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Welcome to Computer Science 7 (Computer Networks and Communication Systems)

The lab deals with protocols and architectures of networked systems and with their analysis and evaluation. To this end, we apply various methods of modeling, simulation, measurement and test and also develop own toolsets. Furthermore, two specific fields of application are investigated so that our research activities can be subdivided into three areas:

  • Quality-of-Service: Performance evaluation and investigation of new protocols to ensure the quality of service in (safety-critical) networks
  • Connected Mobility: Modeling and simulation of vehicular networks and connected mobility, used technologies and novel mobility concepts
  • Smart Energy: Analysis and simulation of smart, networked energy systems based on renewable energies and electric mobility

The teaching curriculum covers fundamental courses such as “Computer Communication” and “Simulation and Modeling” as well as advanced courses such as “Advanced Networking” and specialized topics of both application areas, e.g. “Vehicular Networks” or “Smart Grids and Electric Mobility”.


Analysis of the Electric Vehicle Charging Behavior using Machine Learning   It has been known for many years that internal combustion engines are a major contributor to climate change. Global warming, together with the increase in green- house gases, is therefore increasingly demonstr...

In the context of the specialist program “Neue Fahrzeug- und Systemtechnologien” [New Vehicle and System Technologies] of the Federal Ministry for Economic Affairs and Energy, the project MBPLE4Mobility, short for "Model-based Product Line Engineering", started on July 1, 2021. As part of a large co...

Our former research assistant Jonas Schlund has recently completed his PhD with success. He presented his dissertation titled "Electric Vehicle Charging Flexibility for Ancillary Services in the German Electrical Power System" last Thursday and passed the defense with distinction. After finishing th...

The Smart Energy group was represented by two PhD students at this year's virtual Energieinformatik 2021 in Freiburg. Felix Heinrich was represented at the main conference with his presentation "A comprehensive study on Battery Electric Modeling Approaches based on Machine Learning". Niklas Ebell wa...