Visualization cluster

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Master projects

Here we list the current open, running and finished master projects in the visualization cluster. These projects give an impression of the breadth of possible graduation topics within the cluster. Note that projects might not be fully up to date, and therefore focus on identifying your interest.

Students who are interested to graduate in the visualization cluster must complete the seminar 2IMV00 and one or (preferably) more of our master courses. To secure a master project with us, students explore the open, assigned, and finished projects below, meet with our master coordinator Huub van de Wetering (h.v.d.wetering@tue.nl) to discuss suitability and timing , and are then assigned to a project and a supervisor. Note that Data Science and Computer Science students must be formally matched to our cluster to be eligible.

Open Projects (25)

Applying Comic Theory to Data Comics

In 2015, Zhao et al. introduced Data Comics [1] as 'Sequential art for data-driven storytelling'. Since then, researchers have applied it to different domains such as education [2], data provenance [3], or dynamic network visualization [4]. Each method usually establishes new methods to generate, …

Kay Roggenbuck

Stef van den Elzen
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Explainability Comics

Artificial Intelligence (AI) gained increasing attention in a wide range of fields, such as the detection of cancer in X-rays, fraud detection in money transaction networks, or the generation of novel drug molecules. However, most of the best-performing AI techniques are a black box, …

Kay Roggenbuck

Stef van den Elzen
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Visualizing Supply Demand matching Scheduling applications

The field of scheduling is a popular topic across many domains. In logistics, companies want to ensure that enough products are produced and delivered on time. In healthcare, hospitals have to ensure that there is enough capacity available to handle unforeseen sick waves, but …

Bram Cappers

Fernando Paulovich
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On-the-Fly Tract Selection: Novel Interaction Paradigms for Diffusion MRI Fiber Visualization

This project aims to design and implement novel interactive selection techniques for diffusion MRI tractography, enabling neuroscientists and clinicians to dissect, segment, and explore white matter fiber tracts in real time. Traditional tractography analysis often relies on static regions of interest (ROIs) or pre-defined …

Maxime Chamberland

Bram Kraaijeveld
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Tumor-driven deformation of fibre bundles using volumetric simulations and mesh modeling

This project investigates how brain tumors deform surrounding white matter fibre bundles, with the aim of improving our understanding of tumour–tract interactions and their clinical consequences. Tumor growth exerts complex biomechanical forces that can stretch, compress, or displace neural pathways, affecting both neurological function …

Maxime Chamberland

Besm Osman
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Visual Analytics for System-Level Simulations

Extracting insights to digitally design our cutting-edge scannersWe have models to run simulations of different systems and their sub-components, which allows to optimize configurations for the scanner to achieve a given objective.The data generated by the models is however multidimensional data (dozens of dimensions) …

Stef van den Elzen

Anna Vilanova
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Sensitivity Analysis for System-Level Simulations

Deriving and visualizing the impact of parameter change to down-stream variablesWe have models to run simulations of different systems and their sub-components, which allows to optimize configurations for the scanner to achieve a given objective.Some parameters in the scanner are expected to have a …

Stef van den Elzen

Anna Vilanova
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Pareto Analysis for System-Level Simulations

Deriving and visualizing the impact of parameter change to down-stream variablesWe have models to run simulations of different systems and their sub-components, which allows to optimize configurations for the scanner to achieve a given objective.Our software allows to run a multi-objective optimization and derive …

Stef van den Elzen

Anna Vilanova
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Dependency Graph for System-Level Simulations

Deriving and visualizing the impact of parameter change to down-stream variablesWe have models to run simulations of different systems and their sub-components, which allows to optimize configurations for the scanner to achieve a given objective.Our simulations have hundreds of variables, which can be free …

Stef van den Elzen

Anna Vilanova
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Visual predictive model for breast appearance following breast-conserving surgery

Breast-conserving therapy (BCT), which includes minimal surgical intervention, has become a preferred treatment for early-stage breast cancer due to its ability to preserve breast tissue and reduce recovery time. However, patients often face uncertainty regarding the aesthetic outcome of such procedures.The aim of this …

Andrei Jalba

MM
Maxima MMC
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Responsive visualizations across many devices

Data visualizations, whether in the news, in visual analytics systems, or for business applications, are frequently used across a variety of devices. This might include desktop computers with large screens, laptops, tablets, smartphones, and even smartwatches. Responsive visualization is the practice of designing and …

Sarah Schöttler
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Power Grid Network Layout Visualization

The medium-voltage grid, which is almost 40,000 kilometers long, is an important part of Alliander's electricity grid. The pressure on this part of the grid is increasing uncontrollably, due to the increase in the amount of PVs, electric vehicles and heat pumps, amongst other …

Bram Cappers

Anna Vilanova
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Investigating Guidance Techniques for Network Visualization

Networks—both static and temporal—are complex data structures that pose significant challenges for effective visualization and user interpretation. Guidance techniques in visual analytics aim to support users by providing automated or semi-automated assistance during exploration, helping to reduce cognitive load and improve insight discovery. This …

Hrim Mehta

Alessio Arleo
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Measuring perceptual distortion on dimensionality reduction plots

Dimensionality Reduction (DR) is a technique used to project high-dimensional points to lower-dimensional spaces. A common application is to project the dataset to a 2D plane, so it can be visualized as a scatterplot. However, we know that this process is not perfect, and …

Jaume Ros

Fernando Paulovich
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Automatic hyperparameter selection for t-SNE/UMAP

Local dimensionality reduction (DR) techniques such as t-SNE or UMAP are widely used in domains such as single-cell analysis, genome data, or protein folding to visualize and interpret complex, high-dimensional datasets. A key challenge for these techniques is setting the neighborhood parameters as they …

Diede van der Hoorn

Fernando Paulovich
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On the Continous Visualization of Graphs Structures

Graphs are mathematical structures consisting of vertices (or nodes) and edges (connections between nodes) used to represent relational information present in datasets. For analysis, it is common to visually represent graphs using geometric primitives, ensuring that the geometry of the drawing accurately reflects the …

Fernando Paulovich

Stef van den Elzen
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Multi-level Dimensionality Reduction using Graph Aggregation and Summarization to Explore Large Datasets

The interplay between graph drawing (GD) and dimensionality reduction (DR) has recently been considered through a framework that splits the DR process into two phases: relationship modeling and mapping. In the former, the relationships aimed to be represented on the final layout are modeled …

Fernando Paulovich
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Improved AI framework for BIM Clash Classification

Modern AI and Deep Learning can detect specific patterns in complex structures,like 3D geometry and temporal or meta data. In a first feasibility study it was proventhat neural networks are able to fully automatically label relevant hard clashes (high,medium or low priority) from geometry …

Andrei Jalba

KK
KUBUS
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Task-guided Dimensionality Reduction

The typical definition of dimensionality reduction is that points are mapped to the visual space, preserving the original pairwise distance between all points (global techniques) or between points belonging to the same neighborhood (local techniques). In light of this definition, the precision of the …

Fernando Paulovich
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Graduation projects at UiPath Process Mining

UiPath is the market leader in Robotic Process Automation (RPA) and is an end to end business automation platform. An important component of automation is being able to understand the process using process mining. The following assignments are related to UiPath Process Mining (formerly …

Stef van den Elzen

RS
dr.ir. Roeland Scheepens (UiPath)
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Dynamic Graph Visualization using Matrices

The use of adjacency matrices in network visualization is justified by a several reasons: they do not suffer from clutter (as in node-link diagrams for example), and allow to quickly identify groups and structures with practically no adverse effects when scaling to larger networks. …

Alessio Arleo
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Deep learning based 3D facial reconstruction

Current approaches for facial reconstruction involve parametric modeling, where mathematical optimization is used to fit 3D morphable models to scanned point clouds of the face. In some cases, depth maps arecomputed and 3D morphable models are then fitted on top of this map using …

Andrei Jalba

RI
Ronnie Edavattathu -- InnoFaith
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Visualization of event knowledge graphs for object-centric process mining

Existing process mining techniques on traditional event logs result in many problems. If an event is related to different cases, we get false behavior in the model (convergence), for a case there also may be multiple instances of the same activity within a case …

Stef van den Elzen
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Convective heat transfer visualization

