Research at the Department of Informatics has three core areas:
- Human-Centered Computing (HCC) focuses on the retrieval and utilization of knowledge in natural and technical systems, the design of adaptive, self-learning systems and the design of human-computer interaction.
- Complex Systems Engineering (CSE) focuses on the development of large software applications and infrastructures. Mastery of complexity and the secure operation are important features.
- Computing in Science (CIS) combines the activities of the department in such areas as high performance computing, machine learning, bioinformatics, and big data.
In these core areas, the following three research priorities have been established in recent years:
- Cognitive Systems: In this research area, multisensory cognition, learning and interaction in humans is investigated and realized in technical cognitive systems, such as autonomous systems, robotic or speech assistance systems.
- Information Governance Technologies: This research area addresses the fact that in the digital society more and more data is collected and processed, which increasingly influence decisions in business, politics and society. In this research area, human-centered technical methods for a responsible handling of data are to be developed and evaluated.
- Data Science: In this research area, methods for the information processing of “big data” are to be developed for which conventional methods of information processing do not work because the data is too large, too complex, too fast-moving and too weakly structured.