| Year |
Student |
Thesis | Supervisors | Programme | Content |
|---|
| 2025‑2026 | Spek, A.M. van der (Anna Michelle) | LLaMEA for Clustering Problems | Stein van, dr. N., Bäck, prof.dr. T.H.W. | DSAI | |
| 2025‑2026 | Mestani, A. (Andrei) | Computer Based Generation of Optimal Body Structures | Stein van, dr. N., Bäck, prof.dr. T.H.W. | CS | |
| 2025‑2026 | Miltiadous, M. (Myriana) | Leveraging Autonomous Train Operation Cameras for Rail Track Monitorin... | Stein van, dr. N., Raponi, dr. E. | CS | |
| 2025‑2026 | Simonides, K. (Koen) | Prompting Strategies for Mutation and Crossover Operators in LLM Based... | Stein van, dr. N., Kononova, dr. A.V. | Inf | |
| 2024‑2025 | Li, X. (Xu) | Reinforcement Learning for Training Small LLMs by Distillation | Plaat, prof.dr. A., Stein van, dr. N. | DSAI | |
| 2024‑2025 | Wu, N.C. (Nicholas Chi-Hung) | Multi-Objective Maintenance Optimization | Dr. F. Ye, Stein van, dr. N. | DSAI | |
| 2024‑2025 | Kalnare, M. (Matiss) | Adaptation of Mechanistic Interpretability Methods to Time Series Tran... | Stein van, dr. N., S. Kitharidis | DSAI | |
| 2025 | Long, F.X. (Fu Xing) | Optimizing Solvers for Real-World Expensive Black-Box Optimization wit... | Bäck, prof.dr. T.H.W., prof.dr. M. Gitterle, Stein van, dr. N. | PhD | |
| 2024‑2025 | Aalst, B. van (Bas) | Automatic Nutrient Deficiency Symptom Detection in Vertical Farming | Pelt, dr. D.M., Stein van, dr. N. | CS | |
| 2024‑2025 | Chen, X. (Xi) | Is Chain-of-Thought Faithfully Reasoning in Large Language Models? | Plaat, prof.dr. A., Stein van, dr. N. | CS | |
| 2024‑2025 | Hermanus, P. (Per) | Portfolio Selection in Adaptive Operator Selection for Differential Ev... | Kononova, dr. A.V., Stein van, dr. N. | CS | |
| 2024‑2025 | Pourghasem, H. (Hedieh) | Generating Natural Language Explanations for Deep Time Series Classifi... | Verberne, prof.dr. S., Stein van, dr. N. | CS | |
| 2024‑2025 | Westra, J. (Jelle) | Investigating the Interplay of Parameterization and Optimizer in Gradi... | Raponi, dr. E., Stein van, dr. N. | CS | |
| 2024‑2025 | Xing, P. (Peiwen) | Multi-agent Symbolic Music Composition System Based on Large Language ... | Plaat, prof.dr. A., Stein van, dr. N. | CS | |
| 2024‑2025 | Georghiou, C. (Constantinos) | Optimising Robotic Warehouse Floorplans with Evolutionary Algorithms | Stein van, dr. N., Raponi, dr. E. | CS | |
| 2024‑2025 | Zacharia, K. (Katherina) | Optimizing Office Lighting In Terms Of Energy and Uniformity Based on ... | Stein van, dr. N., Kononova, dr. A.V. | CS | |
| 2024 | Winter, R. (Roy) de | Efficient Constraint Multi-Objective Optimization with Applications in... | Bäck, prof.dr. T.H.W., Stein van, dr. N. | PhD | |
| 2023‑2024 | Bliek, S. van der (Sophie) | Assessing the Interpretability of Word-Based Authorship Verification M... | Verberne, prof.dr. S., Stein van, dr. N. | CS | |
| 2023‑2024 | Knol, R. (Romme) | Sequential Model-Based Optimisation using Symbolic Regression | Bäck, prof.dr. T.H.W., Stein van, dr. N. | CS | |
| 2023‑2024 | Ponse, K. (Koen) | The XAI-Economist: Explainable Reinforcement Learning in RL-Assisted P... | Moerland, dr. T., Stein van, dr. N. | CS | |
