teaching in computer science: 6
members
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J.-D. Zucker
AI and Machine Learning for decision support tools addressing precision medicine and natural hazards issues
(Explainable Machine Learning and Agent-Based Multiscale Modelling)
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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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N. Barrier
Improving computational efficiency of multi-level, multi-scale marine environment models
(oceanography, hydrodynamics, ecology, trophic chain)
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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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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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E. Reuter
[IN CONSTRUCTION - NOT VALIDATED] Full-Stack Development and Management of Network and DataBase Solutions
(network cartography, database cleaning, cybersecurity)
