Student Work

We offer students the opportunity to actively participate on interesting and cutting edge research topics and concrete research projects by conducting their thesis in our group.

We offer topics for your Bachelor's Thesis and Master's Thesis to successfully complete your studies with a scientific work. We offer students of the Department of Electrical and Computer Engineering to supervise your Forschungspraxis (research internship /industrial internship) and Ingenieurpraxis directly at our chair. For students with other specializations, such as Informatics, we offer opportunities to supervise your Interdisciplinary Project (IDP) (German: "Interdisziplinäres Projekt (IDP)"). Please contact us directly for more information.

Open Thesis



Fast What-if Analysis for Network Verification with Machine Learning


Network Functions Placement into P4 Devices


Offloading 5G Network Functions into P4 Programmable Dataplanes


Student Assistant for the Wireless Sensor Networks Lab SS20


Development of NCSbench


Integration of PRRT in NCSbench


FlexGraph: Flexibility Study of Network Topologies


Machine-Learning based fault diagnosis in flexible optical networks


Development, Analysis and Maintenance of an SDN / TSN Prototype


Measuring the reconfiguration of the realistic VNFs


Working student for innovative Podcasts for BCN lecture


Tree Splitting with K-Multi Packet Reception


Working student for managing 5G testbed


Implementation and comparison of two Routing and Spectrum Assignment solutions for flexible optical core networks

Ongoing Thesis

Bachelor's Theses

Weighted Overlapping Networks

Traffic classification using graphattention neural networks

Runtime Analysis of the MPLS Network Verification Tool AalWiNes

Multi-cell RAN control coordination

Slicing the Cache


Anpassungs eines HArdware in the Loop Simulationsbaus

Learning IP Addresses based on Graph Structure

Implementation and Evaluation of A Nested Approach for Dynamic VM Placement, Routing, and Migration

Reinforcement Algorithm for Airplane to DC assignement in Space-Air-Ground Integrated Networks

Sensor to Cloud Solution via a Gateway

Untersuchung zur rückwärtskompatiblen Datenratensteigerung für proprietäre Brandmeldebustechnik

Master's Theses

Deliberate Load-Imbalancing in Data Center Networks

Industrial Low-power Wireless Environment Monitoring with Machine Learning

Modeling of NetFPGA Programmed with P4

Scheduler Agnostic Slice Manager with Deep Reinforcement Learning

5G-RAN control plane modeling and Core network evaluation

Efficient Distributed Consistent Network Update with P4

Joint Uplink and Downlink RAN Network Slicing

Implementation of Scheduling and Slicing Algorithms in OpenAirInterface

Reliable Wireless access technology selection and Load balancing in Heterogeneous LiFi-RF networks

Design and Evaluation of a Distributed Optimization framework for SFC Scaling

Optimal Placement of SDN Controllers and Hypervisors in Virtualized Networks

Multi-channel Tree Resolution Prototype in TDMA for 5G networks

Analysis and optimization of multi-interface mobile networks

Practical implementation of a NCS testbed and evaluation of different sampling & flow management policies

Research Internship (Forschungspraxis)

FlexGraph: Flexibility Study of Network Topologies on Controller Placement

Experimental Setup of WiFi Lte coexistence

Performance Evaluation of P4 programmable Devices

Benchmarking and Evaluation of P4Runtime


Visualization of IP Communication Using Chord Diagram and Force-directed Graph

Einbibdung eines Sensors in eine Embededed Plattform

Design and Evaluation of Reliability-Aware VM Placement and Routing for Airplanes

Student Assistant Jobs

Student Assistant for the Internetkommunikation Lecture in SS20

Implementation of Energy-Aware Algorithms for Service Function Chain Placement

Student Assistant for the Wireless Sensor Networks Lab WS19/20

Student Assistant for the Wireless Sensor Networks Lab SS19

Working student for the SDN lab

Working Student Position for Network Measurements and Implementations

Working Student Position Machine Learning and Artificial Intelligence