-
resilient systems. To this end, we ground on well-established theories, methods, and practices and investigate how to enhance them by leveraging new technologies (e.g., IoT, digital twins, big data) and
-
-based ones is an important approach to move towards a sustainable bio-economy. However, the performance of bio-based polymers needs to be improved in order to meet industrial requirements. This position
-
learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
-
focused on power electronics and smart electrification. The project focuses on supporting and collaborating with small and medium-sized enterprises. An important part is to build and evaluate test systems
-
enterprises. An important part is to build and evaluate test systems together with companies, adapted to the companies' operations. The project is funded by the ERDF (European Regional Development Fund), Kalmar