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Statistical physics, signal processing and information theory
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We apply concepts from Statistical Physics, nonlinear Physics and Information Theory to define or refine signal processing tools.
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SIgnals, SYstems & PHysics
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Inverse problems in imaging
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The group has recently developed an activity focused on the resolution of inverse problems and optimisation. The inverse problems we consider can be split in three topics :
- Image restoration
- Non-stationarity and optimisation
- Change-point detection and segmentation for regularity estimation
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Protein interactions at the single molecule level
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Using experimental and numerical simulation, we investigate the interactions of proteins with DNA and other proteins at the single-molecule level
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Physics of life and active matter
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Quantum Fields & Gravitation
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Theory & Models
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Quantum information
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Developing new tools, concepts, and strategies for quantum information science.
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Quantum matter and systems
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Quantum matter
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Studying the fundamental properties and emergent behaviors of quantum materials.
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Quantum matter and systems
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Quantum sensing and metrology
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Designing and advancing techniques for high-precision measurement using quantum effects.
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Quantum matter and systems
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Quantum transport
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Investigating and engineering energy transport and dissipation at the quantum scale.
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Quantum matter and systems
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Biological and genomic signals and images
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Graph signals and complex networks
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Data appear often with a mixture or relational properties –coded by graphs or networks–, and attributes —naturally dealt as signals (possibly multivariate signals). An activity of the group is to study signal an ddata processing for these types of data, both for graph signals (when a signal is indexed by a graph) and for complex networks where the signal of interest is the network itself. In both cases, the group has a specific interest in networks which are dynamic, or for which a multiscale approach is fruitful.
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