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
My Project Proposals
- Projects elsewhere
Finalized and Ongoing Projects

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, in particular facial expressions and body motion
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
Underwater Vision Applications

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 focussing on applications of machine learning in the mental health domain. Ongoing projects deal with:

challenges of underwater scene synthesis (3d reconstruction, Gaussian Splatting)
explainability and interpretable ML
latent space

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 everyone for consent.)
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).
The order of the names is alphabetical and has no furhter meaning

Finalized projects

2026, BSc, Markerless Pose Estimation for Physical Rehabilitation: A Comparative Evaluation of MediaPipe, MMPose, and OpenPose, Lisa Claudi Hauge and Olivia Brophy
2026, RP, Investigating Vulnerabilities in Deepfake Detectors, Alexander Rode and Jakob Arnfred Nielsen
2026, RP, Towards Sparse-View 3D Gaussian Splatting under Estimated Geometry, Katalin Literati-Dobos
2026, RP, Evaluating 3D Gaussian Splatting for Underwater 3D Reconstruction in Degraded Visual Conditions, Markus Kildebæk Raun Johansen, supervised together with Olaya Álvarez-Tuñón
2026, BSc, Speaking or Listening? The Effect of Conversational Role in Visual Depression Classification Using DAIC-WOZ, Cornelius Tobias Møller Nielsen, Pietro Rebecchi and Szonja Uley
2026, RP, Prediction of next Action after Corner Kick in Soccer
2026, MSc, Gender-Informed Transformers for Depression Detection from Facial Action Units and Landmarks, 2 students
2026, RP, Inspecting the latent space geometry of alignment methods
2026, RP, Corner Kick Prediction: A Dataset Survey and Baseline Experiments with Public Data
2026, RP, Finding Anemo: Comparing Classifier Performance on Image Embeddings of Marine Species in Danish waters
2026, RP, Explainable Artificial Intelligence in Computer Vision - Evaluating the Transferability of LeGrad
2026, RP, Editing Facial Action Units through Diffusion Model Latent Spaces, 2 students
2025, MSc, Semantic directions in diffusion models
2025, MSc, Feature Extraction on Blank Paper - A Comparative Study
2025, MSc, Infant Facial Expression Recognition: Effects of Training Data and Visual Perturbations, 2 students
2025, MSc, From Reproduction to Evaluation: A Language-Only Approach to Depression Detection Using Supervised Machine Learning
2025, MSc, Enhancing Language-Guided Visual Attention with Probabilistic Encoders, 2 students, with external collaborators
2025, MSc, Edge AI for Industry: Real-Time Object Detection with Vision-Language Models, 3 students
2025, MSc, Transformer-Based Sequence Modelling for Incident Reconstruction and Triaging in SOC Environments, 3 students, with Carsten Schürmann
2025, RP, Investigating Gender-Specific Facial Movements in Depression: An Exploratory Analysis, Courtney Rae Marshall
2025, MSc, When Sharing Breaks Detection: The Role of Image Compression in Fake Image Classification Reliability
2025, MSc, DeepFake Audio Classification using Vision Transformers, 2 students
2025, RP, Evaluating Temporal Alignment in Music-to-Video Generative AI, with Leo Vitasovic
2025, BSc, Affect Recognition on Infants, Florentina Fabregas Alippi and Raivis Lickrastins, with Martin Lund Trinhammer
2025, RP, Is AEC software fixed by Speckle, if so, to what extend?, 2 students, with Harshit
2025, RP, Mental Health Analysis using Machine Learning - Review of Multimodal Machine Learning Methods for Predicting DSM-5 Mental Disorders: A Systematic Analysis
2025, RP, Does GAN-based Upscaling Outperform other Techniques in Matching Human Perception, 2 students
2025, RP, Evaluation of Image Classifiers - Generalization and Robustness Against Alterations
2025, RP, Testing a Deepfake Detector: Adversarial Robustness and Generation Method Variability, 2 students
2025, RP, Beyond Real or Fake: Differentiating Diffusion Models Using Image Fingerprints and CNNs, 3 students
2025, RP, Detecting AI Generated Speech, 2 students
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, with Magnus Ibh
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, with Alessandro Bruni
2023, RP, Performance comparison of anomaly detection models on systematically altered images
2023, BSc, Evaluating deepfake technology, 2 students, with Carsten Schürmann
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, with external collaborators
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