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Analyses of social and human activities
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The avalanche of digital data tracing social activities opens the way to combine data analysis and modeling with social science studies. Along this line, we study data representing human interaction or behaviour, or date pertaining to transportation (e.g., BSS or traffic on roads); in all these cases, the dynamics of the data (for instance of the networks uwed to represent them) is crucial and tailored methods are developed leveraging on methods in physics and/or signal processing.
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SIgnals, SYstems & PHysics
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Biomedical image and signal processing
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SiSyPh research team is putting significant efforts into developing signal/image processing tools for biomedical applications. On the image processing side, an efficient reconstruction procedure mixing on non-smooth convex optimization to balance data fidelity and regularization provides an efficient reconstruction procedure for high resolution image from low resolution records. On the signal processing side, statistical tools are customized to analyze scale invariance in heart rate variability (notably in the context of intrapartum fetal heart beat analysis) as well as in infraslow brain activity. It notably permits to relate scale invariance in background brain activity to functional connectivity and to quantify task-rest modulation of brain scaling.
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SIgnals, SYstems & PHysics
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Hydrodynamics and Turbulence
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Our team has a strong expertise on several aspects of hydrodynamics and turbulence, mixing theoretical, numerical and experimental approaches. We are focusing on internal waves and rotating fluid, acoustic spectroscopy of turbulence, particle motions in turbulent flows, thermal convection, MHD and plasma turbulence.
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Waves, Flows and Fluctuations
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Home Made Instrumentation
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Our team has a strong tradition in developing new instrumentations. Cutting-edge instruments are developed in collaboration with our workshops and cover a broad range of subject including optical tweezers, instrumented particles, plasmon microscopy, ultra-low noise measurements, enhanced force AFM.
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Waves, Flows and Fluctuations
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Scale invariance, multifractals and wavelets
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Scale invariance analysis and modeling has been a long standing research topic within SiSyPh team. Significant efforts have been and still are devoted to the definition, design and practical synthesis of stochastic processes with prescribed scaling properties, combined either to other statistic properties (distributions, dependencies) or to geometrical properties (free divergence, prescribed curl,...) to match a given application field (mainly hydrodynamic turbulence). Statistical signal processing tools are also designed and studied theoretically and practically, aiming to test the existence of scale invariance, to estimate scaling parameters or the scaling range bounds. The recent focus is on multivariate signals, and multidimensional fields with possible anisotropy.
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SIgnals, SYstems & PHysics
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Condensed matter
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D. Carpentier, P. Degiovanni, P. Delplace, A. Fedorenko, P. Holdsworth, F. Mezzacapo, E. Orignac, T. Roscilde, L. Savary.
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Theoretical Physics
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Internet traffic and networks
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The team has studied the statistics of the IP trafic over the Internet networks, both from modeling and experimental (monitoring) points of view. Results about the statistics of IP traffic were obtained (such models with Long Range Correlations) and pratical applications such as classifaction of traffic and host or anomaly detection were developed.
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SIgnals, SYstems & PHysics
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Physics of biological systems
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We explore two different tracks in the physics of biological systems: an combined experimental and theoretical approach in the quest of new diagnostic tools of cancers thought the correlation between viscoelastic mechanical properties and pathology, and a theoretical study of non-linear synchronizations in organs and tissues.
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Waves, Flows and Fluctuations
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Mathematical physics
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A. Alastuey, F. Delduc, M. Geiller, K. K. Kozlowski, G. Niccoli, E. Livine, M. Magro, J. M. Maillet, H. Samtleben
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Theoretical Physics
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Quantum Physics
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Our team uses quantum devices and matter to engineer and demonstrate various non-classical physical phenomena using superconducting and superfluid matter.
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Waves, Flows and Fluctuations
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