Portrait Diego Di Carlo (page perso)
Diego Di CarloAssistant Professor

Repères biographiquesShort Biography

Diego Di Carlo received his Master’s in Computer Engineering from the University of Padova in 2017 and a Ph.D. in Audio Signal Processing from Université de Rennes 1 and INRIA in 2020. After a one-year postdoc at Université de Rennes 2 in the LETG team, focusing on Physics-Informed Machine Learning, he joined RIKEN AIP in Japan in 2022.


Activités : enseignement, recherche, projetsActivities : Teaching, Research, Projects

Since 2025, he is Assistant Professor (Maître de Conférences) in the ADASP group at Telecom Paris, Institut Polytechnique de Paris, in France.
His research centers on spatial audio processing, particularly applying neural generative models with physical constraints with  application in augmented and virtual reality.

Research activities :

Machine Learning and Signal Models

  • Physics-informed and model-based machine learning
  • Generative and statistical machine learning (deep Bayesian models)
  • Non-linear regression, interpolation/up-sampling/super-resolution

Audio Inverse Problems

  • Sound source localization, separation, speech enhancement,
  • Room acoustics and sound field reconstruction.
  • Augmented Listening and Mixed Reality (Hololens2 and smart-glasses).

Other problems

  • Music Information Retrieval and Digital Audio Effects
  • Point Cloud processing and 3D (Neural) Rendering
  • Reproducible research (experiment orchestration and pipelines)

Teaching activities

  • Fundamentals of AI
  • Numerical Analysis
  • Time series

PublicationsPublications
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