This page lists theses and CAPs that have already been completed at the Chair of Health Informatics. The topics presented here are no longer available and are provided for reference purposes only.
We do not regularly publish current open topics online. If you are interested in writing a thesis or completing a CAP at our chair, please refer to our information page on current opportunities.
Master's Thesis
| Thesis | Supervisor |
|---|---|
| Building a Digital Health Development Ecosystem for Native Mobile Applications | Manuel Milling & Dr. Paul Schmiedmayer (Stanford University) |
| Development of a Language Model for the German Medical Domain | Manuel Milling & Raphael Scheible (TUM) |
| Speech emotion recognition in low-resource setting | Jiadong Wang |
| Exploring Dynamics of Human-to-Human Collaboration During Industrial Joint Task Execution Using Augmented Reality | Anika Spiesberger & Sławomir Tadeja (University of Cambridge) |
Bachelor's Thesis
| Thesis | Supervisor |
|---|---|
| A Platform for Evaluating Large Language Models for Personalized Medical Consultations | Manuel Milling & Dr. Paul Schmiedmayer (Stanford University) |
| Deep Learning for the Classification of COPD States Using Cough Sounds | Andreas Triantafyllopoulos |
| Interpretable Deep Learning for Dysarthria Detection from Speech | Manuel Milling |
| Decoding Music Perception: EEG-Based Genre Classification | Simon Pistrosch |
| Pioneering Speech Emotion Recognition on STREs with Deep Learning | Simon Pistrosch |
| Bird Classification from Audio Using Deep Learning | Alexander Gebhard |
| Automatic Non-Invasive ALS Assessment Exploiting Tongue Movements and Paralinguistics with Deep Learning | Adrià Mallol-Ragolta |
| Automatic Negative Thoughts Detection using Contrastive Learning | Adrià Mallol-Ragolta |
| Enhancing Wearable Human Activity Recognition through Smartphone and Smartwatch Sensor Fusion | Manuel Milling & Patrick Langer (ETH Zürich) |
KAP Projects
| Topic | Supervisor |
|---|---|
| Investigating Respiratory Sounds with Machine and Deep Learning | Manuel Milling |
| Exploring EEG signals for ADHD Recognition using Machine and Deep Learning | Manuel Milling |
| Exploring Deep Learning Methodologies for Depression Detection | Manuel Milling |
| Cancer Type Classification Using RNA-Sequencing Gene Expression Data | Alexander Gebhard |
| Automatic Detection of Patients with Amyotrophic Lateral Sclerosis (ALS) Exploiting Respiratory Sounds with Deep Learning Techniques | Adrià Mallol-Ragolta |
| Automatic Detection of Infant Vocalisations from In-the-wild Audio Recordings | Adrià Mallol-Ragolta |
| Deep Learning for the Classification of COPD Vowel Sounds | Andreas Triantafyllopoulos |
| Applying Deep Learning Architectures for Emotion Recognition in EEG-Data | Simon Pistrosch |
| Investigating Convolutional Neural Networks for Brain Tumor Recognition from MRI Images | Manuel Milling |
| Deep Learning for the Detection of Cognitive Decline | Monica Gonzalez Machorro |
| Influence of Child ADHD on Parent-Child-Interaction | Anika Spiesberger |
| Machine Learning for Heart Murmur Detection from Phonocardiogram Recordings | Alexander Gebhard |
| Predicting Neurological Recovery from Coma after Cardiac Arrest using EEG and Machine Learning | Alexander Gebhard |