Thomas Oberlin

Thomas Oberlin is a Professor of Image Processing and Machine Learning at ISAE-SUPAERO, leading the ADO research group and serving as Associate Editor for the IEEE Transactions on Signal Processing. His research focuses on representation learning, multivariate image processing, and latent factor models with applications in Earth observation.

Education:

• 2022: Professor at ISAE-SUPAERO
• 2021: HDR (Habilitation) from Toulouse INP
• 2013: PhD in Applied Mathematics and Signal Processing (Univ. Grenoble Alps)
• 2010: MSc in Applied Mathematics (Univ. Grenoble Alps)

Research Interests:

• Deep neural networks and regularization techniques
• Hyperspectral/spectral imaging and unmixing
• Time-frequency analysis and generative models

Current Projects: Supervising ANITI RELEO-funded PhDs on generative models for Earth observation. Contact via email or visit his office at DISC Department, ISAE-SUPAERO.