Heat transfer represents the transport of thermal energy along certain paths, much like fluid motion represents the transport of fluid parcels along fluid paths. Due to this similarity, heat transfer can be analyzed and visualized based on tools similar to those used for fluid …

Andrei Jalba

MS
Michel Speetjens
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Visual Analytics for Unsupervised Learning for Patient-Ventilator Asynchrony (PVA) detection

Background: Mechanical ventilation (MV) is a life-saving intervention used to support patients with respiratory failure. However, the effectiveness of MV can be compromised due to patient-ventilator asynchrony (PVA), which occurs when the patient's breathing pattern does not align with the ventilator's settings. PVA can …

Anna Vilanova

ST
Simona Turco (BM/d EE)
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Assigned Projects (23)

Continuous representations of diffusion MRIDec 2025

Brains are inherently continuous structures. Yet, in the field of diffusion MRI, we have to rely on voxelized representations of the brain. As a result, the diffusion MRI community often uses the acquired data to model the (micro-)structure of the brain in independent voxels. …

NV
Natasha Vonk

Maxime Chamberland

Tom Hendriks
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Data-Driven Dimensionality Reduction and Interpretation of Diffusion MRI Signals in Healthy and Tumor-Affected Brain TissueNov 2025

This project aims to develop a data-driven framework for analyzing diffusion MRI (dMRI) signals in healthy and tumor-affected brain tissue using dimensionality reduction techniques such as t-SNE, UMAP, and autoencoders. By embedding the complex, multi-dimensional dMRI signal into a low-dimensional space (e.g., 2–3 components …

JW
Jasper Wilfling

Maxime Chamberland

Rembrandt Bakker
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From MRI to CT-Like Visualization: Enhancing Volume Rendering Through Segmentation and Deep Learning SynthesisNov 2025

This project investigates advanced strategies for enhancing 3D visualization of Magnetic Resonance Imaging (MRI) data through volume rendering. While transfer function–based rendering is highly effective for Computed Tomography (CT) due to standardized Hounsfield units, MRI intensities are sequence-dependent and lack a consistent physical scale, …

LA
Llodio Martinez, Arantza

Maxime Chamberland
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Accelerated Diffusion MRI tractographyNov 2025

Diffusion MRI tractography is a non-invasive method of mapping the white matter connections of the brain. Current techniques rely on discrete voxelized data to track these connections which introduces artefacts due to interpolation.In recent work, continuous representations have been explored for modelling the diffusion …

ZD
Zitong Di

Ruben Vink

Maxime Chamberland
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Gamification of Visual Analytics EducationNov 2025

Visual analytics is a multidisciplinary field that combines data analysis, human-computer interaction, and visualization to support analytical reasoning. While powerful, its concepts can be abstract and challenging for students to grasp, especially when transitioning from theoretical foundations to practical applications.This project explores the gamification …

FW
Faye van Wijngaarden

Fernando Paulovich

Huub van de Wetering
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Interactive Data Exploration in Healthcare Using a Local NL2Vis ApproachNov 2025

Hospitals store vast amounts of patient and operational data within their internal databases. Accessing this information often requires specialized query knowledge, limiting its usability for medical staff and analysts. This project aims to develop an AI-powered natural language interface that allows users to ask …

RR
Reuben Philip Roy

Fernando Paulovich
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Bringing Brain Surgery Images to Life in 3DSep 2025

In neurosurgery, surgeons often rely on images taken during the operation to assess how much of a tumor has been removed and to plan the next steps. These images typically capture the surface of the brain — including the cortex, blood vessels, and some …

ZZ
Zichuan Zhang

Maxime Chamberland

Bram Kraaijeveld
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Explainable AI for Event and Time Series Data to Understand Neonatal Sepsis Predictions in Collaboration with the HospitalAug 2025

Prematurely born babies who are admitted to the NICU (neonatal intensive care unit) in hospitals could develop sepsis. This is threatening for their health, therefore, researchers try to predict sepsis based on multidimensional event and time series data collected while monitoring these babies. This …

Sanne van der Linden

Stef van den Elzen
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Visualization of Events in the Space-time CubeApr 2025

Temporal datasets are notoriously hard to visualize. The use of the space-time cube, that is a three-dimensional visualization with the third dimension being time, is a solution that has been initially investigating in the context of cartography and later applied in a number of visualization systems. …

CE
Clinton Emok

Alessio Arleo

Huub van de Wetering
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A Framework for Explainable Graph DrawingMar 2025

Explainable AI (XAI) has attracted significant attention and research in the past few years. AI methods have been developed for Graph Drawing (GD) too, albeit research did not follow a specific direction. Several AI-accelerated GD techniques were developed, but little research has been done …

JT
Jarno van Tilt

Alessio Arleo

Stef van den Elzen
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Resource perspective visualizationDec 2024

In Process Mining, the resource perspective focuses on the people, machines and other resources employed in the end-to-end flow of the process. Cases and tasks are handed over between resources, resources have certain availabilities, and resources often govern when what can happen.In this project, …

KV
Kay Verbruggen

Huub van de Wetering
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Data-based visual grouping and comparison of playersDec 2024

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JR
Jip van Rooij

Huub van de Wetering

Fernando Paulovich
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Diffusion-aware Temporal Network Layout and VisualizationNov 2024

Background – With “Information Diffusion” we refer to the discipline of modelling how Information “spreads” over a network under the premises of a stochastic model, which approximates and encapsulates the properties of a real diffusion phenomenon [1,2]. The network on which the diffusion takes …

ŞB
Şeyhun, Barış

Alessio Arleo

Fernando Paulovich
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Continuous-time graph drawing using WebGLNov 2024

Typical dynamic network layout technique assume the time axis to be discrete, in order to simplify the problem and adapt techniques and technologies from the static graph drawing literature. This however has several drawbacks. If the network presents natural timeslices this technique works remarkably well: …

GL
Guangyu Li

Alessio Arleo
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Contact models for simulating granular materialsSep 2024

When simulating the dynamics of solid bodies in contact, one must compute the geometric overlap, determine where contact forces should be applied and in which direction. In addition, when the bodies are not entirely rigid or interpenetrate because of finite time steps, one introduces …

DR
Daniel van Rijswijk

Andrei Jalba

CS
Claude Lacoursière, TU/e, Algoryx Simulation
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Visualization and layout of architecture/design diagrams {using UML}Sep 2024

In software engineering Unified Modeling Language (UML) diagrams are used to visually represent a software system. UML diagrams communicate different aspects of the system (e.g., the main actors, roles, actions, and classes). The goal of the UML diagram is to document the architecture of …

Stef van den Elzen

MC
prof.dr. Michel Chaudron
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Local Geometry Extraction from Tactile InputJun 2024

In the field of robotics and automation, determining the position and orientation of objects is essential for various applications. Traditionally, this has been accomplished using vision-based sensors. The information from these sensors can recover the local geometry of a target object, which is done …

Jelmer Blaas

Andrei Jalba
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Visual analytics & explainable AI for deep image-to-image translation modelsNov 2023

The focus of existing VA systems for explainable DL models has primarily been on classification, which does not exhibit the complexities of image-to-image translation problems. Image-to-image translation models involve transforming data from one form to another, i.e., the input and outputs are high dimensional …

Anna Vilanova

Vidya Prasad
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Data-driven Interactive Genealogy Tree ConstructionNov 2023

The construction of genealogy trees is typically done by patching pieces of information together found by browsing historic records with, for instance, birth, marriage, or burial registrations. Nowadays, many of these records have been digitized, allowing for obtaining results faster. However, finding, precise matches …

BB
Berend van Beek

Huub van de Wetering
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Visual Recommender System for Flagging Features of Interest in Large Genomic AlignmentsSep 2023

A common task in the workflows of genomic biologists is to locate and inspect regions in genome-aligned data that show variation in many samples or genes. This can be a heavily repetitive task, going back and forth between manually extracting or querying the data …

Huub van de Wetering

Astrid van den Brandt
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Visualization for criminal investigationsSep 2023

Master project with Kay Roggenbuck.I am a PhD candidate at the visualization cluster, and my topic concerns visualizations for law enforcement and criminal investigations.Furthermore, this project is part of the AI4Intelligence project in cooperation with multiple PhD candidates from different universities across the Netherlands, …

Kay Roggenbuck
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Visual Analytics for Percutaneous Coronary InterventionsNov 2022

