data preprocessing: 14
members
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A. Dehecq
Automated Exploitation of Satellite and Airborne Archives to Measure Glacier Displacement and Ground Movements
(development of free tools for the analysis of Digital Terrain Models (DTMs))
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C. Selinger (CSS5 resigned 2021)
Computational and Mathematical Modelling of Multi-Strain Viral Epidemics
(stochastic simulation, machine learning, bayesian computation, graph theory)
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S. Fiat
Curation, Conservation and Management of Scientific Data Portals on Reef Ecosystems
(Development, coordination and management of Information Systems)
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L. Berti-Equille
Data Quality Awareness for Computational Sustainability
(Statistical machine learning, data cleaning, probabilistic inference, data fusion, data quality, data management)
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E. Roux
Design of Cross-Border One-Health Observatories in South America
(Data science and models for understanding and control of eco-epidemiological systems)
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N. Barrier
Improving computational efficiency of multi-level, multi-scale marine environment models
(oceanography, hydrodynamics, ecology, trophic chain)
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P. Larmande
Knowledge Extraction and Diffusion of Genome-Phenome Relationships in Tropical Agronomy
(semantic web and ontologies, interoperability, FAIR data portal development)
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S. Giffard-Roisin
Machine Learning for Surveillance, Understanding and Prediction of Natural Hazards
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J.C. Bader (retired 2021)
Monitoring, Modelling and Simulation of River Hydrology
(Proactive Management of Water Reservoirs and Floods in West Africa)
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F. Niño
Processing and Dissemination of Satellite Altimetry Data for Water Resources and Coastal Management
(radar altimetry, deep learning, numerical simulation)
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M.Capello
Reconciling Exploitation and Conservation of Tropical Pelagic Ecosystems
(Derivation of alternative abundance indicators coupling operational models with fishery independant data)
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S.Ferrant
Spatial Agro-Hydrology; Satellite Data Mining and Assimilation
(Modelling and predicting interactions between agriculture and water resources)
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J. Guérin
[IN CONSTRUCTION - NOT VALIDATED] Developing Machine Learning Approaches to Enhance Global Resilience to Climate Change
(ML experiments design, runtime monitoring, robustness assessment, optimisation and evaluation)
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L. Demagistri
[IN CONSTRUCTION - NOT VALIDATED] Processing Landscape Features using Remote Sensing Images to Power Decision Support Tools
(promoting open science and contribution of the unit to national data warehouses)