| 2023‑2024 | Shahane, A.A. (Ananta Anil) | A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehi... | Fan, dr. Y., Stein van, dr. N. | CS | |
| 2023‑2024 | Voogt, M.A. (Mick) | Reducing Evaluation Time for a Multiobjective Energy System Sizing Pro... | Bäck, prof.dr. T.H.W., Stein van, dr. N., T. Rodemann | CS | |
| 2023‑2024 | Wang, W. (Weiji) | Forecasting Stone Loss Percentage on Dutch Highways with Machine Learn... | Cao, dr. L., Stein van, dr. N., G.A. Leegwater | CS | |
| 2023‑2024 | Xia, T. (Tian) | Near-term Forecasting for Changes in the Demand for AI Skills in Jobs:... | Weeren van, drs. N., Stein van, dr. N. | CS | |
| 2023‑2024 | Zhang, Y. (Yuchi) | The Relationship between Compensation and Work Duration | Weeren van, drs. N., Stein van, dr. N. | CS | |
| 2023‑2024 | Zwart, M. van der (Michael) | R2N-Tab: a hybrid model for binary tabular data | Leeuwen van, prof.dr. M., Stein van, dr. N. | CS | |
| 2023‑2024 | Al-Nassar, S. (Suzan) | ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric Vehicle R... | Stein van, dr. N., Fan, dr. Y. | CS | |
| 2023‑2024 | Kogia, V. (Vasiliki) | f-AnoGAN with Transformers and Vector Quantisation for Unsupervised An... | Stein van, dr. N., Kononova, dr. A.V., A. Zeiser | CS | |
| 2023‑2024 | Schaap, A. (Anthonie) | Towards Fairness in Machine Learning: Balancing Racially Imbalanced Da... | Stein van, dr. N., Lew, prof.dr. M.S.K. | CS | |
| 2023‑2024 | Steffens, B. (Benjamin) | Generating Art using Genetic Programming | Stein van, dr. N., Kononova, dr. A.V., Vermetten | CS | |
| 2023‑2024 | Sun, Q. (Qinshan) | Application of Multimodal Optimization Metaheuristics to Training of A... | Stein van, dr. N., Kononova, dr. A.V. | CS | |
| 2023‑2024 | Visser, R. (Ruben) | Guidelines for Designing Experiments to Study Human-AI Interactions | Zohrehvand, dr. A.H., Stein van, dr. N. | I&E | |
| 2022‑2023 | Deng, Zhe | Meal Delivery Routing with Crowd-sourced Vehicles | Fan, dr. Y., Stein van, dr. N. | CS | |
| 2022‑2023 | Leng, H. | Multi-objective Optimization of Takeaway Order Allocation based on NSG... | Fan, dr. Y., Stein van, dr. N. | CS | |
| 2022‑2023 | Shahane, A.A. (Ananta) | A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehi... | Dr. Y. Fan, Stein van, dr. N. | CS | |
| 2022‑2023 | Zhang, Ziwei | Deep Learning for Visual Query Tasks Based on Spatio-Temporal Graph | Baratchi, dr. M., Stein van, dr. N. | CS | |
| 2022‑2023 | Chen, Wei | A Dual-Technique Approach: Shapelet and TimeGAN for Counterfactual Epl... | Stein van, dr. N., Bäck, prof.dr. T.H.W. | CS | |
| 2022‑2023 | Meurs, Thijs van | Automating the medical claims coding process; a medical NLP study usin... | Stein van, dr. N., Alex Brandsen | CS | |
| 2022‑2023 | Doekes, D. (Derk) | AI Legislation in the EU Financial Sector: Challenges and Compliance S... | Ramackers, dr. G.J., Stein van, dr. N. | I&E | |
| 2022‑2023 | Halsema, M.S. (Martijn) | Demystifying the Raven Roost Metaheuristic | Stein van, dr. N., D. Vermetten | Inf | |
| 2022 | Jesus de Araujo Rios, T. (Thiago) de | Learning-based Representations of High-dimensional CAE Models for Auto... | Bäck, prof.dr. T.H.W., prof.dr. B. Sendhoff, Stein van, dr. N. | PhD | |