Master project with Kirsten Maas. The topic of my PhD is Visual Analytics for Percutaneous Coronary Interventions. I collaborate with Philips, Catharina Ziekenhuis Eindhoven and the Cardiovascular Biomechanics group of the Biomedical Engineering department.In short: I am interested in NeRF reconstruction methods and Visual Analytics …

Kirsten Maas
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Visual Analytics for Machine LearningNov 2022

Master project with Linhao Meng. My research focuses on empowering the machine learning pipeline with visual analytics (VA) for data scientists and engineers. Model development is a demanding process that involves various tasks about raw data, features, and models. We explore how to support data …

Linhao Meng
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Finished Projects (145)

Photorealistic rendering of the human brainNov 2025

The proposed project aims to develop novel methods for photorealistic rendering of diffusion MRI datasets by integrating advanced cinematic rendering technologies, path-tracing algorithms, and global illumination models. Diffusion MRI is an essential tool for studying neural connections and tissue architecture, but its traditional visualization …

RR
Renée Rulkens

Maxime Chamberland

Bram Kraaijeveld
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Schema-centered knowledge graph visualization and visual queryingNov 2025

Since Google introduced knowledge graphs (KG) in 2012, the interest in the topic has increased continuously, and many companies applied this or comparable techniques. Nowadays, KGs are used in various fields, from product recommendations for online shops to finding connections between criminals in criminal …

IW
Ian van de Wetering

Kay Roggenbuck

Stef van den Elzen
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Visualization of Large Wafer DatasetsNov 2025

Within Metrology & Patterning Control we focus on delivering cost efficient metrology and control solutions that help customers optimize scanner performance to maximize yield. With ever shrinking overlay margins this requires increasingly detailed overlay measurements: more measurements per wafer and more wafers measured, resulting …

AE
Angelos Erotokritou

Stef van den Elzen

PC
Paul van der Corput (ASML)
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Modeling and visualizing diffusion MRI dataNov 2025

Diffusion MRI allows us to make spectacular visualizations of the human brain. Depending on how you model the data coming out of the MRI scanner, you can obtain insights into different properties of the underlying tissue. Modeling fiber orientation distributions allows us to perform …

HP
Horia Pivniceru

Maxime Chamberland

Tom Hendriks
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Visualization of Event Sequence DataSep 2025

Master project with Sanne van der Linden. I am a PhD candidate and my research topic is about event sequence data. Much of the collected data is multivariate sequential data from heterogeneous data sources, such as patient treatments and medication in healthcare or customer behavior …

Sanne van der Linden
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Feature selection and ranking for Radiogenomics model of prostate cancerSep 2025

Background Prostate cancer is a major health burden. Both in Europe and the United States, it is the type of cancer with the highest incidence in men and the second cause of cancer-related death. One in seven men is diagnosed with prostate cancer in …

HK
Hilke Kroes

Anna Vilanova

Linhao Meng
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Visual analytics for the Analysis of PangenomesSep 2025

Master project with Astrid van den Brandt. Studying genetic variation underlying phenotypes is an important topic in genomics. In plant genomic research, for example, scientists analyze the variation between cultivars and wild types to develop crops with improved resistance to diseases. This analysis is commonly …

Astrid van den Brandt
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Visualization for troubleshooting CSV filesSep 2025

A Comma Separated Values (CSV) file is a plain text file that contains rows of data values (see Figure). These files are typically used to load into visualization and machine learning tools. It often happens that the CSV file is not correctly structured. For …

OA
Oula Osman Abou

Stef van den Elzen
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Dimensionality Reduction of Large Semiconductor Production Test DatasetsAug 2025

NXP Semiconductors enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. In the NXP manufacturing process, checking whether …

Fernando Paulovich
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Exploration and Analysis of Hypnodensity Sleep DataJul 2025

Traditionally, assessing sleep, and sleep disorders, is performed using Polysomnography (PSG). PSG focuses on the measurement and analysis of brain activity, eye movements, and muscle activity to determine whether a subject is awake or asleep, and in which sleep phase someone is (light sleep, …

NB
Nora Bouwman

Stef van den Elzen

MG
Merel van Gilst (EE & Kempenhaeghe)
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Using Knowledge Graphs and Visualization to Support the Comparison and Combination of Code-based Data Analytical SolutionsJun 2025

Any data analytical problem has multiple ways to be solved, involving different data mining, machine learning, or visualization solutions used in various combinations and orders. One example is the Kaggle competitions (https://www.kaggle.com/competitions), where a problem is posted, and the community contributes with different code-based …

MG
Marlou Gielen

Fernando Paulovich

Leonardo Christino
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Going from raw data to meaningful and personalized multivariate eventsJun 2025

Discrete multivariate event sequences are discrete records of a state with multiple attributes that form a chronologically ordered sequence. Discrete multivariate event sequences can be found in domains ranging from healthcare to transportation. Nevertheless, generating and analyzing such sequences from existing data is not …

RL
Rianne van der Leeuw

Fernando Paulovich

Stef van den Elzen
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Path-Centric Analysis and Visualization of Dynamic NetworksMay 2025

Network analysis is often node-centric, e.g., ego-network analysis using a node-link diagram. Other times the analysis is more edge-centric such as the high-level communication overview provided by a hierarchical edge bundle view. A path-centric analysis and visualization is still an unexplored area. Paths are …

SW
Sam van de Weyer

Stef van den Elzen
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Brain Tract Estimation via Cortical Folding SimulationsApr 2025

Description: Tractography is a method that maps nerve tracts using orientation data from diffusion MRI scans. Despite advancements over recent decades, state-of-the-art algorithms still face significant inaccuracies, generating four times as many invalid bundles as valid ones, showing little predictive value on anatomical metrics, …

BO
Besm Osman

Maxime Chamberland

Ruben Vink
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Anomaly detection of white matter pathways using deep learningApr 2025

Most diffusion magnetic resonance imaging studies of disease rely on statistical comparisons between large groups of patients and healthy participants to infer altered tissue states in the brain; however, clinical heterogeneity can greatly challenge their discriminative power. There is currently an unmet need to …

AJ
Adil Jahouh

Maxime Chamberland

Andrei Jalba
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VAE-Driven Boundary Sampling for more informative Decision Boundary VisualizationMar 2025

Decision Boundary Maps (DBMs) are visual representations of classifires that rely upon dimensionality reduction layouts to represent classifier decision boundaries. Existing techniques use the concept of inverse projection to decide the color of the pixels in a visualization according to the classifier. This has …

IB
Imke Bloemen

Fernando Paulovich
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Enhancing Sequence Tube Maps for Pangenome Graph VisualizationMar 2025

In recent years, graph pangenomes have become popular approaches to compare the DNA sequences of many organisms and discover differences that link to observable and measurable characteristics (or phenotypes) of interest, such as higher yield for crops or disease resistance in human genomics. These …

JG
Jasper Geelen

Huub van de Wetering

Astrid van den Brandt
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Visual Analytics for Symbolic Pattern Search in Time SeriesDec 2024

Time series data, collected across various domains, holds valuable insights that can drive decision-making. Identifying specific patterns within this data is valuable but challenging. For example, a shop owner might want to know if their sales have ever dropped for seven consecutive days. In …

ID
Iona Donaldson

Fernando Paulovich

Bram Cappers
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Visual scalability of a pangenome variant analysis designDec 2024

When a researcher wants to study the genetics of a species, the use of a reference genome is a common approach. A reference genome is the genetic information of one idealized organism of a species. It is assembled by combining DNA from multiple organisms …

KW
Kjell Weijts

Huub van de Wetering

Astrid van den Brandt
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Brain as a Dynamic Network Visualization: Can We See the Parts Affected by Depression?Dec 2024

Background Major depressive disorder (MDD) is a prevalent neuropsychiatric disorder with at least one episode occurring in the lifetime of 15%-18% of people worldwide. MDD is a very heterogeneous disease with highly varying symptom profiles and inefficient treatment as only one-third remit after first-line …

TO
Tim Htet Yan Oo

Stef van den Elzen

Anna Vilanova
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An illustrative and interactive timeline of Van Gogh’s painting materialsDec 2024

During his short but prolific life and career, Vincent van Gogh produced more than 2,000 artworks, including close to 900 paintings and 1,100 drawings and sketches [1,2]. He was also a passionate letter writer and more than 900 written exchanges with his family, friends …

