Since our society collects ever more data, and computers get ever better computational speed, understanding the basis for computations is ever more important. Our group studies and applies computational tools to engineering problems
The engineering computing research group works in the interface between computational mathematics, data science, computer science and engineering. We construct and analyze computational and mathematical tools that can be, and are, applied to solve and study problems from several engineering disciplines.
Our fields of research include various topics from scientific computing, numerical methods for partial differential equations (PDEs), PDE constrained optimization, geometric numerical integration, numerical analysis, mesh generation and properties of meshes, theory of communication, data science, machine learning and artificial intelligence.
Application areas currently being pursued include computer graphics, image and signal processing, code theory and cryptography, computational medicine and biomedical engineering, electromagnetism, nano materials, solar cells, semiconductors, fish migration and fish stock management.
As a group, we are responsible for one part of the PhD programme in Computer Science. This includes teaching PhD courses and supervising several PhD students.
Ongoing Research Projects:
- Neutron and gamma-ray imaging with quasi-monolithic organic detector arrays – a novel, holistic approach to range verification in particle therapy (NOVO)