| 2021‑2022 | Bhat, A. | Feature Extraction using Deep Learning for Breast Cancer Histopatholog... | Stein van, dr. N., Ebrahim Hazrati | CS | |
| 2021‑2022 | Luo, Y. | Application of deep learning in lead optimization for improving activi... | Stein van, dr. N., Dr. Gerard J.P. van Westen | CS | |
| 2021‑2022 | Rooij, L. van | Explainable AI for ship design analysis with AIS and static ship data | Stein van, dr. N., Kononova, dr. A.V. | CS | |
| 2021‑2022 | Nouweland, L. (Luuk) van den | Automating the Process of Defining the Aesthetic Quality of an Image i... | Stein van, dr. N., Kononova, dr. A.V., D. Vermetten | Inf | |
| 2020‑2021 | Hanse, Gideon | Efficiently solving Expensive Multi-Objective Black-Box Optimization P... | Bäck, prof.dr. T.H.W., Stein van, dr. N. | CS | |
| 2020‑2021 | Aldabergenov, Olzhas | Broad Language Support for Automatic Translation Insight Extractors of... | Stein van, dr. N., Verberne, prof.dr. S. | CS | |
| 2020‑2021 | Piaskowski, Bartosz | Benchmarking for Efficient Global Optimization Algorithms on Mixed-Int... | Stein van, dr. N., Kononova, dr. A.V. | CS | |
| 2020‑2021 | Ponse, K. | Automated Rotational and Localised Symmetry Detection from Global Refl... | Stein van, dr. N., Kononova, dr. A.V. | I&E | |
| 2019‑2020 | Bastiaan, Alban | An Exploration of Multiple Unsupervised Algorithms in a Financial Audi... | Kowalczyk, dr. W.J., Stein van, dr. N. | CS | |
| 2019‑2020 | Santiago Rojo, Juan de | Exhaust Gas Temperature modeling, a symbolic regression approach | Bäck, prof.dr. T.H.W., Stein van, dr. N. | CS | |
| 2019‑2020 | Schmidt, Zachary | Esports Match Result Prediction for a Decision Support System in Count... | Bäck, prof.dr. T.H.W., Stein van, dr. N. | CS | |
| 2019‑2020 | Wu, Jichen | Evolutionary Isolation Forest for Interactive Anomaly Detection | Kowalczyk, dr. W.J., Stein van, dr. N. | CS | |
| 2018‑2019 | Özer, Muhammet | Prediction of overtopping volume of waves approaching a crest using a ... | Kowalczyk, dr. W.J., Stein van, dr. N. | CS | |
| 2018‑2019 | Guo, Xin | A New Approach Towards the Combined Algorithm Selection and Hyper-para... | Stein van, dr. N., Bäck, prof.dr. T.H.W. | CS | |
| 2018‑2019 | Hader, Mounir | Bayesian Optimization for Automatic Configuration of Convolutional Neu... | Stein van, dr. N., Verberne, prof.dr. S. | CS | |
| 2018‑2019 | Lamers, Christiaan | Skippy: Automated configuration of CNNs with skip connections | Stein van, dr. N., Bäck, prof.dr. T.H.W. | CS | |
| 2017‑2018 | Ronde, S.J.P.M. (Sander) | Detecting Anomalies with Recurrent Neural Networks | Kowalczyk, dr. W.J., Stein van, dr. N. | Inf | |
| 2016‑2017 | Riet, J.C.A. (Jasper) van | Anomaly Detection with Deep Belief Networks | Kowalczyk, dr. W.J., Stein van, dr. N. | Inf | |
| 2016‑2017 | Martens, J.R.M. (Joost) | ETA: A Modular Approach to Analyzing Time Series Data | Stein van, dr. N., Kowalczyk, dr. W.J. | Inf | |
| 2015‑2016 | Duba, D. (Dico) | Retting PIPE: Extending the Petri Net tool PIPE 5 | Kleijn, prof.dr. H.C.M., Stein van, dr. N. | Inf | |
| 2015‑2016 | Visser, T. (Timothy) | Workforce Survey Data Analysis: Potentials and Pitfalls | Stein van, dr. N., Plaat, prof.dr. A. | Inf | |