
Carlos Granero Belinchon
Présentation
Carlos Granero Belinchón est licencié en physique par l'Universidad Autónoma de Madrid, Espagne, 2014. Après avoir obtenu un diplôme de Master en physique de plasmas à l'université Paris VI et l'École Polytechnique, il a obtenu un doctorat en physique et traitement de signal à l'ENS de Lyon, France, 2018. Entre 2018 et 2020, il a occupé une position post-doctorale à l'ONERA de Toulouse. Actuellement, il est enseignant chercheur dans le département Mathematical and Electrical Engineering de l'IMT Atlantique, et membre de l'équipe Ocean Signal and Environment du Lab-STICC.
Sa recherche se trouve à l'interface entre la physique non-lineaire et le traitement de signal et image. Ainsi, elle concerne principalement le développement de nouvelles méthodologies d'analyse statistique du signal pour l'étude de processus et systèmes complexes. Il est principalement intéressé par la modélisation multi-échelles, le phenomène d'invariance d'échelle et l'analyse multirésolution ainsi que par l'utilisation de ce type d'approches pour la caractérisation du phenomène de turbulence et les dynamiques océaniques.
Publications
Publications
Relationship between Unpredictability and Intermittency with analog-based forecasting: from shell models to experimental turbulenceSTATPHYS 2025 - 29th International Conference On Statistical Physics, Jul 2025, Florence (IT), Italy
Communication dans un congrès
hal-05125207
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Equation discovery for climate impact: symbolic regression to emulate climate impact indicators for unseen scenariosEGU 2025 - European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-3836⟩
Communication dans un congrès
hal-05054197
v1
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A multiscale characterization of turbulence based on information theoryEFDC2 2025 - 2nd European Fluid Dynamics Conference, Aug 2025, Dublin, Ireland. pp.1-2
Communication dans un congrès
hal-05125225
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Object-oriented mesoscale eddy predictionEGU 2025 - General Assembly of the European Geosciences Union, Apr 2025, Vienna, Austria. ⟨10.5194/egusphere-egu25-4043⟩
Communication dans un congrès
hal-05054174
v1
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Deep Learning for Lagrangian Drift Simulation on Sea SurfaceClimate Informatics 2024, Alan Turing Institute, Apr 2024, London, United Kingdom. pp.1-3
Communication dans un congrès
hal-04569396
v1
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A predictability-based characterization of intermittency in turbulenceEFDC1 2024 - 1st European Fluid Dynamics Conference, Sep 2024, Aachen, Germany. pp.1-1
Communication dans un congrès
hal-04694770
v1
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Deep learning for Lagrangian drift simulation at the sea surfaceICASSP 2023: IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2023, Rhodes, Greece. ⟨10.1109/ICASSP49357.2023.10094622⟩
Communication dans un congrès
hal-03852489
v1
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Deep Learning for Lagrangian Drift Simulation at Sea Surface2023 - 54th International Liège Colloquium on Ocean Dynamics, Université de Liège, May 2023, Liège, Belgium
Communication dans un congrès
hal-04461939
v1
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Deep Learning approaches to simulate Lagrangian particle dynamics at sea surfaceSea Tech Week 2022, Session "Marine Litter Solutions for Monitoring Mitigation and Prevention", Sep 2022, BREST, France
Communication dans un congrès
hal-03795063
v1
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LST and SUHI retrieval with a material-oriented Temperature and Emissivity Separation algorithm for airborne and spaceborne thermal sensorsRAQRS 2022, Sep 2022, Torrent, Spain
Communication dans un congrès
hal-04852206
v1
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LST retrieval with a material-oriented TES for TRISHNA: the specific case of urban areasTRISHNA DAYS 2022, Mar 2022, Toulouse, France
Communication dans un congrès
hal-04970643
v1
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Sharpening of the Land Surface Temperature over urban areas for TRISHNA: a statistical-based approachTRISHNA DAYS 2022, Mar 2022, Toulouse, France
Communication dans un congrès
hal-04970285
v1
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Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia. ⟨10.23919/EUSIPCO55093.2022.9909569⟩
Communication dans un congrès
hal-03580148
v2
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Mapping Of Urban Land Surface Temperatures By The Future THRISHNA Mission: Focus On Inversion And Sharpening MethodsEARSeL Urban Joint Workshop, May 2020, Liège, Belgium
Communication dans un congrès
hal-04902258
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Land Surface Temperature Retrieval over Urban areas from simulated TRISHNA data2019 Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France. pp.1-4, ⟨10.1109/jurse.2019.8808979⟩
Communication dans un congrès
hal-03195869
v1
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Mutual Information for Intrapartum fetal Heart Rate AnalysisEMBC 2017, Jul 2017, Jeju Island, South Korea
Communication dans un congrès
ensl-01637094
v1
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Quantification of non-stationarity across the scales of turbulence with information theorySTATPHYS 2025 - 29th International Conference On Statistical Physics, Jul 2025, Florence, Italy. Proceedings of STATPHYS29, 2025
Poster de conférence
hal-05125253
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Assessing the usefulness of Land Surface Temperature spatial disaggregation for water stress mapping in the frame of the preparation of the Trishna missionRecent Advances In Quantitative Remote Sensing, Sep 2022, Torrent, Valencia, Spain
Poster de conférence
hal-03923959
v1
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Relationship between unpredictability and intermittency in shell models of turbulence and experiments2025
Pré-publication, Document de travail
hal-05110160
v1
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Simulation-informed deep learning for enhanced swot observations of fine-scale ocean dynamics2025
Pré-publication, Document de travail
hal-05004872
v1
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Structure functions and flatness of streamwise velocity in a turbulent channel flow2025
Pré-publication, Document de travail
hal-05094264
v1
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Neural prediction of Lagrangian drift trajectories on the sea surface2024
Pré-publication, Document de travail
hal-04569385
v2
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Multiscale Information Transfer in TurbulenceSignal and Image Processing. Université de Lyon, 2018. English. ⟨NNT : 2018LYSEN040⟩
Thèse
tel-01968074
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