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

• Analysis of the EMG-Pdi Relationship of the Human Diaphragm
• Gaussian Processes in Biomedical Signal Processing
• Signal processing to investigate the effects of respiratory maneuvers using surface electromyogram (sEMG)

Resilient Control Systems

• Advanced and Distributed Control for Small Scale Quadrocopters
• Message Passing Approaches to Estimation and Control

Mathematical Modelling of Physiological Systems

• Mathematical modelling of the acid-base balance in the context of ventilation
• Mathematical modelling of haemodynamics in the context of ventilation
• Mathematical modeling of ionic currents of the heart

Advanced Control for Physiological Assistance

• Nonlinear Control of an Anesthesia Device

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

• Deep Reinforcement Learning for trajectory drifting
• Drift Parking using Reinforcement Learning
• Sensor fusion for vehicle sideslip angle estmation
• Learning vehicle dynamics using Neural Networks
• Model Predictive Control (MPC) for Motion Planning of an Autonomous Mobile Robot
• Online learning of system dynamics and parameters
• Interaction-aware Control for Autonomous Driving
• Autonomous driving and obstacle avoidance

Unmanned Aerial Systems

• Deep Reinforcement Learning for drone control
• Programming of Autonomous Drone Flights
• Bayesian Optimization for the Iterative Positioning of an Aerial 5G Relay
• Continuous Informative Path Planning with a drone-based measuremen unit
• Autonomous Hunter Drone for Counter-UAV Applications
• Drone-to-Drone Detection using onboard Radar
• Drone-to-Drone Detection using Microphones
• Online-Data-enabled Predictive Control
• MPC Formulation for Obstacle Avoidance in UAV

Data-Driven and Learning-Based Control

• Gaussian Process based MPC of Drones in Critical Missions
• Data-Driven Predictive Control with Regularization  
• MPC Based on Latent Force Models
• Anticipative Model Predictive Control using Gaussian Process
• Learning MPC control policies using neural networks

Mobile Robots Modeling and Control 

• Balancing and Tracking Control of a Ballbot
• Balancing Control and Path Planning of a Ballbot
• MPC and Path Planning  of a Ballbot

Practical Model Predictive Control for Nonlinear Systems 

• Anticipative Model Predictive Control based on Linear Parameter Varying Models