I had the pleasure of supervising over 50 student projects of various kinds as main, or co-supervisor. 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. 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 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.)

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 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 (deep) fake detection, and applications of machine learning in the mental health domain.

2024, RP, Fake Image Detection
2024, RP, Fake Speech detection
2024, RP, Automatic Depression Detection

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

Finalized student projects at ITU

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

Note:

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.
Message me if you would like your name added or removed from the project.

Finalized projects:

2024, MSc, Classification of gym machines
2024, MSc, Synthesis of realistic 3D facial animation from audio
2024, MSc, Reconstructing 3D Tennis Ball Trajectories from Monocular Video, 2 students
2024, MSc, From Customers to Donors: Transferring Marketing Analytics to the Non-profit Sector
2024, MSc, Predicting GeoGuessr Locations Using Transformer Models, 2 students
2024, MSc, Domain-aware embeddings for anomaly detection
2024, BSc, Event Detection with Fiber Optic Acoustic Sensing, 3 students
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

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.

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