Welcome to our Theses Project Topics page! Here you will find a list of intriguing and challenging topics suitable for Bachelor, Master, and Medical Doctorate theses. We are dedicated to supporting your academic journey by providing opportunities for in-depth research and discovery. Each topic listed can be adapted to the specific requirements of Bachelor, Master, or Medical Doctorate theses, ensuring relevance and suitability for your academic level. Bachelor and Master thesis topics are tailored for the Computer Science program, while doctoral topics are for medical students. For doctoral thesis topics in the Mathematics and Natural Sciences faculty, please reach out to Prof. Krüger to discuss further. If you are interested in any of the topics listed or have any questions, please reach out to the contact person listed or Prof. Krüger for guidance and information.
At the end of the page you can have a look at thesis topics that are already taken, so that you may get an impression of the work of our group.
Open Thesis Topics
Bluetooth Low Energy (BLE) Fuzzer (B.Sc. or M.Sc. Computer Science)
Hannah Greß (start of thesis: immediately)
In a world of more and more interconnected devices recording, storing and transmitting (sensitive) data, it is inevitable to validate the security of devices we use on a regular basis. Therefore, the aim of a Bachelor thesis is to study already existing BLE Fuzzer, test them for completeliness and usability and optionally extend an existing one.
Distance Measurement in Bluetooth Low Energy (B.Sc. or M.Sc. Computer Science)
Hannah Greß (start of thesis: immediately)
In a recent project, two of three possible methods for measuring distances in Bluetooth Low Energy (BLE) and their accuracy were compared. In this thesis, the last method, Angle of Arrival (AoA)/Angle of Departure (AoD) should be evaluated. This comprises implementation and possibly improving of algorithms for AoA/AoD on a nRF54L15 DK, designing and conducting measurement cases to evaluate their accuracy.
EpiEye / EOG (Dr. med.)
Prof. Krüger (start of thesis: immediately)
We want to investigate whether eye movement can be tracked well with the help of EEG-electrodes close to the eyes (Electrooculography). For this study we are recording eye movement with eye-tracking glasses (PupilLabs Neon) to obtain a ground truth.
Experimental setup and Matlab (Psychtoolbox) code for conducting the study are already complete and are supported by members of Prof. Krüger’s group.
The doctoral candidate first has to conduct the study with patients in the Department of Epileptology (each eligible patient will take part in the study on up to five conscutive days). In the second phase of the thesis the data is analyzed (employing machine learning techniques). Some programming experience, e.g. in Python, is helpful, but can also be obtained during the thesis.
EEG Cable Quality Assurance (B.Sc. or M.Sc. Physics or Computer Science)
Dr. Johannes Müllers (start of thesis: immediately)
Cables for clinical EEG are under high mechanical and chemical stress due to the application and cleaning procedures. If cables break unnoticed the signal quality can be degraded or signals are missing completely. Current procedures of testing and repairing cables are tedious and prone to error.
The goal of this thesis is to build a cable testing device that not only simply tests conductance, but allows for example frequency sweeps.
Skills/interests required for this thesis are: PCB design, µC, Python/C
Vital Parameter Measurement with Radar (B.Sc. or M.Sc. Physics or Computer Science)
Dr. Johannes Müllers (start of thesis: immediately)
Several modules and development kits are commercially available that promise aqcuisition of breathing rate and even heart beat. This technology is promising for use in hospitals or home care. Within this thesis, a number of modules shall be evaluated to distinguish between promising solutions and vaporware. A joint collaboration with FHR Wachtberg is possible.
Previous Thesis Topics (not available anymore; click to expand)
End-to-end Encryption (E2EE) in Bluetooth Low Energy (BLE) (B.Sc. or M.Sc. Computer Science)
Hannah Greß (start of thesis: immediately)
In a world of more and more interconnected devices recording, storing and transmitting (sensitive) data, it is inevitable to validate the security of devices we use on a regular basis. Therefore, the aim of a Bachelor or Master thesis is to implement different algorithms to encrypt the messages transmitted from the BLE device via an app to as server and to measure the emerging overhead compared to normal message transmission to test the feasability of the algorithms and therefore E2EE.
Motion Analysis of Epilepsy Patients (M.Sc. Computer Science)
Dr. Johannes Müllers together with Federico Spurio (AG Jürgen Gall) (start of thesis: earliest 1.3.25)
Patients in the Department of Epileptology are video-monitored 24/7 with the goal to capture epileptic seizures. Currently there is one camera perspective, and videos are annotated and analyzed manually.
We are preparing a new setup with three RGB cameras, allowing us to capture patient movements with less chance for occlusion.
The goal of the thesis is to obtain a skeletal model with fusion of all camera perspectives. Analysis of the joint angles, classification of abnormal movements and the dynamics of the seizure shall be made available to aid clinicians in the classification of the seizure.
At the start of the thesis, existing videos (one perspective) can be analyzed while the camera and recording setup are completed.
Contactless Acquisition of Vital Parameters (M.Sc. Computer Science or Physics)
Dr. Johannes Müllers (start of thesis: earliest 1.3.25)
Patients in the Department of Epileptology are video-monitored 24/7 with the goal to capture epileptic seizures. This video monitoring will be complemented with a depth camera and a thermal camera. In combination, it is possible to track vital parameters such as breathing rate, heart rate, and skin temperature.
The goal of this thesis is firstly to select and set up the cameras and take care of data acquisition (recording on NAS). Secondly, a feature extraction pipeline has to be programmed, so that vital parameters can be extracted from the video streams. Last, a dashboard for visualization of the parameters should be created.
Setup of Backend/Frontend to visualize Wearable Data for Medical Studies (B.Sc. or M.Sc. Computer Science)
Dr. Johannes Müllers (start of thesis: immediately)
In an upcoming medical study, patients will be equipped with wearable sensors that transmit their data to servers of the University Clinic Bonn. Within this thesis, the following tasks shall be completed in preparation for the study:
– Backend (setup of database and acuwave on a virtual machine)
– Frontend (setup of authentification and web access to dashboard)
– Mobile phone app for data acquisition (programming of a new app, or integration into existing app from the clinic)
We are going to use MWTek’s AcuWave dashboard for visualization.
High standards of data protection have to be applied across the project.
The content of the thesis can be adjusted depending on the type of thesis.
Expansion of a Blood Sample Database (B.Sc. or M.Sc. Computer Science)
Hannah Greß (start of thesis: immediately)
In a previous bachelor’s thesis, an Excel spreadsheet used for blood sample management and analysis of epilepsy patients was converted into a user-friendly database. In a second bachelor’s thesis, the database is now to be connected to the hospital’s own LLM in order to enable analyses beyond the existing search function.
EMG Studies (M.Sc. Neuroscience)
Dr. Johannes Müllers (start of thesis: immediately)
We want to investigate generalizability of hand gesture recognition with a wearable EMG System. The goal is to train a classifier for various hand gestures, and consider feasibility of ictal hand pose recognition.
User-Centered Redesign of Video-EEG Workflows in the Epilepsy Ward (M.Sc. Computer Science)
Dr. Johannes Müllers (start of thesis: immediately)
This thesis focuses on the redesign of clinical monitoring tools in the epilepsy ward. You will analyze current workflows and evaluate how clinicians interact with today’s proprietary video-EEG system. Building on user studies, the project explores how novel data streams – multi-view video, contactless vital signs, 3D-pose estimation, and action classification – can be integrated into an optimized dashboard concept. A prototype demonstrating key features may be developed. The goal is to provide design guidelines that inform both future clinical interfaces and the clinic’s upcoming vendor transition.