teaching in computer science: 7
members
-
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)
-
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)
-
L. Berti-Equille
Data Quality Awareness for Computational Sustainability
(Statistical machine learning, data cleaning, probabilistic inference, data fusion, data quality, data management)
-
J. Guérin
Developing Machine Learning Approaches to Enhance Global Resilience to Climate Change
(ML experiments design, runtime monitoring, robustness assessment, optimisation and evaluation)
-
E. Reuter (CSS5 resigned 2024)
Full-Stack Development and Management of Network and DataBase Solutions
(network cartography, database cleaning, cybersecurity)
-
N. Barrier
Improving computational efficiency of multi-level, multi-scale marine environment models
(oceanography, hydrodynamics, ecology, trophic chain)
-
A. Drogoul
Multi-Scale Agent-Based Modelling and Simulation for Research and Operational Decision Support
(Direction in development and computer science research)