EB
Emmie Bessems

Huub van de Wetering

VE
Van Gogh museum (Ana Martins) / Rijksdienst voor het Cultureel Erfgoed (Muriel Geldof)
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Developing and Optimizing Deep Learning Detection Algorithms for Medical Applications with Visual AnalyticsNov 2024

The main subject that will be investigated during this project is the explain-ability of black-box deep learning models using visual analytics techniques. The main goal will be to successfully build a framework in which model architects and developers can explore the inner workings of …

AP
Andreea Popa

Anna Vilanova

Vidya Prasad
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Privacy protection in photos for social networksNov 2024

Social computing applications, such as online social networks, have experienced a significant momentum in the last decades. These applications enable users to collaboratively create, manage and share resources with other users in real time. Although they provide several benefits for users and organizations, these …

GK
Georgi Kostov

Andrei Jalba

NZ
Nicola Zannone
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The Tesseract Linear-non-linear Dimensionality Reduction Method and a Suitable Visual Metaphor for its ExplorationNov 2024

Among the existing visual representations for the analysis of multidimensional data, Dimensionality Reduction (DR) layouts are one of the most popular, allowing users to analyze similarity relationships. In general, DR techniques aim at reducing a high-dimensional space to 2 or 3 dimensions and are …

YH
Yaron Heerkens

Fernando Paulovich

Leonardo Christino
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Data-Aware Dimensionality ReductionNov 2024

Dimensionality reduction is one of the leading visualization tools for analyzing multidimensional data, allowing for studying similarity/dissimilarity relationships in any dataset where a distance function can be defined. Despite its popularity, mapping many features to usually a pair of dimensions (in the visual space) …

DH
Diede van der Hoorn

Fernando Paulovich
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Visualization of CathLab dataOct 2024

Coronary artery disease is one of the most common heart diseases. The coronary arteries are the main heart vessels supplying oxygenated blood to the heart. When diseased, these arteries are clogged in certain locations, which we refer to as stenoses. To treat these stenoses, …

SK
Sjoerd Koop

Anna Vilanova

KV
Kirsten Maas, Amy Vermeer (CZE)
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On the Use of Relevance Feedback and Visual Representations to Help in Classifying Multimedia InformationOct 2024

In this fast digital content world, it is not uncommon for people to have thousands of images, texts, or songs in their possession that are usually not discarded but often not consumed. Some may create different strategies to organize content, but classifying and finding …

EK
Elian Klaassen

Fernando Paulovich
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Visualization, detection and assessement of cracks in paintings by Vincent van GoghSep 2024

Target levelTUe Master’s student(s) - employed as intern at ASML working in the collaborative project with the Van Gogh Museum (VGM) in the scope of the ASMl-VGM partnershipProject goalInteractive visual analysis design and implementation to explore topographical features in Van Gogh’s paintings (with a …

PB
Patrick Bastiaanssen

Anna Vilanova

AM
ASML (Lars Maxfield) / van Gogh museum (Ana Martins)
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Adaptive Core Streamline Definition in Diffusion MRI TractographySep 2024

Diffusion MRI tractography has revolutionized our understanding of the human brain's structural connectivity by enabling the reconstruction of white matter pathways. Along-tract profiling, known as tractometry, provides valuable insights into the microstructural properties of individual bundles. However, defining a reliable core streamline representation, such …

PZ
Paul Zelina

Maxime Chamberland
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Deep Learning and AI for BIM Clash ClassificationSep 2024

Building Information Modelling (BIM) or Building Information Management, is a highly collaborative process that allows architects, engineers, real estate developers, contractors, manufacturers, and other construction professionals to plan, design, and construct a structure or building within one 3D model.The most difficult part of BIM …

OR
Oana Radu

Andrei Jalba

KK
Kubus
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Dimensionality reduction of white matter tractsSep 2024

Various diffusion MRI (dMRI) measures have been proposed for characterising tissue microstructure over the last 15 years. Despite the growing number of experiments using different dMRI measures in assessments of white matter, there has been limited work on: 1) examining their covariance along specific …

TL
Teodor Lungu

Maxime Chamberland
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Web-Based Visualization Tool for Diffusion MRI TractographySep 2024

This project aims to develop a web-based visualization tool for diffusion MRI tractography, enabling researchers and clinicians to interactively explore and analyze white matter pathways. Diffusion MRI tractography generates a vast amount of data in the form of streamlines, representing potential fiber pathways within …

TV
Tudor Voicu

Maxime Chamberland

Anna Vilanova
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Automated extraction of the dentato-rubro thalamic tractSep 2024

The proposed master project aims to provide an overview of automated methods for the detection of the AC-PC line in medical imaging and segmentation approaches for the extraction of the dentato-rubro thalamic tract (DRTT) using diffusion MRI tractography. Both the AC-PC line and the …

ML
Miriam Laamoumi

Maxime Chamberland

Tom Hendriks
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Visual Analysis of early identification of diseases and associated complications in premature infantsAug 2024

The Neonatal Intensive Care Unit (NICU) is designed to treat high-risk infants, such as those who were born prematurely, and to monitor vital signs, prevent sickness, and give life support. The NICU is where infants that are critically ill are often treated. Premature infants …

YS
Youming Shan

Anna Vilanova

CC
Carola van Pul - Maxima Medical Center
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Interactive Process DiscoveryJul 2024

Process discovery is often done automatically using process discovery algorithms, such as the Probabilistic Inductive Miner [2]. However, the quality of the discovered models depends heavily on the quality of the data and how the data is prepared and selected. This is hard to …

WH
Wouter van der Heijden

Stef van den Elzen
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Glyph visualization & animation for diffusion MRIJun 2024

Background: Diffusion-weighted magnetic resonance imaging is a technique aimed at measuring the displacement of water molecules inside biological tissues. From those acquisitions, it is possible to reconstruct fiber orientation distribution functions (fODF) describing the apparent quantity of white matter fibers going through a voxel …

MJ
Mattijs Jansen

Maxime Chamberland

Anna Vilanova
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Visualization of Streaming Event SequencesJun 2024

Discrete multivariate event sequences can be found in domains ranging from healthcare to transportation. Discrete multivariate event sequences are discrete records of a state with multiple attributes that form a chronologically ordered sequence. For example, consider the medication intake of a patient. In this …

SW
Sietske Wijffels

Sanne van der Linden

Stef van den Elzen
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Ambiguous Orientation Estimation of Objects in RGB ImagesJun 2024

When estimating the orientation of an object in an image, several factors such as rotational symmetries, occlusion, and self-occlusion can create a set of possible orientations, either continuous or discrete. Consider a smooth cylinder where its orientation around one axis cannot be visually derived …

TF
Thimo Ferede

Andrei Jalba
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Data-driven Archive VisualizationApr 2024

Digitization of archives is an ongoing process in which the books in archives are handled in some order. The partial availability of the digitized records poses a problem for both volunteer, researcher and manager. All of them are left in a state in which …

JL
Jeroen 't Lam

Huub van de Wetering
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Descriptive Analytics using Prediction ModelsMar 2024

The increasing use and adoption of machine learning prediction techniques by different societal sectors, from health to industry domains, have recently fomented the need to inspect prediction models for accountability. This trend is usually referred to as explainable AI (xAI), and Visual Analytics (VA) …

JL
Joey Lensen

Fernando Paulovich
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Visual Comparison of Multiple Scenario-based Process ExecutionsMar 2024

This project is conducted in collaboration with UiPath Process Mining, which focuses on discovering, monitoring, analyzing, and improving business processes. These processes are uncovered via process mining and visualized in process models. These models are useful for discovering unwanted behavior and places where the …

ME
Merel Eikens

Huub van de Wetering

DB
Dennis Brons (UIPath)
More info
Visualizing Bicycle Incidents in the NetherlandsFeb 2024

In the Netherlands, a frequently used mode of transport is the bicycle. A quarter of the daily trips made within the country are done by bike. The relatively short distances, little elevation changes, and special bike lanes give the country a biking culture. Unfortunately, …

DC
Delorean Canlon

Fernando Paulovich
More info
Uncertainty Visualization for Neural Radiance FieldsFeb 2024

