Research interests

 

Machine learning and artificial intelligence for temporal data analysis, especially:

  • multiview learning;
  • structured prediction;
  • representation learning and data decomposition methods;

with applications to:

  • machine listening and music content analysis (MIR);
  • multimodal perception: human behaviour analysis and affective computing, including EEG data analysis;
  • multimedia content analysis, especially joint audiovisual data analysis.

For more information about my research activities check the publications, research software, demos, or educational material I have contributed to. You can also read about the research projects I have been involved in, including the PhD students and post-docs I have advised.

Affiliations

 
  • Full Professor of Télécom ParisTech (TPT), with the department of Images, Data and Signals (IDS);
  • Coordinator of the Audio Data Analysis and Signal Processing subgroup (ADASP) within the Signals, Statistics and Machine Learning team (S²A) of the Laboratoire de Traitement et Communication de l'Information (LTCI);
  • Faculty member of Université Paris Saclay's STIC doctoral school;
  • Member and former coordinator of DigiCosme labex's PASADENA working group on the prediction and analysis of structured and heterogeneous data.

Short bio

 

Slim Essid is Full Professor of Télécom ParisTech and the coordinator of the Audio Data Analysis and Signal Processing team (ADASP, formerly known as the AAO group). He received the state engineering degree from the École Nationale d’Ingénieurs de Tunis in 2001; the M.Sc. (D.E.A.) degree in digital communication systems from the École Nationale Supérieure des Télécommunications, Paris, France, in 2002; the Ph.D. degree from the Université Pierre et Marie Curie (UPMC), in 2005; and the habilitation (HDR) degree from UPMC in 2015.
He has been involved in various French and European research projects among which are Quaero, EU Networks of Excellence FP6-Kspace and FP7-3DLife, and collaborative projects FP7-REVERIE and FP7-LASIE.
Over the past 10 years, he has collaborated with 12 post-docs and has graduated 7 PhD students; he is currently advising 6 others.
He has published over 100 peer-reviewed conference and journal papers with more than 100 distinct co-authors.
On a regular basis he serves as a reviewer for various machine learning, signal processing, audio and multimedia conferences and journals, for instance various IEEE transactions, and as an expert for research funding agencies.

Contact information

 
  • e-mail: firstname.lastname_at_telecom-paristech_dot_fr
  • Address:
    Room E405
    46, rue Barrault,
    75013 - Paris - FRANCE
    Indications on how to get there can be found here
  • Phone:
    +33-1 45 81 71 71
  • Fax:
    +33-1 45 81 71 44