Modelling and Optimization
We optimize communication networks and connected industrial applications through machine learning and mathematics
About the lab
In our lab we design communication networks that configure themselves without manual intervention, and we build connected applications that enable continuous monitoring and optimization of modern industrial facilities. Our daily toolkit includes machine learning, operations research, statistics and mathematical optimization, and we always aim for solutions that have a solid theoretical grounding. Current projects include AI for self-optimizing networks, navigation and localization for autonomous industrial robots, knowledge extraction from unstructured databases, and drone-based industrial monitoring.
