| 2025‑2026 | Hamza, K. (Khayri) | Comparing Traditional and Deep Learning-Based Meta-Features for Algori... | Rijn, dr. J.N. van, dr. E. Alcobaça | DSAI |
| 2025‑2026 | Richtr, J. (Jan) | Investigating the Transferability of Reinforcement Learning-Based Hype... | Rijn, dr. J.N. van, Plaat, prof.dr. A. | DSAI |
| 2025‑2026 | Wünsch, D. (David) | Transfer Learning of Robustness for Image Classification Neural Networ... | Rijn, dr. J.N. van, A.W. Bosman | DSAI |
| 2025‑2026 | Eerden, B. van (Bram) | AutoML for Hydraulic Head Forecasting in Dikes: A Selective Pooling an... | Baratchi, dr. M., Rijn, dr. J.N. van | CS |
| 2025‑2026 | Kroonenburg, R. (Ramiro) | LLMs at your Service: Intent-Guided Fine-Tuning of Large Language Mode... | Rijn, dr. J.N. van, dr. P Eustratiadis | CS |
| 2025‑2026 | Li, Y. (Yue) | Exploring Algorithmic Bias Through Games: A Case Study on Interactive ... | Rijn, dr. J.N. van, Barbero, dr. G. | CS |
| 2025‑2026 | Rojas, P. (Pablo) | Unsupervised Adversarial Attack Detection via Student-Teacher-Based An... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | CS |
| 2025‑2026 | Neves Brito, R. das (Rivaldo) | Building an Experimental Learning Curve Database From Many Configurati... | Rijn, dr. J.N. van, F. Mohr | Inf |
| 2025 | Köning, H.M.T. (Matthias) | Automated Machine Learning for Neural Network Verification | Hoos, prof.dr. H.H., Rijn, dr. J.N. van | PhD |
| 2024‑2025 | Meyer, T. (Tomke) | Applying Counterfactual Explanations and Multivariate Forecasting to M... | Rijn, dr. J.N. van, prof.dr. P. Papapetrou | CS |
| 2024‑2025 | Wijne, L. (Louka) | Predicting Illegal Ship Breaking Via Fairness-aware Classifier Optimis... | Dr. A.P. Pereira Barata, Rijn, dr. J.N. van | CS |
| 2024‑2025 | Yi, X. (Xiaolu) | How Do Science Comics Convey Scientific Information? A Case Study on t... | Rijn, dr. J.N. van, Dr. P. Biecek | CS |
| 2024‑2025 | Claassen, R. (Robbie) | Hyperparameter Optimization of Pixel-based Diffusion Models with AutoM... | Rijn, dr. J.N. van, I. Gomes | Inf |
| 2024‑2025 | Cotino, T.C. (Tristan) | Investigating the Effectiveness of Complementary NNENUM Portfolios for... | Rijn, dr. J.N. van, A.W. Bosman | Inf |
| 2024‑2025 | Jong, D. de (Daan) | Monte Carlo Tree Search with Contextual Bandits | dr. D. van der Hoeven, Rijn, dr. J.N. van | Inf |
| 2024 | Huisman, M. (Mike) | Understanding Deep Meta-Learning | Plaat, prof.dr. A., Rijn, dr. J.N. van | PhD |
| 2023‑2024 | Jong, L. de (Lucas) | Leveraging Uncertainty for Improved Model Performance: Optimizing Gene... | I. Gomes, Rijn, dr. J.N. van, C. Soares | CS |
| 2023‑2024 | Kareem, J. (Jasmin) | Per-instance Algorithm Selection for MIP-based Neural Network Verifica... | H.M.T. König MSc, Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | CS |
| 2023‑2024 | Kok, G. (Gareth) | Systematic Comparison of Few-Shot Learners in Remote Sensing Image Rec... | Baratchi, dr. M., Rijn, dr. J.N. van | CS |
| 2023‑2024 | Laanen, R. (Rodi) | Concept Drift Detection Using the Distance to the Decision Boundary | Bosman, Rijn, dr. J.N. van, dr. B.M. Veloso | CS |
| 2023‑2024 | Nieuwenhuijzen, M. van den (Matt) | Selecting Pre-trained Models for Transfer Learning with Data-centric M... | Rijn, dr. J.N. van, Dr. H. Gouk, Dr. C. Doerr | CS |
| 2023‑2024 | Paraskeva, A. (Andreas) | Resource-constrained Neural Architecture Search on DistilBERT for the ... | Rijn, dr. J.N. van, J.P. Correia dos Reis, Verberne, prof.dr. S. | CS |
| 2023‑2024 | Schröder, S. (Sietse) | Overfitting in Combined Algorithm Selection and Hyperparameter Optimiz... | Rijn, dr. J.N. van, Baratchi, dr. M. | CS |
