Group info

We work at the intersection between engineering, physics, mathematics, and computer science, developing computational modeling and design techniques that are of direct relevance to industry and society.

Our techniques are embedded in our own in-house finite element library , which was designed for rapid development and testing without compromising performance. This is achieved by mixing Python with C++, getting the best of both programming languages—the performance of C++ combined with the high-level, flexible, and rapid development of Python.

Postdoctoral researchers

Team Member

Paulo Salvador
BRITTO NIGRO

Machine learning

Paulo investigates the use of machine learning for obtaining optimal designs via topology optimization.

PhD candidates

MSc students (current and former)

Former members