Student Projects

A growing collection of student projects - completed, ongoing, and suggestions.

So far I had the pleasure of supervising (or being involved as a co-supervisor in) over 50 student projects of various different kinds. It is with great pleasure that I support students to follow their passion, and acquire new knowledge. In some projects a company was involved which lead to mutual beneficial outcomes, as the student can profit, as well as the company. If you are considering this, be mindful that this might come with strings attached, i.e. an NDA. In the past projects it has also yield to the students being hired at the same company after the project.

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

How to do a great project - general advise

With best intentions I wanted to share some general advise on written work. You might find this input very valuable independent of me being your supervisor or not. I created a github repository, currently hosted on itu github. Please be mindful that you might not be able to access it if you are not from ITU. (I might provide the content elsewhere upon demand.)

My Project Proposals

Consider the following an incomplete list of my research interests. Some interesting keywords for your project include but are not limited to:

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

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. I am also open and experienced in joint supervision, which gives the opportunity to combine the knowledge of people from different fields.

Projects elsewhere

You also might want to look elsewhere at ITU. You can find interesting student projects in the following groups here:

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

Currently Ongoing student projects

Note that the following project titles are preliminary, and might change in the final submission.

  • 2024, MSc, Classification of gym machines
  • 2024, MSc, Synthesis of realistic 3D facial animation from audio

Finalized student projects at ITU

This is a list of projects I supervised or co-supervised since I started working at ITU 2019.


  • If not stated otherwise, it is a project of one person.
  • Your name will only appear if you explicitly agreed to it, and you can always ask to have it removed.
  • Companies involved in the projects are intentionally not mentioned.
  • If you would like your name listed next to your project, please message me.

Finalized projects:

  1. 2024, MSc, Reconstructing 3D Tennis Ball Trajectories from Monocular Video, 2 students
  2. 2024, MSc, From Customers to Donors: Transferring Marketing Analytics to the Non-profit Sector
  3. 2024, MSc, Predicting GeoGuessr Locations Using Transformer Models, 2 students
  4. 2024, MSc, Domain-aware embeddings for anomaly detection
  5. 2024, BSc, Event Detection with Fiber Optic Acoustic Sensing, 3 students
  6. 2024, MSc, Unmasking the Diffusion: Detecting Synthetic Images Generated by Text-To-Image Diffusion Models, Malthe Asbjørn Nørgaard
  7. 2024, RP, Fit-Ai, 3 students
  8. 2024, RP, Semi-supervised classification of engine parts, 2 students
  9. 2024, RP, Developing a Worldwide Dataset for Image Geolocation, 2 students
  10. 2024, MSc, Enhancing Visual Inspection with Synthetic Data Generation: A Deep Learning Approach for Realistic and Diverse Image Synthesis
  11. 2023, MSc, Image Editing with Denoising Diffusion Models and Gradient Guidance
  12. 2023, MSc, Evaluating Convolutional Neural Network Classification Performance in Building Components from Architectural Drawings
  13. 2023, RP, Detecting Art Portraits Generated by Stable Diffusion, 2 students
  14. 2023, BSc, Machine Learning on Yoga
  15. 2023, BSc, Navigating Indoors with Computer Vision: Exploring Deep Learning Approaches for Room-Level Indoor Localisation, Jonas-Mika Senghaas
  16. 2023, RP, Vision-based Hit Detection in Badminton, 3 students
  17. 2023, MSc, Robust Detection of Stable Diffusion Generated Images, 2 students
  18. 2023, RP, Performance comparison of anomaly detection models on systematically altered images
  19. 2023, BSc, Evaluating deepfake technology, 2 students
  20. 2023, RP, Physiological Measurements from Face Videos
  21. 2023, RP, Localized Editing of Synthetic Images using Denoising Diffusion Implicit Models and Semantic Image Segmentation
  22. 2023, RP, Exploring the Impact of Textual Inversion and CLIP Guidance on Image Generation using Stable Diffusion
  23. 2023, RP, Detection of Stable Diffusion Generated Images, 2 students
  24. 2023, RP, Diffusion Models for Synthetic Data Generation
  25. 2022, MSc, Assessing the Severity of Bipolar Disorder using Neural Networks, 2 students
  26. 2022, MSc, Towards a quantitative study approach in analysing typography as a semiotic mode, 3 students
  27. 2022, BSc, Vision-based human motion analysis in gymnastics, 3 students
  28. 2022, RP, 3D reconstruction based on architectural floorplans
  29. 2022, RP, Assessing Bipolar Disorder using Machine Learning, 2 students
  30. 2022, BSc, Facial expression transfer with machine learning, 2 students
  31. 2022, MSc, Multimodal Variational Autoencoder for Metabolite Identification
  32. 2021, MSc, Face characteristic similarity in regards to cosmetics, 2 students
  33. 2021, BSc, Analysis of images of cylinders, 2 students
  34. 2021, MSc, Augmenting Humanoid Animations Using Recurrent Neural Networks
  35. 2021, BSc, Screen position estimation based on images of hands, 2 students
  36. 2021, RP, Medical Image Classification (Covid-19)
  37. 2021, BSc, Face Analysis with Deep Learning
  38. 2021, RP, Generative Model of Human Body Motion for Walking
  39. 2021, RP, Hair Care Recommendation System, 2 students
  40. 2020, BSc, Medical Image Segmentation
  41. 2020, MSc, Exploring the latent space of StyleGAN for semantic face editing and expression transfer
  42. 2020, MSc, Analysis, alignment and classification of body motion data, 2 students
  43. 2020, RP, Synthesis of Face Images Using Generative Algorithms
  44. 2020, RP, Analysis, alignment and classification of body motion data, 2 students

before 2019 - Finalized student projects at Leibniz Universität Hannover (LUH)

List of projects which I supervised before 2019. Note: some works were originally written in German. I am adding the English title for convenience, additionally to the original German title.

  1. 2019, MSc, Automatic Face Analysis from Videos
  2. 2019, BSc, 3D model of human motion (3D Modell menschlicher Bewegungen)
  3. 2018, Studienarbeit, monocular model-based 3D face reconstruction employing edge information (Monokulare Modellbasierte 3D Gesichtsrekonstruktion unter Verwendung von Kanteninformationen)
  4. 2018, Studienarbeit, Estimation of corresponding 3D faces from 3D face scans (Schätzung korrespondierender 3D Gesichter aus 3D Scans)
  5. 2017, BSc, Estimation of high-resolution correspondences for 3D scans of faces (Schätzung hochaufgelöster Korrespondenzen für 3D Scans von Gesichtern)
  6. 2017, MSc, Increasing the Spatial Resolution of 3D Surfaces Using Images
  7. 2017, MSc, Alignment of 3D-Sequences of Facial Expressions
  8. 2015, MSc, Correspondence Estimation of 3D Facial Point Sets
  9. 2013, BSc, Influence of Modelmatrix Choices in Statistical Models for Face Representation (Einfuss der Modellmatrix in statistischen Modellen zur Repräsentation von Gesichtern)
  10. 2013, BSc, Comparison of frame interpolation techniques for mouth sequences