| 2023‑2024 | Spek, C. (Corné) | Auto-Verify: A framework for portfolio-based neural network verificati... | H.M.T. König MSc, Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | CS |
| 2023‑2024 | Adwan, A. (Amr) | Impact of Hyperparameters on Model Performance in Split Learning | Rijn, dr. J.N. van, Gadyatskaya, dr. O., Meulen, dr. A.N. van der | Inf |
| 2023‑2024 | Bakker, M. (Michaël) | Creating Agents for the Card Game Rikken | Nieuwenburg, dr. E.P.L. van, Rijn, dr. J.N. van | Inf |
| 2023‑2024 | Collenburg, S. van (Sven) | Automated Machine Learning for Sea Ice Concentration Charting | Rijn, dr. J.N. van, Hoos, prof.dr. H.H., A. Stokholm | Inf |
| 2023‑2024 | Staal, R. (Robin) | Decoding the Code-breaking Game of Symble | Vliet, dr. R. van, Rijn, dr. J.N. van | Inf |
| 2022‑2023 | Aaldering, B. (Bart) | The Performance of Information Set Monte Carlo Tree Search in the Game... | Rijn, dr. J.N. van, Koning, Broekens, dr.ir. D.J. | DSAI |
| 2022‑2023 | Braam, I. (Isaac) | BlockStep, An A* Algorithm toward Minecraft Optimal World Traversal fo... | Vliet, dr. R. van, Rijn, dr. J.N. van | DSAI |
| 2022‑2023 | Ding, Bosong | understanding MAML Through Its Loss Landscape | Rijn, dr. J.N. van, Plaat, prof.dr. A., Mike Huisman | CS |
| 2022‑2023 | Linden, Nick van der | Rumour Detection for Dutch Twitter | Putten, dr. P.W.H. van der, Rijn, dr. J.N. van | CS |
| 2022‑2023 | Mone, Antonio | Weight Agnostic Neural Networks on Atari Games | Bram M. Renting, Rijn, dr. J.N. van, Bäck, prof.dr. T.H.W. | CS |
| 2022‑2023 | Simons, Thijs | The Training of Neural Networks that can Train Neural Networks | Rijn, dr. J.N. van, Moerland, dr. T. | CS |
| 2022‑2023 | Toussaint, G. | Content-agnostic cascade-wise ranking of Fake News on Online Social Me... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H., Takes, prof.dr. F.W. | CS |
| 2022‑2023 | Boone, M. (Max) | Euridice (Extensible Data Cleansing Framework) Intuitive data quality ... | Ramackers, dr. G.J., Rijn, dr. J.N. van | I&E |
| 2022‑2023 | Mast, T. de (Teun) | Lowering the Resolution of Damage Data in a Model that Predicts Rainwa... | Rijn, dr. J.N. van, Baratchi, dr. M., T. Beenen | I&E |
| 2022‑2023 | Molling, P. (Pi) | Using Machine Learning Techniques to Predict Rainwater Damage Instance... | Rijn, dr. J.N. van, T. Beenen | I&E |
| 2022‑2023 | Feijen, R. (Romke) | Counting Winning Hands in Rummikub | Rijn, dr. J.N. van, Vis, dr. J.K. | Inf |
| 2022‑2023 | Klaassen, H.J.R. (Rutger) | Using sentiment analysis on tweets for predicting cryptocurrency price... | Rijn, dr. J.N. van, Y.J. Patel | Inf |
| 2021‑2022 | Schut, Fabian | Arbitrage in Electricity Markets using AI and Photo-Voltaic Battery En... | Heijstek, dr. W., Rijn, dr. J.N. van | IiB&PS |
| 2021‑2022 | Casara, M. | Simulation study of Uncertainty Quantification on classification tasks... | Stefan Franssen, Rijn, dr. J.N. van | CS |
| 2021‑2022 | Domela Nieuwenhuis Nyegaard, D. | A Genetic Algorithm Parameter Control Method using Deep Reinforcement ... | Rijn, dr. J.N. van, Plaat, prof.dr. A. | CS |
| 2021‑2022 | Moradi, A. | Federated Learning: literature review and hyperparameter importance. | Rijn, dr. J.N. van, Gadyatskaya, dr. O. | CS |
| 2021‑2022 | Schlender, T. | The Bigger Fish A comparison of state-of-the-art QSAR models on low re... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | CS |
| 2021‑2022 | Snelleman, T. | Coronary Artery Extraction using Geometrical Deep Learning on Medical ... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | CS |
| 2021‑2022 | Vink, T. | Classification of bank transactions into multi-class, nonuniformly dis... | Putten, dr. P.W.H. van der, Rijn, dr. J.N. van | CS |
| 2021‑2022 | Venemans, W.R.D. (Willem) | Classifying Protein Topology Matrices Using AI | Rijn, dr. J.N. van, dr. A. Mashaghi Tabari | BioInf |
| 2021‑2022 | Boone, M. | Euridice (Extensible Data Cleansing Framework) Intuitive data quality ... | Ramackers, dr. G.J., Rijn, dr. J.N. van | I&E |
| 2021‑2022 | Hordijk, L. | How to create an agent for the game of Klaverjas using Random Forests | Rijn, dr. J.N. van, Vis, dr. J.K., P. Koning | I&E |
| 2021‑2022 | Vennema, M. | A Machine Learning and XAI approach for creating personalized retentio... | Ramackers, dr. G.J., Rijn, dr. J.N. van, W. van Ham | I&E |
| 2020‑2021 | Dong, Siyuan | Learning Transferable Architectures for Image Denoising | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | CS |
| 2020‑2021 | Huisman, Mike | Revisiting Learned Optimizers in Few-Shot Settings | Rijn, dr. J.N. van, Plaat, prof.dr. A. | CS |
| 2020‑2021 | König, Oliver | Few-shot transformers | Rijn, dr. J.N. van, Bäck, prof.dr. T.H.W. | CS |
| 2020‑2021 | Palacios Salinas, Nelly | Automated Machine Learning for Satellite Data: Integrating remote sens... | Baratchi, dr. M., Rijn, dr. J.N. van | CS |
| 2020‑2021 | Bavelaar, C. | Using machine learning to predict rainwater damage in urban areas | Rijn, dr. J.N. van, Baratchi, dr. M. | I&E |
| 2019‑2020 | König, M. | Cascaded Fine-Tuning of Deep Convolutional Neural Networks for Age Est... | Hoos, prof.dr. H.H., Rijn, dr. J.N. van | CrIT |
| 2019‑2020 | Ma, S. | Eating Sound Dataset for 20 Food Types And Sound Classification Using ... | Rijn, dr. J.N. van, Gómez Maureira, dr. M.A. | CrIT |
| 2019‑2020 | Zandvliet, Jos | Adapting IC3 for Combinatorial Two-Player Games | Laarman, dr. A.W., Rijn, dr. J.N. van | CS |
| 2019‑2020 | Avoird, S. (Stan) van der | Prediction and Technical Analysis of the Bitcoin Crypto Currency Using... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | Inf |
| 2019‑2020 | Meijhuis, M.J. (Mark) | Using Machine Learning to Predict Price Trends in Foreign Exchange Rat... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | Inf |
| 2019‑2020 | Snelleman, T. (Thijs) | Strategic Gambling in DiminishingBridge | Kosters, dr. W.A., Rijn, dr. J.N. van | Inf |
| 2019‑2020 | Wink, T. (Thomas) | OpenML-Connect: A C++ Connection Library for OpenML | Rijn, dr. J.N. van, Kosters, dr. W.A. | Inf |
| 2019‑2020 | Zwetsloot, M. (Marnix) | Predicting the Outcome of the Card Game Klaverjas | Rijn, dr. J.N. van, Takes, prof.dr. F.W., Vis, dr. J.K. | Inf |
| 2018‑2019 | Schut, F.G.B. | Machine Learning and Technical Analysis for Foreign Exchange Data with... | Rijn, dr. J.N. van, Hoos, prof.dr. H.H. | I&E |
| 2018‑2019 | Graaf, S. (Sylvester) de | Cracking the Mastermind Code | Vliet, dr. R. van, Rijn, dr. J.N. van | Inf |
| 2018‑2019 | Kannangara, A.R. (Aaron) | Comparing Strategic Agents for Dominance | Kosters, dr. W.A., Rijn, dr. J.N. van | Inf |
| 2015‑2016 | Post, M. (Martijn) | Mythbusting Data Mining Urban Legends through Large Scale Experimentat... | Putten, dr. P.W.H. van der, Rijn, dr. J.N. van | Inf |
| 2014‑2015 | Bos, R. (Ralph) | Compact Decision Trees for Dou Shou Qi Tablebases | Kosters, dr. W.A., Vis, dr. J.K., Rijn, dr. J.N. van | Inf |
| 2013‑2014 | Boven, B. (Bas) van | Solving Jungle Checkers | Kosters, dr. W.A., Vis, dr. J.K., Rijn, dr. J.N. van | Inf |
