Student Projects

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

If you are interested in pursuing a PhD under my supervision, please check my research interests under Projects, and publications, before contacting me. For Master, Bachelor and Research Projects, please see below.

It is with great pleasure that I support students to follow their passion, and acquire new knowledge.

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 am sharing some general advise on written work. 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.)

In general company can be involved in your project it this is of mutual benefit. If you are considering this, be mindful that this might come with strings attached for you, specifically an NDA. However it can also be a way to hel with future employment at this company.

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 applications focussing on mental health, mental disorders, and health applications
  • Generative AI: Diffusion Models, GANs, etc.
  • Deep Fake Detection: focussing on visual domain
  • Human Motion Analysis, e.g. by Vision Transformers
  • 3D reconstruction
  • Image Generation and Classification

More details:

  • Estimation of semantically meaningful latent directions. You can help us improve this repo. Currently, the semantic directions are not part of the repository due to copyright reasons. Let’s replace it with information from a public database!

Feel free to contact me with project suggestions. Be mindful that I have a limited capacity of supervisions I am agreeing to at a time, therefore please reach out early. You can consider a joint supervision, which gives the opportunity to combine the knowledge of different people.

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

Currently, I am supervising several projects focussing on applications of machine learning in the mental health domain, and other computer vision topics. Note that the project titles are preliminary, and might change in the final submission.

  • Semantic Directions in Diffusion Models
  • Fingerprinting scans

Finalized student projects at ITU

This is a list of projects I supervised or co-supervised since I started working at ITU 2019. Note: This collection is work in progress. As of now:

  • Year, kind and title are displayed, names in progress. (Why? I did not ask most of my former students yet.)
  • Names will only appear if explicitly agreed. Message me if you would like your name added or removed from this page.
  • If not stated otherwise, the project has been completed by one student.
  • Co-supervisions with colleagues happen(ed), and is not always mentioned (yet).
  • Companies involved in the projects are intentionally not mentioned (yet).

