So far I had the pleasure of supervising (or being involved as a co-supervisor in) over 50 student projects of various content and different kinds. It is with great pleasure that I support students to follow their passion, and acquire new knowledge. In some cases a company was involved in the project which provides the students with valuable insights into the industry.

If you are considering me as a supervisor, you can find a list of project suggestions and completed supervised projects below for inspiration.

Open Projects

You can find some interesting keywords for project ideas here:

Machine Learning in Mental Health applications
Face Generation and Deep Fakes
Fake Image Detection
Human Motion
3D reconstruction
Image Generation and Classification

(I will add more elaborate descriptions at a later point.) Feel free to contact me with project suggestions. Be mindful that this should be rather earlier than later, because I have a limited capacity of supervisions I am agreeing to at a time. This is a concious decision to ensure the best support for your project, too.

Finalized and Ongoing Projects

In the following I will provide a list of finalized student projects which I supervised at ITU and LUH. The year indicates the year when it was officially finalized, i.e. the time of examination. If not stated otherwise the project was conducted by one student, otherwise you will find the number of students involved in the group project at the end of the line. The different abbreviations are referring to the following types

MSc : Master thesis
RP : Research Project
BSc : Bachelor thesis

Ongoing student projects - working titles

2024, MSc, Classification of gym machines
2024, MSc, 3D reconstruction of badminton matches, 2 students
2024, MSc, Domain-aware embeddings for anomaly detection
2024, MSc, Estimation of geo-location from images, 2 students
2024, MSc, Customer behaviour analysis
2024, BSc, Audio Analysis, 3 students
2024, MSc, Synthesis of realistic 3D facial animation from audio

Finalized student projects at ITU

Note: Companies involved in the projects are intentionally not mentioned. Your name will only appear if you explicitly agreed to it. If you would like your name listed next to your project, please let me know message me.

2024, MSc, Unmasking the Diffusion: Detecting Synthetic Images Generated by Text-To-Image Diffusion Models, Malthe Asbjørn Nørgaard
2024, RP, Fit-Ai, 3 students
2024, RP, Semi-supervised classification of engine parts, 2 students
2024, RP, Developing a Worldwide Dataset for Image Geolocation, 2 students
2024, MSc, Enhancing Visual Inspection with Synthetic Data Generation: A Deep Learning Approach for Realistic and Diverse Image Synthesis
2023, MSc, Image Editing with Denoising Diffusion Models and Gradient Guidance
2023, MSc, Evaluating Convolutional Neural Network Classification Performance in Building Components from Architectural Drawings
2023, RP, Detecting Art Portraits Generated by Stable Diffusion, 2 students
2023, BSc, Machine Learning on Yoga
2023, BSc, Navigating Indoors with Computer Vision: Exploring Deep Learning Approaches for Room-Level Indoor Localisation, Jonas-Mika Senghaas
2023, RP, Vision-based Hit Detection in Badminton, 3 students
2023, MSc, Robust Detection of Stable Diffusion Generated Images, 2 students
2023, RP, Performance comparison of anomaly detection models on systematically altered images
2023, BSc, Evaluating deepfake technology, 2 students
2023, RP, Physiological Measurements from Face Videos
2023, RP, Localized Editing of Synthetic Images using Denoising Diffusion Implicit Models and Semantic Image Segmentation
2023, RP, Exploring the Impact of Textual Inversion and CLIP Guidance on Image Generation using Stable Diffusion
2023, RP, Detection of Stable Diffusion Generated Images, 2 students
2023, RP, Diffusion Models for Synthetic Data Generation
2022, MSc, Assessing the Severity of Bipolar Disorder using Neural Networks, 2 students
2022, MSc, Towards a quantitative study approach in analysing typography as a semiotic mode, 3 students
2022, BSc, Vision-based human motion analysis in gymnastics, 3 students
2022, RP, 3D reconstruction based on architectural floorplans
2022, RP, Assessing Bipolar Disorder using Machine Learning, 2 students
2022, BSc, Facial expression transfer with machine learning, 2 students
2022, MSc, Multimodal Variational Autoencoder for Metabolite Identification
2021, MSc, Face characteristic similarity in regards to cosmetics, 2 students
2021, BSc, Analysis of images of cylinders, 2 students
2021, MSc, Augmenting Humanoid Animations Using Recurrent Neural Networks
2021, BSc, Screen position estimation based on images of hands, 2 students
2021, RP, Medical Image Classification (Covid-19)
2021, BSc, Face Analysis with Deep Learning
2021, RP, Generative Model of Human Body Motion for Walking
2021, RP, Hair Care Recommendation System, 2 students
2020, BSc, Medical Image Segmentation
2020, MSc, Exploring the latent space of StyleGAN for semantic face editing and expression transfer
2020, MSc, Analysis, alignment and classification of body motion data, 2 students
2020, RP, Synthesis of Face Images Using Generative Algorithms
2020, RP, Analysis, alignment and classification of body motion data, 2 students

Finalized student projects at Leibniz Universität Hannover (LUH)

Note: some works were originally written in German. I am adding the English title for convenience, and provide the original German title.

2019, MSc, Automatic Face Analysis from Videos
2019, BSc, 3D model of human motion (3D Modell menschlicher Bewegungen)
2018, Studienarbeit, monocular model-based 3D face reconstruction employing edge information (Monokulare Modellbasierte 3D Gesichtsrekonstruktion unter Verwendung von Kanteninformationen)
2018, Studienarbeit, Estimation of corresponding 3D faces from 3D face scans (Schätzung korrespondierender 3D Gesichter aus 3D Scans)
2017, BSc, Estimation of high-resolution correspondences for 3D scans of faces (Schätzung hochaufgelöster Korrespondenzen für 3D Scans von Gesichtern)
2017, MSc, Increasing the Spatial Resolution of 3D Surfaces Using Images
2017, MSc, Alignment of 3D-Sequences of Facial Expressions
2015, MSc, Correspondence Estimation of 3D Facial Point Sets
2013, BSc, Influence of Modelmatrix Choices in Statistical Models for Face Representation (Einfuss der Modellmatrix in statistischen Modellen zur Repräsentation von Gesichtern)
2013, BSc, Comparison of frame interpolation techniques for mouth sequences