About
The Computational Engineering and Sciences (CES) research cluster investigates:
- Mathematical modelling of advanced materials, multi-physics and multi-scale problems,
- Data-driven computational modelling, prediction and inference,
- Uncertainty quantification and optimisation of technical systems,
- Advanced discretisation methods, graph analytics, and data analysis,
- Scalable scientific software for HPC-enabled numerical simulations in engineering,
- Socio-Environmental data acquisition and modelling.
Research at CES links and rationalises investigational efforts across a wide range of disciplines by tackling common fundamental methodological hurdles involved in modelling, discretising, predicting, optimising, controlling, and thereby understanding the physical world and increasingly complex technical systems. Computational Engineering and Sciences is regarded as the third pillar underpinning today’s engineering and science. It complements and extends Theory and Experimentation with powerful simulation and algorithmic approaches implemented in sophisticated scientific software and executed on high performance computing devices (HPC).
The CES research area primarily relates to mathematical and data-driven modelling. We also use data-updated models, advanced statistics, and artificial intelligence. By working closely with (applied) mathematicians, we ensure the mathematical rigour of the numerical methods developed. We collaborate with computer scientists to create powerful and robust computational techniques for reliable analysis and control of complex systems. Finally, our engineering expertise guarantees that the theories and models developed will have significant societal and economic impacts.
CES therefore builds strong interdisciplinary connections between engineering, computer science, mathematics, physics, and other priority application areas in Luxembourg. Our research has already contributed to the following fields: Space Science, Advanced Manufacturing and Materials, Robotics, Automotive, Renewable Energy, Process Engineering, Transport and Logistics, as well as Neuro-degenerative Diseases.