Research
Research Groups


For interested researchers, there might be open positions, and for students there is a list of topic suggestions.
PhD Supervision
- Alessandro Ariis, with main supervisor Oliver Krancher & Novo Nordisk, AI Automation in Pharmaceutical Manufacturing Processes, ITU, Denmark
- Bertram Højer, with co-supervisor Anna Rogers, Seemingly Intelligent Representation Learning & Large Language Models, ITU, Denmark
- Finn Rietz, with main supervisor Johannes A. Stork, Hierarchical Deep Reinforcement Learning, Örebro University, Sweden
- Laurits Dixen, with main supervisor Paolo Burelli, Modelling Temporal Dynamics of Neural Responses, ITU, Denmark
Grants
My research is and was funded with grants by: Pioneer Centre for AI & ITU (Denmark), JSPS Kakenhi International Research B (Japan), JST AIP & IRCN (Japan), DAAD International Fellow (Germany), DFG Transregio SFB/TRR 169 (Germany).
Key Collaborations
- Paolo Burelli, Computational User Models & Applied Machine Learning, ITU, Denmark
- Anna Rogers, Understanding Large Language Models, ITU, Denmark
- Tatsuya Daikoku, Computational Neuroscience & Statistical Learning, University of Tokyo, Japan
- Christoph Korn, Decision Neuroscience & Computational Modelling, Heidelberg University, Germany
- Jes Frellsen, Statistical Machine Learning & Bayesian Modelling, DTU Copenhagen, Denmark
- Barbara Plank, Natural Language Processing & Low-ressource Learning, LMU Munich, Germany
- Veronika Cheplygina, Machine Learning & Meta Learning, ITU, Denmark
- Monica Barbir, Developmental Psychology & Language Acquisition, CNRS & Aix Marseille Université, France
- Chien-Te Wu, Cognitive Neuroscience & Consciousness, IRCN/Uni of Tokyo, Japan
Completed Post-graduate Supervision
PhD Thesis (3)
- Mahya Mohammadi Kashani 2025 (co-supervision with Andrzej Wąsowski), Statistical Assessment of Plans via Probabilistic Optimization of Reliability, ITU, Denmark
- Tobias Hinz 2021 (co-supervision with Stefan Wermter), Disentanglement, Compositionality, Specification: Representation Learning with Generative Adversarial Networks, Universität Hamburg, Germany
- Tayfun Alpay 2021 (co-supervision with Stefan Wermter) Periodicity, Surprisal, Attention: Skip Conditions for Recurrent Neural Networks, Universität Hamburg, Germany