View synthesis and 3D reconstruction are complex fundamental problems in computer vision. Although several traditional neural networks for 3D reconstruction have been proposed, they typically cannot represent the high frequency details existing in these signals. Neural Radiance Fields (NeRF) [1] is a new emerging …

TC
Thiam Wai Chua

Anna Vilanova

NM
Nicola Pezzotti, Kirsten Maas
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Visual Analysis of Classification Ensemble Models ResultsDec 2023

Ensembles are compositions of standard classifiers taking advantage of classifiers' different characteristics by combining individual predictions into a single classification outcome. With the need to audit results produced by automated techniques, the demand to explain the results of ensemble models has emerged in recent …

PF
Paolo Franken

Fernando Paulovich
More info
Visualizing white matter shape characteristicsDec 2023

Within the field of tractography incredible advancements have been made by being able to non-invasively measure and model nerve tracts within the human body. While this alone allows for a better understanding of the neural pathways, this has also opened the door for further …

CS
Cas Sievers

Maxime Chamberland
More info
Identify and visualize domain shift in image-2-image modelsNov 2023

Introduced in 2015 by Ronneberger et al. [1], The U-Net model is one of the most powerful neural networks for image translation. This process allows an input image to be translated into an (possibly very different) image efficiently and effectively. It has also been …

SZ
Sihan Zhu

Anna Vilanova

NP
Nicola Pezzotti, Vidya Prasad
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Predicting user selection for interactive labelingNov 2023

Data labeling, as a fundamental task in supervised machine learning, refers to the annotation of data with representative labels. In contrast to active learning (AL), interactive labeling relies on users’ knowledge and pattern identification ability to select meaningful instances to label [1]. Previous work …

AV
Aishvarya Viswanathan

Anna Vilanova

Linhao Meng
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Simulation of soft-body objects for robotic manipulationOct 2023

Robotic manipulation has traditionally been focusing on the manipulation of rigid objects. However, as robotics is expanding in new application fields and is expected to physically interact with humans and a large variety of objects, the expectation is that robots will be able to …

Andrei Jalba

AS
Alessandro Saccon (TU/e Mechanical Engineering)
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Vision-Based Robotic Perception and Physics-Informed Scene RepresentationSep 2023

This project aims to design a physics-based simulation environment that dynamically represents a robot capable of performing vision-guided manipulation of rigid objects. Object poses have to be estimated with the use of an RGB(D) camera. The process should be fully autonomous. In order to …

SP
Stefan van der Palen

Andrei Jalba

AS
Alessandro Saccon (TU/e Mechanical Engineering)
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A processing and visualization framework to interpret X-Ray fluorescence (XRF) mapping data on Vincent van Gogh’s paintingsSep 2023

ASML and the Van Gogh Museum entered in a partnership aimed at supporting the preservation of Vincent van Gogh’s legacy. Understanding the objects, context and materials, how they have changed and will change in the future, and how that change can be monitored and …

DB
Dominique van Berkum

Anna Vilanova

AM
Ana Martins (van Gogh Museum) and Lars Maxfield (ASML)
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Random Forest Interpretation through Representative TreesAug 2023

The Random Forest model is an effective ensemble machine learning model that can be used to achieve high predictive accuracy. It consists of multiple decision tree models, each trained on a smaller part of the original data. However, its inherent complexity makes it difficult …

SL
Sem Lommers

Stef van den Elzen

Dennis Collaris
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Explaining Spotify recommendations through narrative visualizationsAug 2023

Main research question of project: To what extent can Spotify recommendations be explained to a satisfactory extent through narrative visualizations.Description: Artificial intelligence (AI) is becoming a more prominent part of our every day lives. However, a concern that comes with AI is that depending …

YO
Yana Onushkina

Stef van den Elzen

MC
Martijn Willemsen / Rianne Conijn (HTI department)
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Interactive simulated SysML/UML Models integrated in a 3D environmentJul 2023

This project is about the integration of IBM Rhapsody models in 3-diminensional Unity environment while allowing interaction with the models, simulation of the models, and placement of the models meaningfully with respect to the 3d-elements that they describe.

TK
Thijs Koenraadt

Huub van de Wetering

IB
Ion Barosan (SET)
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Process model discovery and visual analyticsJun 2023

Process discovery is often done automatically using process discovery algorithms, such as the Probabilistic Inductive Miner [2]. However, the quality of the discovered models depends heavily on the quality of the data and how the data is prepared and selected. This is hard to …

SE
Susan van Ewijk

Stef van den Elzen

DS
Dirk Fahland (PA) + Roeland Scheepens (UiPath)
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Thumbnail GenerationJun 2023

One objective of the Sailing+ application is to help newcomers engage with, and learn about, the sport of sailing. Part of achieving this goal is to summarize interesting events when and where they occur. In this thesis, we ask ourselves the question how to …

BL
Bailiang Li

Huub van de Wetering
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Object-Centric process mining (OCPM)Jun 2023

Existing process mining techniques on traditional event logs result in many problems. If an event is related to different cases, we get false behaviour in the model (convergence), for a case there also may be multiple instances of the same activity within a case …

GV
Gerben Vogelaar

Huub van de Wetering

RS
Roeland Scheepens (UiPath)
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Visualizing counterfactual explanations for exploration and interpretationApr 2023

When a machine learning classification has been made and the user disagrees with the prediction, he or she wants to know what needs to be changed to get a (better) different outcome. Calculating this is a part of machine learning called counterfactuals and recourse. …

BH
Bart Hofmans

Stef van den Elzen
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Tools for assessing the generalization capabilities of U-Net modelsMar 2023

The U-Net model, introduced in 2015 by Ronneberger et al. [1], is one of the most successful deep learning models. It allows to efficiently and effectively process an input image into an output which can be drastically different. It has been used for image …

CN
Claudiu-Teodor Nohai

Anna Vilanova

NP
Nicola Pezzotti, Vidya Prasad
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Multivariate Event Sequence Visualization of Heterogeneous DataMar 2023

Discrete multivariate event sequences can be found in domains ranging from healthcare to transportation. Discrete multivariate event sequences are discrete records of a state with multiple attributes that form a chronologically ordered sequence. For example, consider the medication intake of a patient. In this …

YH
Youri Haenen

Stef van den Elzen

Sanne van der Linden
More info
Autoencoder Visualization for Fraud DetectionFeb 2023

Problem In a previous project, Baker Tilly created an autoencoder to detect fraudulent transactions in a list of transactions. The autoencoder shows good results for the anomaly detection problem. However, it is difficult to show why the model made certain decisions and why it …

MN
Martijn Noordhof

Stef van den Elzen

JE
Jan-Willem van Essen (Baker Tilly)
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Reverse Engineering and visualization of micro-service based architectures based on execution tracesDec 2022

This is a project with ING Bank (Amsterdam*). ING wants to better understand their micro-service architecture. They reconstruct this based on execution traces. This leads to very large graphs (see example). The project may involve one or more of the following:o Analysis & Visualisation …

JP
Joris Peters

Stef van den Elzen

MC
prof.dr. Michel Chaudron
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AUD-it: Visual Exploration of Intervals in Multivariate Event SequencesNov 2022

The recent COVID-19 pandemic introduced new challenges for mental healthcare, such as the detrimental effects it has on peoples mental well-being, but also the limited access that people have to mental healthcare systems. PROSIT (Predicting Risk and Outcomes of Social Interactions) is a project …

EF
Evie de Fouw

Anna Vilanova

FL
Fernando Paulovich, Sanne van der Linden
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Visualization of Oblique Decision Trees for Model ExplainabilityNov 2022

A surrogate model is an interpretable model trained to approximate the predictions of a black box model for model explainability[1]. Thus it should be able to approximate the predictions of the underlying model as accurately as possible and be interpretable at the same time. …

CL
Chicheng Liu

Anna Vilanova

LC
Linhao Meng, Dennis Collaris
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Fast computation of medial representations for dynamic shapesOct 2022

Computing medial axes for 2D shapes is a well understood topic, with efficient, robust, and easy-to-use methods (see e.g., Ogniewicz and Kubler, 1995; Telea and van Wijk, 2002; Falcao et al., 2004; Siddiqi and Pizer, 2009). The 2D medial axis transform (MAT) fully encodes …

Andrei Jalba
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GPU & CUDA projectsOct 2022

Modern Graphics Processing Units (GPUs) have been shown to provide a viable means to accelerating compute-intensive applications. The main goal of any of the following projects is to develop GPU data structures and algorithms to accelerate certain graphics-related applications, through NVidia's CUDA GPU programming …

Andrei Jalba
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Unstructured dynamic environment reconstructionOct 2022

VinciTech is a robot company that is developing a lightweight robotic platform for collaborative tasks. This robotic platform is intended to work alongside people, as a COllaborative roBOT (COBOT). The robot arm itself is made of Igus Robolink W components. In a previous MSc …

Andrei Jalba
More info
Visual analytics for deep learning model Interpretation in video turnaround process analysis at SchipholSep 2022

The turnaround process is a series of tasks that need to be executed to prepare a parked aircraft for a new flight (e.g. fueling or loading baggage). The efficient execution of such tasks is necessary to guarantee that most flights will depart on time. …

AV
Alina Vorobiova

Anna Vilanova

SP
Santiago Ruiz Zapat, Floris Hoogenboom, Vidya Prasad
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Behind the Political Frame: Exploring Visualization Methods to Increase Bias Awareness and Mitigate Framing Effects on Social MediaSep 2022

Social media posts from politicians are biased, i.e. strongly in favor of one group or argument, and framed, i.e. selected, emphasised and presented. Although bias and framing do not imply falsehood, they do shape the receiver’s understanding of information, as politicians typically choose the …

WR
Wies Ruyters

Huub van de Wetering
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Robust multi-hypothesis 6D pose estimationJul 2022

Pose estimation is a core component in many modern computer vision pipelines. In applications like robotic grasping, augmented reality, and scene understanding, the ability to accurately and robustly predict the position and orientation of objects from RGB images is essential. Though the performance of …

TB
Tijn Bertens

Andrei Jalba

AS
Alessandro Saccon (Mechanical Engineering)
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Decision Support tool for Product ReleaseJun 2022

Vlisco releases 250 - 300 new dessins every year, and every new dessin is manually judged on feasibility and producibility. A risk profile is generated based on likelihood of typical errors related to the product drawing.This process is called Product Release and relies heavily …

JM
Jon Maessen

Robert van Liere

Anna Vilanova
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Visualization to detect early deterioration of neonatal patientsMar 2022

A Neonatal Intensive Care Unit (NICU) is a hospital department for neonates who need intensive care after birth. These neonates are monitored closely to check their vital signs (like ECG, blood pressure, oxygen saturation levels in the blood), as life-threatening complications can occur. These …

KT
Ky-Anh Tran

Anna Vilanova

CP
Carola van Pul (MMC)
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Visualization of progressive aggregate queriesMar 2022

This research will focus on exploring and analyzing the ways in which progressive aggregate query results can be visualized and presented to the user in the most informative, actionable way. Furthermore, ways to utilize the visualization as an interface by the user to further …

TT
Tomas Tombakas

Anna Vilanova

OP
Odisseas Papapetrou
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Creating a digital twin to visualize the city of Eindhoven and assist intuitive understanding of dataDec 2021

Digital twins have been applied in the field of aerospace engineering, manufacturing and smart products and asset lifestyle management. In all cases, the digital twin has been proven useful in ensuring infor- mation continuity, decision support and system behavior predictions. In recent years, research …

MP
Merel Pennekamp

Andrei Jalba
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Visualization of Deep Learning NetworksDec 2021

Deep learning networks are the state of the art in machine learning for various classification and regression tasks in many domains, e.g., machine vision, speech recognition, and, natural language processing. Deep learning models often outperform traditional machine learning models in terms of classification/regression accuracy. …

XZ
Xin Zhao

Stef van den Elzen
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GPU accelerated reactive collision avoidance for robotic controlNov 2021

We want to use moving least squares interpolation for reconstruction of an environment which is used in control of a collaborative robot (Cobot). A cobot is a robot designed to collaborate in a shared space with humans to assist in certain tasks. In order …

MT
Mark Tiemersma

Andrei Jalba
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Conformance and model visualization at UiPathNov 2021

UiPath is the market leader in Robotic Process Automation (RPA) and focuses on hyper automation. An important component of hyper automation is being able to understand the process using process mining. The following assignments are related to UiPath Process Mining (formerly ProcessGold), which is based in …

JD
Jonne Deurloo

Stef van den Elzen

RS
dr.ir. Roeland Scheepens (UiPath)
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Hardware acceleration of light transport algorithmsNov 2021

Photon mapping is a physically-based light transport algorithm. It consists of two stages: in the first stage, energy packets called photons are emitted from light sources and traced through the scene. When the photons intersect with scene geometry, their position and energy are recorded …

NM
Nol Moonen

Andrei Jalba
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Validation of uncertainty in DL models in context of lung nodulesOct 2021

Deep Learning models can currently achieve state of the art performances in several medical image analysis benchmarks. However, modern Deep Learning architectures have been shown to be susceptible to generating overconfident predictions even in cases when the model generates wrong the wrong prediction. The …

KM
Kirsten Maas

Anna Vilanova

NM
Nicola Pezzotti and Dimitrios Mavroeidis
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Visual Analytics for Sleep Diary AnalysisSep 2021

This study will provide more insight in sleep and the relation between sleep and air traffic using interactive web-based visualizations. Sleep data will be retrieved from a graphical sleep diary application and air traffic data from an open-source platform.Every two years, the Gemeentelijke Gezondheidsdienst …

AS
Anne Smets

Anna Vilanova

HO
Humberto Garcia and Sebastian Overeem
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Visual Analysis of equipment failure patterns at ASMLSep 2021

ASML collects and analyzes event log data from thousands of machines in the field. This data is used to diagnose equipment failures in near real-time: often ASML’s diagnostic software can recommend which repair action to take. In addition, a database with all these machine …

CV
Cas Verploegen

Jack van Wijk
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Surface-Based Progressive Uncertainty Visualization in Diffusion Tensor ImagingAug 2021

Diffusion tensor imaging (DTI) is a magnetic resonance (MR) image technique that is being used to track fibers of white matter in the brain. This fiber tracking, also called tractography, can for example help surgeons with the preparation for brain surgery. During several steps, …

Anna Vilanova

Faizan Siddiqui
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Making Sense of HypnogramsAug 2021

Polysomnography (PSG) remains the current gold standard for assessing sleep. PSG focuses on the measurement and analysis of brain activity, eye movements and muscle activity to determine whether a subject is awake or asleep, and in which sleep phase someone is. From PSG, the …

CW
Caspar van der Woerd

Stef van den Elzen

DO
Dr. Pedro Fonseca and Prof. dr. Sebastiaan Overeem
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Visualizing music structure using Spotify dataJul 2021

For musicians and music analysis, discovering, and explaining structural patterns is still done mostly by hand. And due to the limitation of having to listen to the music multiple times for its entire duration it is also very time consuming. For some songs, musical notation …

JS
Job Savelsberg

Jack van Wijk
More info
Visual Analysis of Basketball competition dataJun 2021

Given NBA data for two full competitions on player position, ball position, match events like scores, try to analyze and compare players, teams, and competitions on a level suitable for an amateur basketball coach.

