| Student |
Thesis |
Content |
| Zaciragic, T. (Tarik) | Bluffing Tendencies in Leduc Hold’em | |
| Asghari, S. (Sana) | Generating Synthetic Liver Tumor CT scans for Medical AI Applications | |
| Ayerdem, C. (Cem) | Application of Governance on Third-Party Identities | |
| Bagan, N. (Nataliia) | Optimizing Agentic Retrieval-Augmented Generation using Reinforcement Learning-Based Methods | |
| Bichev, I. (Ivan) | Benchmarking Automata Learning | |
| Bujna, A. (Adam) | Automated Segmentation of Amyloid Fibres from Electron Micrographs | |
| Cremer, A. (Alexander) | Deepseek vs OpenAI - A Comparison of GRPO and PPO in Reinforcement Learning Environments | |
| Dziuzaite, P. (Patricija) | Extracting ADRs from Oncology Texts: Comparing Language Models and Traditional Machine Learning Approaches | |
| Elbrecht, E. (Erki) | Video Steganography with Deep Neural Networks | |
| Frentz, S.M. (Sander) | Evaluating the Impact of Prompting Techniques on the Logical Consistency of LLMs | |
| Houwen, M.I. van der (Mathilde) | Physiological Correlates of Human-Robot Dictator Game Behavior | |
| Ionescu, T. (Teodor-Calin) | Topic Modelling Applied to Storytelling Data for Better Patient Care | |
| Iqbal, K. (Keith) | Optimizing Deep Reinforcement Learning Architectures for Pacman: A Comparative Study of Manual Design and Evolutionary Algorithms | |
| Kataria, A. (Arman) | Liquid Neural Networks vs RNNs: A Deep Learning Approach to Time Series Forecasting | |
| Kendic, F.S. (Ferid) | Exploring Reinforcement Learning in the Financial World | |
| Kennon, E. (Ella) | Comparing the Performance of the Walsh and Multilinear Basis with Regression Surrogate Models for Pseudo-Boolean Optimization | |
| Kleinwort, L. (Luis) | Improving the Computational Efficiency of Handwritten Mathematical Expression Recognition | |
| Lans, J.C.W. (Joris) | The ‘Magic Word’ for LLMs: A Study on the Effect of Politeness on LLM Performance | |
| Leenen, J.P. (Jort) | Practical Equivalence Checking of P4 Packet Parsers | |
| Lens, P. (Pepijn) | Threshold-Tunable U-Net for Small Target Detection in Maritime Radar: An Alternative to CFAR | |
| Lo, F.J.A. (Fong Jing Ashley) | What’s the Point of Diffusion Planning in Offline Reinforcement Learning? | |
| Lytovka, M. (Maksym) | Beyond Coarse-Grained Matching in Video-Text Retrieval | |
| Motz, L. (Luuk) | Modeling Social Creativity with Large-Scale Multi-Agent Systems and Emergent Properties of Collective Creative Processes | |
| Mushmush, R. (Riham) | A Study on the Effects of Speech Performance of a NAO Robot on Information Recall | |
| Nastas, A. (Alexandra) | Reducing Gender Bias in a Dutch Language Model through Counterfactual Data Substitution | |
| Nieland, J. (Jesse) | The Possibilities of Applying Machine Learning to a Limited Esports Dataset | |
| Oomen, G. (Guus) | Enhancing Medical Dialogue Systems: Fine-Tuning Large Language Models for More Accurate Diagnoses | |
| Opdam, K. (Kenji) | Finding and Visualising Patterns and Knowledge Gaps in the Field of AutoML for Earth Observation | |
| Pomp, L. (Lisa) | The Influence of Personalised Feedback on Coding Education for Children through the Use of an Educational Game | |
| Pronk, L.A. (Levi Ari) | Unveiling the Roof: Anomaly Detection in Train Pantographs | |
| Radojevic, S. (Steffan) | Evaluating the Effectiveness of Multi-Striding on the Raspberry Pi 5 and Banana Pi F3 | |
| Raven, J. (Jip) | Completeness and Decidability of (Guarded) Kleene Algebra (with Tests) under the Hypothesis e = 0 | |
| Salim, D.K. (Dania Kadah) | How does the DeepSeek-R1 model understand emotions? | |
| Salman, A. (Avan) | Application of Knowledge Transfer in Reinforcement Learning | |
| Sanz Lozano, R. (Rebeca) | Assessing Bias in Machine Learning Models for Alzheimer’s Disease Detection Across Gender and Age | |
| Scheerder, A. (Alexander) | Large Language Model as model in Model-Based Reinforcement Learning | |
| Smeyers, C. (Catherine) | Analysis and Visualization of AI-generated Amigurumi Crochet Patterns | |
| Veen, J.H. van (Rick) | RL in a Dynamic Environment | |
| Wu, N.C. (Nicholas Chi-Hung) | Multi-Objective Maintenance Optimization | |
