Robust 3D imaging using single-photon LiDAR, sensor fusion, underwater imaging, and advanced detection algorithms for photon-starved environments. Developing Bayesian and deep-learning approaches for depth and reflectivity estimation from TCSPC data.
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Nonlinear spectral unmixing, endmember extraction and variability analysis, and intrinsic dimension estimation for hyperspectral remote sensing. Development of Bayesian models accounting for nonlinear mixing effects.
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Automated defect detection on wind turbine blades using drone-captured imagery, few-shot learning techniques, and deep learning architectures for structural health monitoring.
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Analysis of energy-dispersive X-ray spectroscopy (EDX) data, multiscale Bayesian modelling for material characterization, and advanced signal processing for materials imaging.
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Functional MRI analysis, BOLD signal modelling, brain segmentation, and Bayesian approaches for neuroimaging. Collaboration with NeuroSpin/CEA.
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Coastal and open-ocean satellite altimetry, delay/Doppler parameter estimation, waveform denoising, and antenna mispointing correction. Collaboration with CNES and CLS.
ExploreSatellite Altimetry Research