Finalized projects

  1. 2025, MSc, Infant Facial Expression Recognition: Effects of Training Data and Visual Perturbations, 2 students
  2. 2025, MSc, From Reproduction to Evaluation: A Language-Only Approach to Depression Detection Using Supervised Machine Learning
  3. 2025, MSc, Enhancing Language-Guided Visual Attention with Probabilistic Encoders, 2 students, with external collaborators
  4. 2025, MSc, Edge AI for Industry: Real-Time Object Detection with Vision-Language Models, 3 students
  5. 2025, MSc, Transformer-Based Sequence Modelling for Incident Reconstruction and Triaging in SOC Environments, 3 students, with Carsten Schürmann
  6. 2025, RP, Investigating Gender-Specific Facial Movements in Depression: An Exploratory Analysis, Courtney Rae Marshall
  7. 2025, MSc, When Sharing Breaks Detection: The Role of Image Compression in Fake Image Classification Reliability
  8. 2025, MSc, DeepFake Audio Classification using Vision Transformers, 2 students
  9. 2025, RP, Evaluating Temporal Alignment in Music-to-Video Generative AI, with Leo Vitasovic
  10. 2025, BSc, Affect Recognition on Infants, Florentina Fabregas Alippi and Raivis Lickrastins, with Martin Lund Trinhammer
  11. 2025, RP, Is AEC software fixed by Speckle, if so, to what extend?, 2 students, with Harshit
  12. 2025, RP, Mental Health Analysis using Machine Learning - Review of Multimodal Machine Learning Methods for Predicting DSM-5 Mental Disorders: A Systematic Analysis
  13. 2025, RP, Does GAN-based Upscaling Outperform other Techniques in Matching Human Perception, 2 students
  14. 2025, RP, Evaluation of Image Classifiers - Generalization and Robustness Against Alterations
  15. 2025, RP, Testing a Deepfake Detector: Adversarial Robustness and Generation Method Variability, 2 students
  16. 2025, RP, Beyond Real or Fake: Differentiating Diffusion Models Using Image Fingerprints and CNNs, 3 students
  17. 2025, RP, Detecting AI Generated Speech, 2 students
  18. 2024, MSc, Classification of gym machines
  19. 2024, MSc, Synthesis of realistic 3D facial animation from audio
  20. 2024, MSc, Reconstructing 3D Tennis Ball Trajectories from Monocular Video, 2 students, with Magnus Ibh
  21. 2024, MSc, From Customers to Donors: Transferring Marketing Analytics to the Non-profit Sector
  22. 2024, MSc, Predicting GeoGuessr Locations Using Transformer Models, 2 students
  23. 2024, MSc, Domain-aware embeddings for anomaly detection
  24. 2024, BSc, Event Detection with Fiber Optic Acoustic Sensing, 3 students
  25. 2024, MSc, Unmasking the Diffusion: Detecting Synthetic Images Generated by Text-To-Image Diffusion Models, Malthe Asbjørn Nørgaard
  26. 2024, RP, Fit-Ai, 3 students
  27. 2024, RP, Semi-supervised classification of engine parts, 2 students
  28. 2024, RP, Developing a Worldwide Dataset for Image Geolocation, 2 students
  29. 2024, MSc, Enhancing Visual Inspection with Synthetic Data Generation: A Deep Learning Approach for Realistic and Diverse Image Synthesis
  30. 2023, MSc, Image Editing with Denoising Diffusion Models and Gradient Guidance
  31. 2023, MSc, Evaluating Convolutional Neural Network Classification Performance in Building Components from Architectural Drawings
  32. 2023, RP, Detecting Art Portraits Generated by Stable Diffusion, 2 students
  33. 2023, BSc, Machine Learning on Yoga
  34. 2023, BSc, Navigating Indoors with Computer Vision: Exploring Deep Learning Approaches for Room-Level Indoor Localisation, Jonas-Mika Senghaas
  35. 2023, RP, Vision-based Hit Detection in Badminton, 3 students
  36. 2023, MSc, Robust Detection of Stable Diffusion Generated Images, 2 students, with Alessandro Bruni
  37. 2023, RP, Performance comparison of anomaly detection models on systematically altered images
  38. 2023, BSc, Evaluating deepfake technology, 2 students, with Carsten Schürmann
  39. 2023, RP, Physiological Measurements from Face Videos
  40. 2023, RP, Localized Editing of Synthetic Images using Denoising Diffusion Implicit Models and Semantic Image Segmentation
  41. 2023, RP, Exploring the Impact of Textual Inversion and CLIP Guidance on Image Generation using Stable Diffusion
  42. 2023, RP, Detection of Stable Diffusion Generated Images, 2 students
  43. 2023, RP, Diffusion Models for Synthetic Data Generation
  44. 2022, MSc, Assessing the Severity of Bipolar Disorder using Neural Networks, 2 students
  45. 2022, MSc, Towards a quantitative study approach in analysing typography as a semiotic mode, 3 students
  46. 2022, BSc, Vision-based human motion analysis in gymnastics, 3 students
  47. 2022, RP, 3D reconstruction based on architectural floorplans
  48. 2022, RP, Assessing Bipolar Disorder using Machine Learning, 2 students
  49. 2022, BSc, Facial expression transfer with machine learning, 2 students
  50. 2022, MSc, Multimodal Variational Autoencoder for Metabolite Identification, with external collaborators
  51. 2021, MSc, Face characteristic similarity in regards to cosmetics, 2 students
  52. 2021, BSc, Analysis of images of cylinders, 2 students
  53. 2021, MSc, Augmenting Humanoid Animations Using Recurrent Neural Networks
  54. 2021, BSc, Screen position estimation based on images of hands, 2 students
  55. 2021, RP, Medical Image Classification (Covid-19)
  56. 2021, BSc, Face Analysis with Deep Learning
  57. 2021, RP, Generative Model of Human Body Motion for Walking
  58. 2021, RP, Hair Care Recommendation System, 2 students
  59. 2020, BSc, Medical Image Segmentation
  60. 2020, MSc, Exploring the latent space of StyleGAN for semantic face editing and expression transfer
  61. 2020, MSc, Analysis, alignment and classification of body motion data, 2 students
  62. 2020, RP, Synthesis of Face Images Using Generative Algorithms
  63. 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. In that case I am adding the English title for convenience.

  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