data driven approach: 10
members
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L. Gauvin
Data Computation and Analysis of Socio-Spatial Urban Mobility and Segregation Processes
(Machine learning and statistical physics for modelling socio-economic urban 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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J. Guérin
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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N. Bez
Geostatistics for Ecosystem Approach to Fisheries
(A study of movements and trajectories)
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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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R. Hostache
Monitoring and Integrated Modelling of Hydrological Resources and Risks (Floods and Droughts)
(remote sensing data analysis, assimilation and modelling)
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A. Drogoul
Multi-Scale Agent-Based Modelling and Simulation for Research and Operational Decision Support
(Direction in development and computer science research)
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M. Mangeas
Operational Application of Deterministic and Stochastic Mathematics to Spatio-Temporal Environment-Health Issues
(optimization, hybrid system, neural network, genetic algorithms)
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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)
