ABOUT ME
I am an assistant professor (maître de conférences) at Université Sorbonne Paris Nord (Paris 13). I teach at the department of physics at Institut Galilée.
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I was a post-doc researcher at Laboratoire Astroparticule & Cosmologie (APC) in France. I am of Chinese nationality, and I live in Antony (south of Paris).
I did my Ph.D. at Université Paris-Sud, Université Paris Saclay at Laboratoire des Signaux et Systèmes (LSS). I was also a Monitor at the Department of Physics at Université Paris-Sud.
I work in the domain of Signal Processing and the topic of my Ph.D. research is Convolutive Blind Source Separation for the under-determined mixture. I am also interested in the domain of Sparse Representation, Machine Learning, Pattern Recognition, Image Processing, Dictionary Learning, Time-Frequency Representation, Frame Theory, Compressed Sensing, etc.
EDUCATION
RESEARCH INTERESTS
The detection of Gravitational Wave
The first direct detection of gravitational waves was recently carried out by the Laser Interferometer Gravitational-wave Observatory (LIGO) detectors. This marks the beginning of a new astronomy using gravitational radiation as a new means of observing the Universe. Gravitational astronomy will give access to information on massive and dense astrophysical objects such as black holes, neutron stars or dwarf stars that are difficult to access to conventional astronomy (using electromagnetic radiation, light, for example)
Sparse representation
For audio signals or images, with a well-chosen dictionary, the signal can be very well represented by only a few atoms. The sparse representation can be used for denoising, inpainting and blind source separation, etc.
2012 - 2014
Master: Automatique et Traitement du Signals et des Images (ATSI)
Blind source separation for convolutif under-determined mixtures
From convolutif mixtures with less microphones than sources, the target is to estimate (separate) the sources from the observations (mixtures)