automatic extraction of textual segments for the detection of speaker roles, topics, and polarities (defended in July 2012) Co-supervision with : Marc El-bèze (Université d’Avignon), Patrice Bellot (Université d’Aix Marseille)
Atef Ben Youssef (Telecom-ParisTech-Softbank robotics) : Multimodal analysis of user’s behavior in human-robot interaction (started in September 2016). Co-supervision with Slim Essid and Angelica Lim (Softbank robotics)
Brian Ravenet (Telecom-ParisTech): Automating the production of communicative gestures in embodied characters (started in February2017). Co-supervision with Catherine Pelachaud
Guillaume Dubuisson-Duplessis (Telecom-ParisTech-ISIR) : Measuring verbal alignment in human-agent interaction (Jan-2017, Dec. 2017). Co-supervision with Frédéric Landragin
Varun Jain (Telecom-ParisTech-ISIR) : Models of intra-synchrony for ECA’s behavior generation : speech and gesture (Oct. 2016-Oct. 2017, Aria-valuspa project). Co-supervision with Catherine Pelachaud
Giovanna Varni (Telecom-ParisTech-ISIR) : Generalized computational models of interpersonal synchrony: from human-human to human-machine interaction (started in October 2015, Labex Smart). Co-supervision with Mohamed Chetouani
Sabrina Campano (Telecom-Paritech) : Verbal alignment in human-agent interaction (July 2013 – May 2015)
ANR JCJC MAOI – Multimodal Analysis of Opinions in Interactions
The Chair Machine Learning for Big data is a Télécom ParisTech Chair. It aims at developing methodological research addressing the challenges posed by the statistical analysis of big data.
The French national ANR project ACORFORMed (2015-2017) : Virtual Reality for Training Doctors to Break Bad News.
Sense project in the context of Smart labex : the project focuses on socio-emotional signals in interactions and deals with research issues covering the signal capture (audio, video, neurophysiologic), the socio-emotional signal interpretation and modelisation and its exploitation (virtual agents, musical interaction, group of persons). The model developed through the project will be evaluated through realistic scenarios.
French national project A1:1: dialog with a life-size avatar in a cultural place, including verbal and non verbal communication dimensions.
French national project ImagiWeb
The Equipex (Equiment of Excellence) DIME-SHS (Données Infrastructures et Méthodes d’Enquête en Sciences Humaines et Sociales) : member of scientific committee
French national project Voxfactory: emotion recognition and sentiment analysis in call-centres
French national project Doxa: design a solution for automatically understanding and interpreting subjective data such as opinions and sentiments