Theses

This list of theses, sorted in reverse chronological order, provides just a brief glimpse into some of the research topics that we are interested in. Read on if you are interested in joining us.

2025

• Ege Erdogan: Geometric Flow Models over Neural Network Weights, M.Sc. thesis
• Yevhenii Sharapov: Topological NeRF: 3D Reconstruction with NeRFs Reinforced with TDA, M.Sc. thesis
• Milad Bassil: Improving Topologically-Regularized Multiple Instance Learning on Single Cell Images

2024

• Pia Baronetzky: Topological Data Analysis on Multimodal Brain Data, M.Sc. thesis
• Jonathan Clancy: Topological Kernels for Gaussian Processes, M.Sc. thesis
• Katharina Hagedorn: Machine Learning for Direct Antimicrobial Resistance Prediction from Clinical MALDI-TOF Spectra, B.Sc. thesis
• Rishendra Chauhan, Distributed Persistence Based Dimensionality Reduction Method: DIPOLE, M.Sc. thesis

2023

• Franz Srambical, Graph Filtration Surfaces: A Multi-Scale Approach to Dynamic Graph Representation, B.Sc. thesis
• Niklas Kiermeyer, Explainable Comparative Analysis of Modern Survival Models and Patient Similarity Networks: A Case Study for Cancer Patients, M.Sc. thesis
• Barış Onarıcı, Neural Approximations to Gromov-Hausdorff Distances, M.Sc. thesis
• Kalyan Varma Nadimpalli: Weighted Euler Characteristic Transform based Topological Loss for Reconstructing 3D Images from Single 2D Slices, M.Sc. thesis