System Quality Aspects

Current systems are not designed for exploiting, integrating and leveraging novel digitalization trends, tools, and methods such as Machine Learning, Artificial Intelligence, Big Data Analytics or Cloud/Edge Computing. The focus area “System Aspects” address research and development that is required in order to migrate current systems towards intelligent systems that leverage the full potential of Cloud/Edge Computing, AI and Analytics pipelines. Further research is needed to ensure that system quality aspects such as security, performance, and reliability are taken into account when designing and migrating systems.

Technical experts

Migration, Transformation, and Integration of ML-based systems

Sebastian Herold, Senior lecturer, Karlstad University

• Research profile

Cybersecurity in Industrial Automation and Control Systems (IACS)

Stefan Lindskog, Professor, Karlstad University

• Research profile

Leonardo Martucci, Senior lecturer, Karlstad University

• Research profile