We conduct our research in four distinct foci, and follow an inter- and multidisciplinary, comprehensive approach.
- Four research foci in 22 research units.
- 90 professors, including visiting.
- 291 scientific staff, including part time and visiting.
- 18500+ publications, theses, and talks.
- 830+ funded projects and grants.
- 240+ awards and accolades.
Our research currently focuses on the following four areas:
Computer Engineering is based on an integral approach combining informatics, communications technology and microelectronics. The primary area of research is embedded systems, which are an essential part of many objects in our everyday life.
Topics: Digital Circuits and Hardware Architectures / Parallel and Distributed, Dependable, Real-time Systems / Hybrid Systems and Optimal Control / Quantitative and Runtime Verification / Computational Modeling and Simulation / Autonomous Systems, Robotics and Automation Systems Integration / Cyber-physical Social Systems & Internet of Things.
Over the last few decades, computers have been increasingly used for tasks that were once thought the sole preserve of human intelligence. Scientists have developed ways of formally representing knowledge and using “intelligent” methods to solve problems with the aid of computers. This field is generally described as computational intelligence.
Topics: Algorithms and Complexity / Computational Logic and Deduction / Constraints and Satisfiability / Problem Solving and Optimization / Foundations of Databases and Artificial Intelligence / Knowledge Representation and Reasoning Methods / Semantic Systems and the Web / Formal Methods for Security and Privacy / Verification and Safety of Computer Systems / Natural Computing and Formal Languages.
Visual Computing and Human-Centered Technology investigates the design and development of key technologies in the areas of computer vision, computer graphics, visualization, augmented/mixed/virtual reality, and human-computer interaction.
Topics: Computer Graphics / Computer Vision and Pattern Recognition / Visualization and Visual Analytics / Virtual, Augmented, and Mixed Reality / Media Analysis and Retrieval / Human-computer Interaction, Design and Socially Embedded Computing / Assistive Technologies and Ubiquitous Computing.
Information Systems Engineering provides foundational and advanced techniques, algorithms, design and engineering approaches to model complete lifecycles of data-intensive and distributed information systems.
Topics: Compilers, Languages, and Middleware Engineering / Programming Systems and Tools / Distributed Systems / High Performance Computing / Data Analytics and Machine Learning / Business Informatics / E-commerce / Informatics Didactics.