Cemosis / Research topics

Research areas

Modelling, simulation and scientific computing at the University of Strasbourg.

Modelling

Mathematical models of physical systems.

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Simulation

Numerical methods and simulation of physical phenomena.

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Optimisation

Design, inverse problems and optimal control.

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Artificial intelligence (AI)

AI methods for scientific research.

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Machine learning

Learning from data for prediction and analysis.

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Scientific machine learning (SciML)

Combining physical models, numerical methods and machine learning.

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Signal and image processing

Processing, reconstruction and analysis of signals and images.

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Data processing

Scientific data preparation, analysis and interpretation.

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High-performance computing (HPC)

Parallel computing, scientific software and computing infrastructure.

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Digital twin

Connecting numerical models and observations to represent and monitor physical systems.

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Uncertainty quantification

Assessing how uncertainty in data and models affects predictions.

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Collaboration and training

The platform contributes to interdisciplinary projects, develops scientific software and provides training in its methods and tools.