SW
Shixiong Wang

Huub van de Wetering

Anna Vilanova
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Visual Analysis of International Draughts GamesMar 2021

International draughts is a two-player board game played on a 10 by 10 board. To analyze matches or research tactics for this game several datasets are available. Among others, a historic database of matches and a database that gives, for positions with a limited …

CC
Cengizhan Can

Huub van de Wetering
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Visualizing medical narratives from electronic health recordsJan 2021

The electronic health record was designed to assist doctors, but in hospitals in the US, a kidney patient has on average 338 notes. The medical narratives in these notes play a major role in providing contextual richness of a patient and clinicians rely heavily …

SL
Sanne van der Linden

Jack van Wijk
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Progressive uncertainty visualization in tractographyJan 2021

Tractography, frequently also referred to as fiber tracking, is the most commonly used technique for reconstructing and visualizing nerve tracts in the human brain. The processing pipeline to visualize this data, from image acquisition to the final rendering, is rather complex and along the …

RR
Rutger Rauws

Anna Vilanova

Faizan Siddiqui
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Marriage Mobility Visualization for Genealogical DataNov 2020

The Brabant Historical Information Center (BHIC) collects various types of genealogy data in the province of Noord Brabant. The datasets they collect contain the records of different events in one’s life, including birth, marriage, military, prison, residence register and death. And for each kind …

JX
Jinfan Xu

Huub van de Wetering

Michael Burch
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Vision based motion prediction in an unstructured dynamic environmentOct 2020

Cooperative robotics is a growing interest in industrial settings. This report focuses on the prediction of unstructured dynamic environments, which can be expected when a workspace is shared between a robotic system and a human. Accurate predictions of positions and velocities of objects in …

BB
Bas Blom

Andrei Jalba
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Visual Analysis of Revenue Key Performance IndicatorsOct 2020

In any given company or organization, growing and escalating their business is one of the major goals. The decisions and strategies undertaken to achieve these goals are thus crucial. Generally, the measures against which companies measure and evaluate their performance or success are known …

AV
Aanchal Vazir

Huub van de Wetering
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Robust Online Environment Reconstruction with Multiple Cameras for Cobot Collision AvoidanceSep 2020

Collaborative robots (Cobots) are used in, for instance, the assembly and packaging industry to help workers complete difficult or impossible repetitive tasks. To improve cobots they should be able to complete their tasks without colliding into dynamic objects. To avoid collision the cobot needs …

MM
Marc Meijer

Andrei Jalba

AS
A. Saccon
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Visual Analysis for NarcolepsyAug 2020

Narcolepsy is a chronic neurological condition that results from the dysregulation of the sleep-wake cycle occurring in an early stage, specifically in adolescence. Patients with narcolepsy experience excessive daytime sleepiness, cataplexy, hypnagogic hallucinations, sleep paralysis and disturbed nocturnal sleep and these symptoms together form …

PB
Priyanka Bhaskar

Anna Vilanova

Michel Westenberg
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Modelling, Computing, and Visualizing: Uncertainty in Pedigrees from Genealogical DatasetsAug 2020

Genealogy, the establishment of a pedigree, is the investigation and research of the family, family history, and past footprints. In the past, genealogy often used oral interviews, genetic analyses, historical records, and other queryable information to collect information about the family, and to prove …

ZF
Zirui Feng

Michael Burch
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Identifying and Reducing Visual Clutter for Process Graph LayoutsAug 2020

Process mining tools help businesses gain insight into their processes by, among other things, providing automated visualizations of their process event logs. Process graphs play an important role in process analysis by providing an interactive graph layout in which nodes represent activities, and directed …

WB
Wilco Brouwer

Huub van de Wetering
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Patterns & Correlations in Scanner Data for Wafer Output OptimizationJul 2020

ASML is one of the largest manufacturers of machines that are used in the process of creating silicon based micro-chips used in modern electronic devices. These machines are cutting edge photolithography scanners, used in the process of manufacturing micro-chips. The performance of these machines …

AS
Arjun Sangitrao

Michael Burch
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Behavioral change visualization for GameBusJan 2020

This graduation project aims to visualize behavioral change of people who use the mobile health application GameBus. GameBus is an application which promotes healthy behaviors (e.g. physical, social and cognitive activities) according to the age and interests of the user. Currently, analyzing the data …

JW
Joep Wijnhoven

Huub van de Wetering
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3D fingerprint detection in ancient museum sculptures from CT dataNov 2019

The identification of a creator of a piece of art has both cultural and economical values. Cultural in a sense that it helps in shaping human history and economical in a sense that it gives an art buyer the confidence in purchasing an authentic …

SS
Sanders, S.

Andrei Jalba

Robert van Liere
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An efficient end-to-end object detection pipeline on GPU using CUDAJun 2019

Object detection has been the most important task in the field of computer vision. As researchers have proposed many efficient object detection methods, the deployment and application of these methods in an engineering perspective has become a problem. We propose to implement an efficient …

XW
Xiaowei Wang

Andrei Jalba
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Vision based obstacle representation for cobot collision avoidance in unstructured environmentsMay 2019

In industrial context, there is an increasing request to share the workspace between humans and robots. In this shared workspace, close collaboration between robots and humans takes place, such as robots helping humans with repetitive tasks. Collaboration can be made more flexible by enabling …

TB
Teun Bosch

Andrei Jalba

HS
Henk Nijmeijer, Alessandro Saccon
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Improving maintainability of data transformation graphs using visualizationJan 2019

Companies often integrate their data by extracting information from different sources and applying various transformations to receive their desired output (also referred to as ETL). Maintenance on the transformation graphs applying these transformations is performed by a small number of domain experts that often …

RA
Ruud Andriessen

Jack van Wijk
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Crowd dynamics for building evacuations in emergency situationsNov 2018

In this thesis we propose a method for crowd simulation in building evacuation. The simulationenvironment is a building with optionally multiple floors in which fire and smoke can be present.The simulation should run in real-time with up to thousands of agents. People in the …

BV
Bart Verberne

Andrei Jalba
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Instance-level decision visualization of Random Forest modelsFeb 2018

Machine Learning models get better and better at various tasks. However, along with these improvements, the complexity of these models also rapidly increases. This negatively affects the comprehensibility of these models. In this thesis, we defend the case for comprehensibility of a specific predictive …

DC
Dennis Collaris

Jack van Wijk

MP
Mykola Pechenizkiy
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JuxtaSet: visualization of time-varying patterns and missing dataSep 2017

Epidemiologists need to monitor complex resistance patterns of multi-drug resistant bacteria, and especially since bacteria are increasingly resistant to antibiotics. Their analysis, however, is limited to individual antibiotics. Hence, epidemiologists want to gain more insight in multi drug resistance patterns and their relations with …

ND
Niels Drost

Jack van Wijk
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Visualization of trace clustersAug 2017

Process mining is a technique to extract a process model from an event log. An event log represents a process and consists of traces describing a sequence of activities. Applying process mining techniques to a complex process can lead to a model that is …

RS
Rik Schreurs

Huub van de Wetering
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Visualizing consonance and dissonance in modal counterpointAug 2017

The concepts of consonance and dissonance correspond roughly to the combinations of musical notes that are perceived by most to be pleasant and unpleasant, respectively. These concepts are some of the main cogs and gears available to composers for the purpose of introducing emotionaltension …

JR
Jan-Pieter Rooij

Huub van de Wetering
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GPU-accelerated geodesic fiber tracking for HARDI data using CUDADec 2016

The main goal of this research is improving the performance of geodesic fiber tracking for HARDI data by utilizing the parallel computing capabilities of a Graphical Processing Unit (GPU) through the CUDA language. Instead of sequentially tracking single fibers in one CPU thread, the …

HM
Hesselberth, M.

Andrei Jalba

Huub van de Wetering
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Visualization of data from longitudinal studies concerning multi-variant diseasesDec 2016

The Center for Infectious Disease Control, RIVM, is the national knowledge center and coordinator in the infectious disease domain. One way of reducing health problems related to infectious diseases is by vaccination. For some infectious diseases, such as the Human papilloma virus ( HPV) …

BW
Bart van Wezel

Jack van Wijk
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Finding "Memphis" : a rating-based player comparison visualisationNov 2016

With the development of sensor and camera tracking systems, it becomes easier to track player events in a football match. With these match events, post-match analysis on players can be conducted to compare the performance of players.Comparing football players is not an easy task, …

YW
Yujie Wang

Huub van de Wetering
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Visual analysis of multi-agent systems: a case studyAug 2016

Multi-agent systems generate large amounts of logging data that, when properly understood, could be used to understand and subsequently improve their behaviour. A multi-agent system is a computerized system that consists of multiple interacting intelligent agents in an environment. Typically, the agents in the …

JR
Joris Reijrink

Huub van de Wetering
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Visualization of variability in radiotherapy dose planningAug 2016

In radiotherapy, the goal is to deliver high radiation doses to destroy the cancer cells,while sparing the adjacent healthy tissues. To ensure that disease is treated and normal structures are spared, a dose planning is required. Nowadays, through the use of image guidance techniques …

PS
Pedro Silva

Anna Vilanova
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Simulation algorithms for large, dense crowdsAug 2016

In this thesis, we develop two new methods for simulating large, dense crowds. We consider crowds ofseveral thousand agents. Each of these agents has to navigate the scene to reach its goal, while avoiding collisions with obstacles and other agents. Thus, our simulation methods …

BH
Benjamin van der Hoeven

Andrei Jalba
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Medication visualization and cohort specificationNov 2015

Kempenhaeghe is an expertise centre for epileptology, sleep medicine, and neurocognition. Doctors gather information about epilepsy patients in order to respond with adequate surgery and/or medication. Per patient, all data on symptoms, treatments, events and notes are stored in an information system in the …

DD
Dingen, D.

