Distributed and multimedia systems
Information and communication technology form an integral part of everyday life. Ubiquity has increasinglybecome a key characteristic of information processing systems, and the resulting new challenges, for instance increasingly complex systems, and the handling of large quantities of data (including multimedia data), have to be met. For this reason, aspects of quality, architectures, data models, visualisation and security of distributed and multimedia systems have been gaining importance in both IT research and in application. The convergence of media and networking technology is expected to increase further, and consequently, a comprehensive, system-oriented view with an interdisciplinary orientation will become even more important. Aspects of human-machine interaction and media perception will be particularly relevant in this context.
The Faculty will meet all these challenges in its key research area of distributed and multimedia systems. On the one hand, technology-oriented questions are studied, for instance the Internet of the future, service-oriented systems, cloud computing, cooperative systems, long-term data storage, entertainment and digital library systems; on the other hand, there are great research opportunities in the application of these systems and their economic effects.
Algorithms, software and computing technologies
The modelling, analysing, visualising, simulating and optimising of complex processes, data structures and dynamic data streams that occur in nature, science and technology, as well as industrial processes, continually require new technologies. In order to develop and apply those technologies, the Faculty’s key research area of algorithms, software and computing technologies focuses on basic algorithm and software technologies in computer science, as well as in the areas where computer science overlaps with other university-based research activities in the areas of computational science and data science. The corresponding research focuses on the following mutually complementary subareas:
There is a focus on programming principles for various computer architectures, including parallel computers and super computers, as well as heterogeneous distributed systems and cloud infrastructures. In the area of methodology and algorithms, the development and adaptation of new algorithmic structures in both numerical and combinatorial areas are of key relevance. As far as the processing of complex data structures and dynamic data streams in bioinformatics, business informatics and (social) science are concerned, new methods in the area of data integration, data mining and machine learning, as well as visual data analysis and humancentred design are of particular interest.
Special fields of application of this key research area include, in particular, the processing of very large data quantities, simulation and computer-aided verification of hardware and software, as well as manifold Internet applications.
Knowledge-based process management
In the context of a comprehensive approach to engineering, this key research area is characterised by the concepts of knowledge and processes. Here the term ‘knowledge’ refers to the semantic aspects of information processing, while the concept of ‘processes’ represents the formalisation and structured division of tasks. The focus of this area is on plan ning and controlling processes in business and administrative contexts, as well as on optimisation with regard to targets such as cost, time, compliance and governance.
In this context, innovative approaches to semantic systems of information, particularly metadata and ontologies (knowledge engineering) play an important role, as do process technologies that aim to ensure smooth automated work flows, especially with regard to composing and orchestrating software components in service-oriented or event-driven architectures. Research in business intelligence uses aspects of learning processes, coordination, cooperation and communication for knowledge-based process management.
Specific fields of application of this key research area are the advancement of strategies and technologies of meta-modelling in order to realise computer-aided modelling methods, ensure adequate support of users by process-oriented systems of information, the development of flexible cloudbased process technologies, as well as the advancement, implementation and research of design patterns for human-centred, technology-enhanced learning.