Yann Cabanes

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I am an assistant professor at the University of South Brittany (UBS), Vannes, France since September 2024.
I teach artificial intelligence (AI) at the IUT of Vannes in the department Data Science.
I carry out my scientific research at IRISA in the OBELIX team.
My research fields are mathematics, machine learning, quantum machine learning and signal processing (in particular radar signal processing).
My works are mainly applied to radar machine learning, for example the detection and classification of drones from radar data.

I worked as a postdoctoral fellow in the "Systems and Computer Engineering" department with Professors Sreeraman Rajan and Bhashyam Balaji at Carleton University, Ottawa, Canada from June 1, 2022 to August 31, 2024.

I also worked as a part-time research engineer at the University of Rennes 2 to maintain and develop the open source Python package for time series learning named tslearn from May 16, 2022 to August 31, 2024.

I worked as a PhD student CIFRE-Défense at Thales Land and Air Systems (LAS) Limours and the Institute of Mathematics of Bordeaux from December 1, 2017 to March 31, 2022.
My thesis work was supervised by Marc Arnaudon, Jérémie Bigot and Frédéric Barbaresco.
During this thesis, an efficient method has been developed to classify multidimensional complex stationary centered Gaussian autoregressive time series.
These time series are represented in a Riemannian manifold in which the classification is performed.
Efficient machine learning algorithms have been written to apply this theory to radar clutter clustering and the classification of stereo audio stationary sounds.

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