Theses

If you are currently looking for a project for your bachelor's or master's thesis, please don't hesitate to contact us. IME offers a range of different topics in electrical engineering, control theory, signal processing and mathematical modelling and optimization, often with applications in biomedical engineering.

For students unsure about the field in which they want to engage their research skills, please note that we are searching students of many different sets abilities. Among them, you might find yourself, if you are inclined towards at least one of the following aspects:

  • Solving practical real-world problems with rich and powerful theoretical tools
  • Theoretical mathematical work for advancing the state-of-the-art and understanding
  • Exciting novel approaches and performing scientific studies for their validation

Accordingly, we are searching for students from all sorts of fields:

  • Mathematics
  • Computer Science and Medical Computer Science
  • Medical Engineering and Robotics

Theses projects currently offered include, but are strictly not limited to, the following topics ordered by areas of research:

Surface Electromyography

Resilient Control Systems

Mathematical Modelling of Physiological Systems

Advanced Control for Physiological Assistance

Fault Detection at DESY

  • Fault Detection for the RF stations of the European XFEL (English, German)

Autonomous Systems

We offer a variety of topics on advanced control and machine learning for autonomous systems. Some examples are listed below. The goal is to develop innovative algorithms and to build cool stuff.

Topics can be adjusted in scope and difficulty level (Bachelors thesis, Masters thesis, projects, ...). If you have your own idea for a project on autonomous systems, this can also be discussed.

Unmanned Ground Vehicles

Unmanned Aerial Systems

Data-Driven and Learning-Based Control

Mobile Robots Modeling and Control 

Practical Model Predictive Control for Nonlinear Systems 

  • Anticipative Model Predictive Control based on Linear Parameter Varying Models