On June 23, 2026, Oussama Raslan successfully defended his Bachelor’s thesis titled „Analyse zur Verfügbarkeit von biometrischen Ausweisdokumenten im Internet“
Kategorie: Theses
All completed thesis
Frederik Ubbesen successfully defended his master thesis
On July 6, 2026, Frederik Ubbesen successfully defended his Master’s thesis titled „Secure Multimodal Biometric Verification Using IoM Hashing and
Javad Rzayev successfully defended his Master Thesis
Javad Rzayev successfully defended his Master Thesis „Deep Learning-based Face Image Quality Assessment“ Abstract Getting into phones, crossing borders, checking
Jin Zhuotong successfully defended his Master thesis
Jin Zhuotong successfully defended his Master’s thesis titled „IdentityPreserving Iris Image Generation Using Generative Methods.“ This is a joint effort
Qingwen Zeng successfully defended his Master thesis
Qingwen Zeng successfully defended his Master’s thesis titled „Presentation Attack Detection on ID Documents Using Multimodal Model.“ This is a joint
Paul Andreas successfully defended his Master’s thesis
Paul Andreas successfully defended his Master’s thesis on „Assessing Lossy Image Compression for Face Recognition“ as part of the TeleTrusT
Lukás Pleva successfully defended his Masters thesis
On February 13, 2026, Lukás Pleva successfully defended his MSc thesis entitled „Evaluation of multi-modal biometric authentication in multi-party computation“.
Valentina Fohr successfully defended her Masters thesis
On January 22, 2026, Valentina Fohr successfully defended her MSc thesis entitled „Security and Performance Evaluation of Biometric Fusion in
Maximilian Russo successfully defended his Bachelor thesis
On September 24, 2025, Maximilian Russo successfully defended his BSc thesis entitled „Multi-Instanz-Ansatz zur Dimensionalitätsreduktion DNN-extrahierter Fingerabdrucksmerkmale“. Abstract: Ongoing digitalization
Hans Heje successfully defended his Master thesis
On June 30, 2025, Hans Heje successfully defended his MSc thesis entitled „Vision Language Models for Presentation Attack Detection„. Abstract: