These are the master students I have supervised since 1989.
The list may not be complete.
Their research projects were
either internal or external. Where applicable, the name
of the other or external supervisor is given.
| # | Student | Year | Thesis title |
|---|---|---|---|
| 95 | Koen van Schuijlenburg | 2024 | Deep Learning Approaches for
Radio Frequency Interference Detection for
LOFAR
(supervisor: Maruf Dhali and Lambert Schomaker) |
| 94 | Lennart Centen | 2024 | Unlocking the power of RGB-D sensing: Advancing weed detection in precision agriculture
(supervisor: Lambert Schomaker and Lude Feldbrugge/Jelle Dalenberg JL Intelligent Systems BV) |
| 93 | Leander van Boven | 2024 | Automated tumour segmentation for fluorescence-guided surgery
(supervisor: Lambert Schomaker and Pieter Jan van der Zaag, UMCG) |
| 92 | Błażej (Blazej) Dubiel | 2024 | Autonomous Detection and
Classification of Bituminous Joints
in Highway Pavement Using
Two-staged and Residual-based
Convolutional Autoencoder
(supervisor: Lambert Schomaker and Pieter Piscaer, TNO) |
| 91 | Jelmer van Lune | 2024 | Controlled Generation of Synthetic Colonoscopy Images Containing Polyps using GANs
(supervisor: Lambert Schomaker and Peter van Ooijen, UMCG) |
| 90 | Julian Bruinsma | 2023 | Predicting product properties using autoencode-based
architectures on high-dimensional temporal data in cardboard manufacturing
(supervisor: Lambert Schomaker, company (Solidus) supervisor: B. van den Berg) |
| 89 | Andele Swierstra | 2023 | Synthesising BFO-like conduction maps using
stochastic geometry and entropy-based similarity measures
(supervisor: Lambert Schomaker, daily supervisor Davide Cipollini) |
| 88 | Xabi Krant | 2023 | Text-based Patent-Quality Prediction using
Multi-section Attention
(supervisor: Lambert Schomaker, external supervisor: Philip Steinberg) |
| 87 | Emile Ottelé | 2023 | Font-to-font image transforms using LSTMs for simplified character-based text recognition
(supervisor: Lambert Schomaker, 2nd supervisor: Mahya Ameryan) |
| 86 | Caitlin de Boer | 2022 | Extracting respiratory signals from thoracic surface EMG using machine
learning for source separation
(supervisor: Lambert Schomaker, 2nd supervisor: Bas de Vet/Demcon mechatronics) |
| 85 | Pin-Han Chen | 2022 | Combined QM-ML Approach to Accelerate Photodynamics Simulation with High Robustness
(supervisor: Daniel Roca-Sanjuan, 2nd supervisor: Lambert Schomaker) |
| 84 | Maximillian Velich | 2022 | Context is All You Need: Comparing Transformer-based to RNN-based Models in a Handwritten Text Recognition Task.
(supervisor: Lambert Schomaker) |
| 83 | Tobias van der Werff | 2022 | Improving Offline Handwritten Text Recognition Using Conditional Writer-Specific Knowledge.
(supervisor: Lambert Schomaker) |
| 82 | Nick Ubels | 2022 | Predicting unplanned vehicle swaps for electric opportunity-charged buses using neural networks.
(supervisor: Lambert Schomaker, 2nd supervisor M.E. van Kooten Niekerk (Qbuzz) |
| 81 | Jussi Boersma | 2022 | Detecting Heart Arrhythmia Syndrome in Multi-Channel Electrocardiograms Using 1D and 2D Deep-Learning Methods.
(supervisor: Lambert Schomaker, 2nd supervisor H. Bleijendaal) |
| 80 | Jordi Timmermans | 2022 | Learning dynamic control using a neuromuscular-inspired ensemble of second-order RC filters for neuromorphic computing
(supervisor: Lambert Schomaker, 2nd supervisor Tamalika Banerjee) |
| 79 | Bram de Wit | 2021 | From data to control: Learning an optimal HVAC control policy using a deep-learning based neural twin
(supervisor: Lambert Schomaker, 2nd supervisor Jaap Broekhuizen) |
| 78 | Thomas Bakker | 2021 | Self-supervised Automatic Event Detection in Sports Video
(supervisor: Lambert Schomaker, 2nd supervisor Wouter R. Uijens, TNO) |
| 77 | Dhawal Salvi | 2021 |
Using textual instructions for guiding an agent to land a Lunar Module simulator by means of Deep Reinforcement Learning
(supervisor: Lambert Schomaker, 2nd supervisor Sha Luo) |
| 76 | Ashwin Vaidya | 2021 |
Active Object Localization using Self-Attention and Reinforcement Learning
(supervisor: Lambert Schomaker, 2nd supervisor Samet Akcay) |
| 75 | Shubham Jinde | 2021 |
Anomaly Detection in Financial-Transaction Monitoring using Geometric Deep Learning
(supervisor: Lambert Schomaker, 2nd supervisor Noel Luneburg) |
| 74 | Nino Jansen | 2021 |
Exploring the robustness and generalizability of visual question answering and image-generating models using a cyclic architecture
(supervisor: Lambert Schomaker, 2nd supervisor Zhenxin Zhang) |
| 73 | Joram Koiter | 2021 |
Towards Unsupervised Feature Extraction and Visualisation for Historical Manuscript Dating
(supervisor: Lambert Schomaker, 2nd supervisor Maruf Dhali) |
| 72 | George Doulgeris | 2021 |
Artificial Staining of Raw Microscopy Cells using CycleGANs
(supervisor: Lambert Schomaker, external supervisor: prof. I. van der Klei) |
| 71 | Thomas van Dongen | 2021 |
Quality prediction of scientific documents using textual
and visual content
(supervisor: Lambert Schomaker, daily supervisor: Gideon Maillette de Buy Wenniger) |
| 70 | Manvi Agarwal | 2020 |
Credit assignment for surrogate-gradient learning rules
in spiking neural networks
(supervision: Lambert Schomaker, 2nd supervisor: Tamalika Banerjee) |
| 69 | Avinash Pathapati | 2020 |
Bandgap prediction for molecular crystals using Geometric Deep learning
(supervision: Lambert Schomaker, 2nd supervisor: Alexander Balatsky, Nordita) |
| 68 | Jelle Visser | 2020 |
Visual Question Answering With Enhanced Question-Answer Diversity
(supervision: Lambert Schomaker, 2nd supervisor: Gideon de Maillette de Buy Wenniger) |
| 67 | Cornel Kuiper | 2020 |
Separation of plastics in waste using semantic segmentation on hyperspectral
data with multi-dimensional neural networks
(supervision: Lambert Schomaker with Henk Boerhof (Bollegraaf BV)) |
| 66 | Remi Niel | 2020 |
Deep learning for pigment content prediction of metallic and pearlescent car paints using
surface images and multi-spectral measurements
(supervision: Lambert Schomaker w./ Klaas de Haas, Sherman-Williams) |
| 65 | Bram Wiggers | 2020 |
An adversarial learning method to optimize spectral and spatial information
in Sentinel-2 satellite data
(supervision: Lambert Schomaker w./ Dominique Cirkel, Ilionx) |
| 64 | Parth Tiwary | 2020 |
Multi-modal Fusion and Explainability: House-Price Estimation using Satellite Images
(supervision: Lambert Schomaker w./ Peltarion, Stockholm) |
| 63 | Jonathan Maas | 2020 |
Detecting Peroxisome-Protein Interactions using Deep Learning in Fluorescence-Tagged Microscopic Cell Images
(supervision: Lambert Schomaker w./ Ida van der Klei) |
| 62 | Swaraj Dalmia | 2020 |
Constraint-Based Circuit Design Using Generative Adversarial Networks
(supervision: Lambert Schomaker) |
| 61 | Jie Yan | 2020 |
Path Integration and Map Learning with a Spiking Neural Network for Neuromorphic Computing
(supervision: Lambert Schomaker / Yulia Sandamirskaya, ETH) |
| 60 | Jasper Krebbers | 2020 |
On the application of deep learning methods in the real world:
Image-classification of shipping container X-ray scans
(supervision: Lambert Schomaker, with Jetze Baumfalk, Dutch Customs) |
| 59 | Tim Oosterhuis | 2019 |
"Who is driving around me"? Situational Awareness in
Traffic using Deep Integrated Feature Signatures and Kalman Filtering
(supervision: Lambert Schomaker) |
| 58 | Yikun Li | 2019 |
Learning to Detect Grasp Affordances of 3D Objects using Deep Convolutional Neural Networks
(supervision: Hamidreza Kasaei and Lambert Schomaker) |
| 57 | Arjun Harish | 2019 |
Image to Image Transformation Techniques for Semantic Segmentation using GANs
(supervision: Lambert Schomaker, Ton Engbersen, external: Henk Boerhof, Bollegraaf BV) |
| 56 | Sjaak ten Caat | 2019 |
Automatic Composition of Affective Music Using a Long Short-Term Memory Network
(supervision: Lambert Schomaker, external supervisor: Masayuki Numao, Osaka) |
| 55 | Olaf Visker | 2019 |
Modern Scotland Yard: Improving surveillance policies using adversarial agent
based modelling and reinforcement learning
(supervision: Lambert Schomaker, external supervisor: Arnout de Vries, TNO) |
| 54 | Maikel Withagen | 2018 |
Gas Flow Prediction using Long Short-Term Memory Networks.
(supervision: Lambert Schomaker) |
| 53 | Vladyslav Tomashpolskyi | 2017 |
Sparse Negative Feedback for Cooperative Inverse Reinforcement Learning
(supervision: Lambert Schomaker/Alexander Lazovik) |
| 52 | Jos van de Wolfshaar | 2017 |
Deep Reinforcement Learning of Video Games
(supervision: Marco Wiering /Lambert Schomaker) |
| 51 | Francesco Bidoia | 2017 |
An Autonomous Indoor Navigation System Based on Visual Scene Recognition Using Deep Neural Networks
(supervision Lambert Schomaker/Amir Shantia) |
| 50 | Robert Musters | 2017 |
Topic detection in microblogs using big data and neural networks
(supervision Lambert Schomaker/Marco Wiering) |
| 49 | Arryon Tijsma | 2017 |
Sound-Event Detection and Classification using Recurrent Neural Networks
(supervision Lambert Schomaker) |
| 48 | Zhenwei Shi | 2016 |
DateFinder: detecting date regions on handwritten document images based on positional expectancy
(supervision Lambert Schomaker, Sheng He) |
| 47 | Tom Gankema | 2016 |
Context-enhanced text recognition using
semantic vector space models
(supervision Lambert Schomaker, Marco Wiering) |
| 46 | Simon Brouwer | 2016 |
Supervised Learning for Color Prediction of Car Paint Recipes
(supervision Lambert Schomaker) |
| 45 | Dyon Veldhuis | 2015 |
Feature distribution-based intrinsic textual plagiarism detection using statistical hypothesis tests
(supervision Lambert Schomaker) |
| 44 | Emil Kraaikamp | 2012 |
Hor-I-Spell, a mental typewriter based on beta-burst brain switch (supervision Lambert Schomaker, Ritske de Jong) |
| 43 | Marianne Ritsema van Eck | 2011 |
The Legal Transactions in the Acts of the Leuven Alderman's Rolls, 1421: Towards a Formal Semantic Model of the Act.[Report Internship, Monk search engine project] (MA/History, supervisor at AI: Lambert Schomaker) |
| 42 | Marijn Stollenga | 2011 |
Using guided autoencoders on face recognition (supervision Marco Wiering, Lambert Schomaker) |
| 41 | Tom van der Kleij | 2010 |
Monte Carlo Tree Search and Opponent Modeling through Player Clustering in no-limit Texas Hold'em Poker (supervision Marco Wiering, Lambert Schomaker) |
| 40 | Auke Klazema | 2010 |
Towards a fast spelling device for a brain computer interface: the quest for a third signal source in the EEG (supervision Lambert Schomaker, Ritske de Jong) |
| 39 | Auke-Dirk Pietersma | 2010 |
Feature-space learning in Support Vector Machines through
dual-objective optimization (supervision Marco Wiering/Lambert Schomaker) |
| 38 | Lude Feldbrugge | 2010 |
Using reinforcement learning to make optimal use of available power
and improving overall speed of a solar-powered boat (supervision Lambert Schomaker/Marco Wiering) |
| 37 | Jean-Paul van Oosten | 2010 |
Can Markov properties be learned by hidden-Markov modeling algorithms? (supervision Lambert Schomaker/Marco Wiering) |
| 36 | Bram Neijt | 2009 |
Learning to predict the quality of classifiers (supervision Tijn van der Zant/Lambert Schomaker) |
| 35 | Michiel Holtkamp | 2009 |
Relearning robot control: discovering muscle pairs of humanlike robot arm (Michiel was in Osaka, supervised by Yutaka Nakamura) |
| 34 | Jesse van den Kieboom | 2009 |
Biped locomotion and stability (Jesse was in Lausanne, supervised by prof. Auke IJspeert) |
| 33 | Pieter Laurens Baljon | 2006 | An investigation into time structure of EEG-based cursor control in a brain-computer interface using machine-classification methods |
| 32 | Pim Dorrestijn (CS/RuG) | 2006 | Analysis of historical cursive-handwritten documents |
| 31 | Jan Bernard Marsman | 2006 |
Using a Support-Vector Machine (SVM) for the analysis of fMRI images
in a tactile frequency-discrimination task. (Jan Bernard was in Liverpool with dr. Laura Parkes) |
| 30 | Alex Brussee | 2004 | Pro-active trajectory formation using a biomimetic and a biomechanical model. |
| 29 | Nanne Wams | 2004 |
Connectivity estimation in fMRI data using genetic algorithms (CEGA) (Nanne was supervised at BCN (Biol. Psychiatry) by Simone Reinders) |
| 28 | Bob van der Vecht | 2004 | Formulation and implementation of
relational behaviors for multi-robot cooperative systems (Bob was in Lissabon with Pedro Lima) |
| 27 | Rick van de Zedde | 2002 | Biologically inspired gaze stabilization
and attention mechanism toward object recognition (Rick was in Zurich with Rolf Pfeifer and Fumiya Iida) |
| 26 | Gert Kootstra | 2002 | Selection of Landmarks for Visual Landmark Navigation (Gert was in Zurich with Rolf Pfeifer and Fumiya Iida) |
| 25 | Wouter Aupers | 2002 | A developmental approach for pre-orientation of
a hand in humanoid robots (Wouter had his MSc. project on LIRA lab's Babybot in Genoa, Italy) |
| 24 | Wiebe Baron | 2002 | Real-time camera-based OCR |
| 23 | Rudolf Fehrmann | 2002 | Cognitive navigation modeling in robots |
| 22 | Arie M. Baris | 2000 | Get the Picture: User-centered aspects of object-based image retrieval |
| 21 | Maartje van Hardeveld | 1999 | Evaluation and Redesign of the Profile user interface |
| 20 | Edward L. de Leau | 1999 | Vector and pixel-based feature matching in the context of object-based annotation and image queries using outlines |
| 19 | Axel Goris | 1999 | TriPOD: Modelling Document-related activity (Xerox UK) |
| 18 | Ricardo Hirschi | 1999 | An exploration of novel user-interface methods in pen-user interfaces |
| 17 | Martijn Zegers | 1997 | Pattern recognition of embedded symbols (HP Labs Bristol) |
| 16 | Eliane C.J. Segers | 1996 | A study of the reading of handwriting by machines and humans |
| 15 | Nicole M. de Koning | 1996 | Solving problems in usability testing of multimedia application: A-MUsT - an Assistent for Multimedia-applications' Usability Testing (BSO/Multimedia) |
| 14 | Jeroen Baidenmann | 1995 | Using domain knowledge in user-interface design and evaluation (Akzo) |
| 13 | Elise Langham | 1995 | Bayesian classification of handwriting style |
| 12 | Lonneke Dikmans | 1994 | Future intelligent telephone terminals: A method for user interface evaluation early in the design process. (Philips/IPO) |
| 11 | Natasha B.E. Tjon A Tjieuw | 1994 | User-interface issues for the ScopeMeter (IPO report 986) |
| 10 | Dion M.G. Nijland | 1994 | The performance of an artificial neural network and human experts in peak detection problems (Akzo) |
| 9 | Ruud Nijhuis | 1994 | Using menu structures: A case study on the cognitive plausibility of HCI models |
| 8 | Sjoerd C.J. Selen | 1994 | The influence of text stimulus-modality and kind of unit on writing quality and automatic recognition of cursive script. |
| 7 | Toon Verhoeven | 1993 | Artificial Neural Networks for HERA (Fokker Space & Systems) |
| 6 | Ian Wilcox | 1991 | Static-image features in the bottom-up processing of an on-line cursive-script recognizer |
| 5 | Bart. H. Brasse' | 1991 | De invloed van de globale woordcontour tijdens visuele woordherkenning: een vergeljking tussen drukschrift en handschrift (The influence of global word contour during visual word recognition: A comparison between machine print and handwriting (in Dutch)). |
| 4 | Koen Stal / Oscar ter Hofstede | 1990 | Word completion by multiple-constraint solving |
| 3 | Jan Gerritsen | 1989 | An architecture for a cursive-script recognizing system |
| 2 | Hans Drexler | 1989 | Identification of shapes in cursive handwriting |
| 1 | Marc Albers | 1989 | Finding regularities in cursive script |