Dipl.-Ing. Fabian Kaup

Phone: +49 (0) 6151 16 20895
Location: S3|19, room 8

Fabian Kaup is a Ph.D. student at the Department of Electrical Engineering and Information Technology of the Technische Universität Darmstadt since March 2013. He holds a diploma degree in electrical engineering from TU Darmstadt, where he majored in communication technology and signal processing. His diploma thesis examines the energy efficiency and throughput of smartphones in wireless ad-hoc networks and develops power models from these measurements. These power models are incorporated in the P2P overlay simulator PeerfactSim.KOM, where they build the basis for energy efficient mobile P2P overlays.

Research Interests

My research interests are the energy efficiency and the quality of experience (QoE) of smartphones. This includes the energy measurement of the devices, modeling the power consumption in different device states as well as the development of power reducing management schemes like intelligent pre-fetching of content and offloading.

My research breaks down into three main areas, which are

  • Energy measurement and modeling
  • Network optimization

Based on these, the QoE for smartphone users is to be optimized.

Selected Publications

Student Theses

I am currently offering theses in the areas

  • Energy efficiency
  • Mobile traffic management
  • Cellular network profiling

The theses are mainly focused on determining the cellular network quality, and improving mobile data access for smartphone users. Depending on the focus of your work, a different weight can be put on these core areas. Theses are possible either as a Bachelor or Master thesis.

The energy efficiency  is an increasingly important area on mobile phones, where a lot of optimizations are already implemented, but even more are still possible. Our focus lies in the optimization of traffic patterns using intelligent, possibly social-enhanced pre-fetching as well as offloading using WiFi networks.

For all theses we provide comprehensive support and the necessary equipment. For the smartphone-based topics we provide a recent smartphone, for the more energy focused works, also the measuring equipment is available as well as a fully equipped lab.

All theses incorporate a significant portion of programming, hence you should be proficient in Java or C/C++ development. Analytical and modeling skills are also advantageous. Furthermore, it would be helpful to be familiar with Git and Latex.

Possible topics are:

If you have own ideas in the mentioned areas, you are welcome to discuss them with me. If you are looking for other topics, have a look at our list of theses.


Prof. Dr. David Hausheer

Technische Universität Darmstadt

Peer-to-Peer Systems Engineering

Building S3/19, Room 3

Rundeturmstr. 12

64283 Darmstadt

+49 6151 16-20890 (direct)

+49 6151 16-29100 (assistant)

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