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The Distributed Systems Chair performs teaching and research in parallel computing, peer to peer computing, mobile and cloud computing and real-time location-based big data problems, distributed and pervasive systems and autonomous driving.

Distributed Systems Chair connects the following subgroups:

The main research subjects include knowledge extraction from location-based data, computations for parallel solution of large sparse systems of linear equations, automatic parallelization of numerically intensive codes, Mobile and IoT systems, distributed and pervasive systems and ways for developing autonomous driving technology.