Students
PhD students I supervise or co-supervise, and selected MSc theses.
Current PhD students
- Frederik Marinus Trudslev
Privacy-preserving synthetic data generation for medical data.
- Luca Fabbian
Developing in-database algorithms for federated learning and federated analytics.
- Antheas Kapenekakis
Privacy-preserving synthetic data generation for medical data.
PhD co-supervised (completed)
- Romana Pernisch
Mind the change, bridge the gap: investigating the impact of ontology evolution on materialisations and embeddings
Ontology evolution, materialisations, and embeddings.
- Muhammad Saad
Computing the 2D-DFT of Spatially Sparse Grids
Stream processing, discrete fourier transform
- Matthias Baumgartner
How to Compare Apples to Oranges: Integrating Heterogeneous Data Sources with Representation Learning
Integrating heterogeneous data sources with representation learning.
MSc thesis supervision
A selection MSc theses I supervised. Links point to the official repository record or thesis page.
- Oliver Holmgaard and Anders Malta Jakobsen
Zero-Knowledge Shuffle Improvement in Ethereum Single Secret Leader Election
- Lasse Ryge Andersen, Mikkel Hagerup Dolmer and Marius Ihlen Gardshodn
Trusting Gut Instincts: Transformer-Based Extraction of Structured Data from Gut-Brain Axis Publications: A Model Ensembling and Weighted Training Approach for GutBrainIE
- Claes Berg Mortensen, Lasse Mølgaard Andersen and Victor Doré Hansen
Schema Guided Abstention Mechanism for NL2SQL
- Frederik Marinus Trudslev and Silas Oliver Torup Bachmann
Bayesian Estimation of Attribute Disclosure Risk of PrivBayes
- Ivik Lau Dalgas Hostrup, Christian Bager Bach Houmann and Patrick Frostholm Østergaard
LASERGAME: Leveraging Advanced Spectroscopy and Ensemble Regression for Geochemical Analysis and Model Evaluation
- Fatemeh Shad Bakhsh
Enriching Clinical Sample Analysis With Pathway Knowledge Graphs and GNNs
- Íñigo Sanz Ilundain
Autoencoder techniques for survival analysis on renal cell carcinoma
- Nikolai Eriksen Kure and Magni Jógvansson Hansen
Autoencoders for Signature Extraction: Systematically evaluating Pre- and Post-Processing
- Kristian Otte and Kristian Vestmark
MATQA: Microservice-based Architecture for Temporal Question Answering on Knowledge Graph Embeddings
- Terezia Buckova
Supervised and Unsupervised Alignment of Knowledge Graphs with pre-trained embeddings
- Fabio Codiglioni
VERNE : a vertex-centric SP ARQL engine
- Jérôme Oesch
Benchmarking Incremental Reasoner Systems
- Romana Pernisch
Impact of Changes on Operations over Knowledge Graphs
- Benedikt Bleyer
Exploring Context-aware Stream Processing