Enhanced Decision Making for Engineering Applications
We help companies make critical decisions during design, development and operation of complex engineering systems.

Scientific Computing
Using High Performance Computing systems we perform Computational Fluid Dynamics simulations in the fields of:
Aerodynamics
Aerothermodynamics
Space Propulsion Systems
Space Environmental Awareness
Renewable Energy Systems
Turbomachinery
Domain-Aware Machine Learning
In order to make the best of small datasets from scientific computing or experiments, we develop novel machine learning algorithms that implements the physical laws into the training stage resulting in;
Better performance with smaller datasets
Reduction in cost related to computational and experimental analysis
Models that are explainable and interpretable by domain experts


Enhanced Decision Making
By making use of existing data/information or generating new ones through simulations, we develop customized frameworks to perform:
Optimization
Sensitivity Analysis
Uncertainty Quantification
Advanced Control System Development
Surrogate Modeling