University of Strasbourg
Connecting models, data and discovery
Cemosis is a University of Strasbourg research platform bringing together mathematical models, data and artificial intelligence for interdisciplinary research.
Research topics
Application domains
A University of Strasbourg platform, hosted at IRMA. Part of the CoRTecS network.
News
All news →Platform news and the latest publications from our community.
Exa-MA: general assembly in Bordeaux in January 2027
Read →
Chicago: an urban reconstruction for NumPEx at SC26
Read →
Hanna Chetouane begins a CIFRE PhD with AVNIR Energy
Read →Abdoulaye Samaké joins Cemosis for the FLOOD project
Read →JNL-G general assembly in Grenoble
Read →Feel++ Release V111 preview.13
Read →Projects and funding
All projects →Exa-MA
Methods and algorithms for exascale computing.
The project →SAGE-HPC
Multi-fidelity optimisation and high-performance computing.
The project →JNL-G
A digital twin of the French National High Magnetic Field Laboratory in Grenoble.
The project →CoE HiDALGO2
Environmental challenge simulations on European supercomputers.
The project →CIFRE AVNIR Energy
Vibroacoustic simulation and structural health monitoring.
The project →FLOOD · Urban flooding
Urban flood simulation with Feel++ and Ktirio Urban Building.
The project →Ktirio Urban Building
Urban models and simulation at building and city scales.
The project →Brain Organ-on-Chip
Microscopy, cell tracking and numerical models for brain organ-on-chip experiments.
The project →InflamTwin-ICU
Mathematical digital twins for patient trajectories in intensive-care septic shock.
The project →Scientific software
Our software →Feel++
Multiphysics modelling, finite elements and parallel computing.
Ktirio Urban Building
Energy simulation of buildings and cities.
Ktirio GeoM
Geometry and meshing of urban environments for simulation.
Ktirio GUI
Graphical interface to prepare, run and explore Ktirio simulations.
Research areas
Applied mathematics, numerical methods and interdisciplinary collaboration.
Modelling & simulation
Mathematical models, numerical methods and optimisation.
Data science
Statistical analysis and machine learning.
High-performance computing
Parallel computing and scientific infrastructure.
AI, machine learning & SciML
Physical models and scientific machine learning.
Signal & images
Processing, reconstruction and analysis.
