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 PhD topics are for medical students. For PhD 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.
Open Thesis Topics
Expansion of a Blood Sample Database (B.Sc. or M.Sc. Computer Science)
Hannah Greß
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.
Security of Bluetooth Low Energy Devices (B.Sc. or M.Sc. Computer Science)
Hannah Greß
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 a security assessment of a Bluetooth Low Energy (BLE) device which can include (optional, not mandatory!) the reverse engineering of the messages exchanged between the BLE device and the smartphone.
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.
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.