Tenured Assistant Professor 
 CentraleSupélec, IETR (UMR CNRS 6164)
        
        
         simon.leglaive@centralesupelec.fr
        
          +33 (0)2 99 84 45 82
        
          
          CentraleSupélec - Rennes Campus
          Avenue de la Boulaie
          CS 47601
          F-35576 Cesson-Sévigné Cedex
          
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| 09/2019 - today | 
              Tenured Assistant Professor (Maître de Conférences)
               CentraleSupélec, IETR (UMR CNRS 6164), AIMAC team Rennes, France  | 
          
| 02/2018 - 08/2019 | 
              Postdoctoral Researcher
               Inria Grenoble Rhône-Alpes, Perception team Montbonnot-Saint-Martin, France  | 
          
| 10/2014 - 12/2017 | 
              PhD Student
               LTCI, Télécom Paris, IDS department, S2A group Paris, France Supervised by Roland Badeau and Gaël Richard  | 
          
| 03 - 08/2014 | 
              Research Intern
               Audionamix Paris, France Supervised by Romain Hennequin  | 
          
| 2014 - 2017 |  
            PhD degree - Audio Signal Processing
             LTCI, Télécom Paris, IDS department, S2A group Paris, France  | 
        
| 2013 - 2014 | 
            Master degree - ATIAM (Acoustics, Signal Processing and Computer Science Applied to Music)
             IRCAM, Sorbonne University, Télécom Paris Paris, France Received with high honors  | 
        
| 2011 - 2014 | 
             Engineering degree  - Audio Signal Processing
             Télécom Paris Paris, France  | 
        
| 2008 - 2011 | 
             Licence degree  - Electronics engineering
             Sorbonne University Paris, France Received with high honors  | 
        
| 2025 - 2028 |  
            DEESSE (ANR-24-CE23-2229) - Partner
             The DEESSE project focuses on deep generative source separation in ambisonic recordings. This collaborative research project, funded by the French National Research Agency (ANR), is coordinated by Orange Labs in partnership with Télécom Paris - IPP - LTCI, GIPSA-Lab, and CentraleSupélec - IETR.  | 
        
| 2024 - 2027 |  
            DEGREASE (ANR-23-CE23-0009) - Coordinator and principal investigator
             The DEGREASE project focuses on deep generative and inference models for weakly-supervised speech enhancement. It is funded by the French National Research Agency (ANR) within the Young Researcher program (JCJC).  | 
        
| 09/2025 - | 
              Hajar Goddi
               Multimodal representation learning for the analysis of human interactions.  | 
          
| 06/2025 - | 
              Yoto Fujita
               Semi-supervised source separation in ambisonic recordings using deep generative models.  | 
          
| 01/2025 - | 
              Sofiene Kammoun
               Deep generative models for weakly-supervised speech enhancement.  | 
          
| 10/2021 - 11/2024 | 
              Guénolé Fiche
               Thesis title: Learned latent representations for human mesh recovery Subsequent position: Research scientist at NAVER LABS Europe, Grenoble, France.  | 
          
| 11/2020 - 03/2024 | 
              Samir Sadok
               Thesis title: Audiovisual speech representation learning applied to emotion recognition Subsequent position: Postdoctoral researcher at Inria, RobotLearn Team, Grenoble, France.  | 
          
| 09/2019 - 03/2022 | 
              Adrien Llave
               Thesis title: Improvement of speech intelligibility and spatial hearing for aided listeners Subsequent position: Research engineer at Orange Labs, Rennes, France.  | 
          
| 2023 - 2025 | 
              Elected member of the IEEE Technical Committee on Audio and Acoustic Signal Processing (AASP)
               Vice-chair and then chair (as of 03/2025) of the Education Subcommittee  | 
          
| 2022 - today | Nominated member of the IETR laboratory (UMR CNRS 6164) council | 
| 2023 | Coorganizer of the CHiME-7 UDASE challenge | 
| 2021 | Organizing committee member of Journée Science et Musique 2021 |