Networked and autonomous systems
We work on future mobile communication networks, resource-conserving and reliable sensor and camera networks, autonomous mini drone systems as well as user-centric, quality-optimised multimedia systems in this area, one of the University’s key research strengths. These developments can be applied to smart grids and medical technology, as well as the telecommunications, internet and robotics sector.
Modeling, analysis, optimization
Complex optimisation problems are of immense importance in all areas of the technical sciences. In order to support decision-making, modern mathematical methods of modelling and system analysis have therefore become necessary. This involves discrete, continuous and stochastic aspects – often in combined form. The key to analysing and ultimately solving such problems lies in crossing the boundaries of individual mathematical disciplines and harnessing the resulting innovative potential.
Multimedia systems
Specific areas of research include: adaptive video streaming; multimedia in future internet architectures; compression, storage, interactive searching and content analysis in relation to medical images and videos (e.g. of operations), and user behaviour in interactive multimedia information systems and video games. Application-oriented research in particular has produced noteworthy results, such as the spin-off of a successful company (BITMOVIN), a long-term, productive collaboration with a major medical technology company (KARL STORZ) and the continued use of open-source software systems (such as LIRE for multimedia information retrieval).
Engineering of software, data and knowledge-based systems
Within this area of research, we study theories, methods, processes and technologies that enable software- and knowledge-based systems to be developed and maintained more efficiently and sustainably. We are also working to improve the use and transparency of such systems, in order to enhance their design for users and make the systems’ decisions easier to track. This field not only includes pure research, but also covers a range of cooperation projects with industry and public organisations that put our results to the test in live situations.
Education in informatics and mathematics
The research we conduct in the field of education in informatics and mathematics focuses on the understanding and learning of mathematical and informatics-oriented thinking, as well as on different teaching methods, with the objective of applying this knowledge in order to improve teaching.
Current research topics in mathematics teaching include the interplay between mathematical education concepts and education policies (e.g. standards and school leaving examinations), reflective mathematics teaching and the role of language and symbols in teaching and learning mathematics.
The main research areas in informatics teaching currently include best practices in the field of informatics-oriented thinking (with and without the aid of computers), the analysis of skills models, the use of maturity models in informatics teaching, gender aspects and the use of new technologies and teaching methods in informatics teaching.
For a full list of all research projects and publications of the Faculty of Technical Sciences, please refer to the Research Information System of the AAU.