Jack van Wijk
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Visual exploration of segmentation errors in pelvic structuresAug 2015

Nowadays, the usage of medical imaging data is widely present in both diagnostic procedures and treatment planning. Using Magnetic Resonance Imaging (MRI) or Computer Tomography (CT) scans, sets of two-dimensional slices are obtained, from which three-dimensional models can be constructed using segmentation algorithms. These …

FM
Freek Marcelis

Huub van de Wetering

Anna Vilanova
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Visualizing differences between brain networksAug 2015

Nowadays, it is possible to obtain brain networks from data measured by a Magnetic Resonance Imaging (MRI) scanner. This opens up new ways of understanding the human brain. One new possibility is comparing two brain networks, which may aid in understanding brain diseases like …

RH
Rick Hendricksen

Huub van de Wetering

Anna Vilanova
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Visualizing football team strategies and player performanceJul 2015

In this thesis we present a software prototype to explore football data containing spatiotemporal data. In contrast to most of the current analyses, we show that football visualization is not restricted to statistical information by visualizing playing styles and strategies. We define possession chains …

LB
Leroy Bakker

Huub van de Wetering
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Visualization of spatio-temporal soccer dataOct 2014

The work in this thesis has been carried out under the auspices of Infostrada Sports, and its purpose is to visualize the core of a soccer match using spatio-temporal data. Matches consist of large, dense data sets of events, which are difficult to elucidate …

MG
Marijn Grootjans

Huub van de Wetering
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City traffic visualizationOct 2014

Sooner or later every modern city faces the challenges to cope with increased traffic and street congestions. Increased e-commerce means an increase in the number of delivery trucks driving around. Understanding how a city works can be used by researchers and governments to enforce …

VD
Valcho Dimitrov

Jack van Wijk
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Visualizing ASML TWINSCAN event log historyJun 2014

ASML's wafer scanners play a crucial part in the process of making computer chips. They pattern an optical mask of hundreds of chips onto a silicon disc, a so-called wafer. There is no one that knows everything there is to know about a wafer …

HV
Han van Venrooij

Jack van Wijk
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Visualizing flows in event logsMay 2014

In this thesis we visualize event logs, or also often called process data. We start with the idea of visualizing the data as a flow. We use data from a high school to implement and test our system. The data analyst we obtained the …

ST
Seffer Turan

Jack van Wijk
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Medicine prescription visualizationAug 2013

Electronic patient data and medical prescription histories are a valuable source of information. Doctors want to use this data to get more insight into their prescription behavior and that of their colleagues. Up till now, there is no suitable system that shows information about …

PC
Paul van der Corput

Jack van Wijk
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Migration visualizationMay 2012

Demographic experts at CBS are interested in migration. Currently, analysis of migration data is a time-consuming process. The migration data set contains both information about the regions between which people migrate, and the migrants themselves. A combination of existing, easy to interpret visualizations is …

GO
Giel Oerlemans

Jack van Wijk
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A layout algorithm for workflow netsFeb 2012

In this thesis we present a layout algorithm for Workflow nets, which are a specific type of Petri net. While much research has been performed on layout algorithms for graphs, there is little known research on layout algorithms for WF-nets. Our layout algorithm is …

MT
Maik Teurlings

Huub van de Wetering
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Real-time realistic radar simulationJan 2012

The screen of a radar system is complicated and subject to many artifacts. Many physical aspects of the world need to be simulated in order to faithfully reproduce it. In this thesis we introduce an algorithm that can output a realistic image of a …

PW
Paul Wagener

Huub van de Wetering

Andrei Jalba
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InfoCloud: improving business intelligence usage by socializationNov 2011

Business Intelligence tools are used by professionals to obtain knowledge about the organization they work in which in turn is used to make good management decisions. One type of BI tools use visualizations to make the data in the organizations’ databases more understandable and …

FW
Florian van der Wielen

Jack van Wijk
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Linux package dependency visualizationOct 2011

In UNIX-like operating systems such as Linux, the software is split into thousands of packages which are tracked by package management software. Interdependency is an important term in this context because in a Linux system, the working of an application may depend on the …

EX
Ernest Mithun, X.

Huub van de Wetering
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Visualization of dense temporal eventsAug 2011

In this thesis, an approach to visualizing dense temporal events is investigated. When events are densely packed together, the resulting issues are highlighted and techniques to alleviate them are presented. The visualization developed enables uncovering interesting patterns hidden in such dense temporal data. The …

SD
Supriya Dsouza

Huub van de Wetering
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Visual traceability across dynamic ordered hierachiesAug 2011

Traceability is considered to be important in many scientific and industrial fields for verification purposes, accountability and quality control. Currently existing methods for gaining insight in traceability information cannot provide a complete overview and lack the ability to quickly gain insight in the relations …

WR
Wiljan van Ravensteijn

Huub van de Wetering
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Visual interactive grouping: follow the leader!May 2011

Clustering is a technique for grouping similar data. It is not evident what similar data is; this depends on a domain or even on a specific situation. Therefore, a user might be engaged in the clustering process, so he1 can transfer his domain knowledge. …

TL
Thomas Lammers

Huub van de Wetering
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Interactive construction, analysis and visualization of decision treesMay 2011

In this thesis the results of the ĕnal master project performed at the Eindhoven University of Technology, Department of Mathematics and Computer Science, Visualization group under the guidance of prof.dr.ir Jarke J. van Wijk are presented. The realized research has led to three products; …

SE
Stef van den Elzen

Jack van Wijk
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Cartographically inspired visualization of points setsApr 2011

The display of a large number of points, distributed over the plane, is a classic visualization problem. Available space is usually limited, which means a simple plot of the points (known as a scatter plot) quickly becomes cluttered and also suffers from problems such …

BA
Bart van Arnhem

Jack van Wijk
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Augmented reality for landscape development on mobile devicesMar 2011

The goal of this project is to research the possibilities of “Augmented Reality for Landscape Development on Mobile Devices”. It aims to create a prototype that is able to derive the user’s context and, based on this context information, can display a new landscape …

DH
David Hardy

Huub van de Wetering
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Master projects

Open Projects (25)

Applying Comic Theory to Data Comics

Explainability Comics

Visualizing Supply Demand matching Scheduling applications

On-the-Fly Tract Selection: Novel Interaction Paradigms for Diffusion MRI Fiber Visualization

Tumor-driven deformation of fibre bundles using volumetric simulations and mesh modeling

Visual Analytics for System-Level Simulations

Sensitivity Analysis for System-Level Simulations

Pareto Analysis for System-Level Simulations

Dependency Graph for System-Level Simulations

Visual predictive model for breast appearance following breast-conserving surgery

Responsive visualizations across many devices

Power Grid Network Layout Visualization

Investigating Guidance Techniques for Network Visualization

Measuring perceptual distortion on dimensionality reduction plots

Automatic hyperparameter selection for t-SNE/UMAP

On the Continous Visualization of Graphs Structures

Multi-level Dimensionality Reduction using Graph Aggregation and Summarization to Explore Large Datasets

Improved AI framework for BIM Clash Classification

Task-guided Dimensionality Reduction

Graduation projects at UiPath Process Mining

Dynamic Graph Visualization using Matrices

Deep learning based 3D facial reconstruction

Visualization of event knowledge graphs for object-centric process mining

Convective heat transfer visualization

Visual Analytics for Unsupervised Learning for Patient-Ventilator Asynchrony (PVA) detection

Assigned Projects (23)

Continuous representations of diffusion MRIDec 2025

Data-Driven Dimensionality Reduction and Interpretation of Diffusion MRI Signals in Healthy and Tumor-Affected Brain TissueNov 2025

From MRI to CT-Like Visualization: Enhancing Volume Rendering Through Segmentation and Deep Learning SynthesisNov 2025

Accelerated Diffusion MRI tractographyNov 2025

Gamification of Visual Analytics EducationNov 2025

Interactive Data Exploration in Healthcare Using a Local NL2Vis ApproachNov 2025

Bringing Brain Surgery Images to Life in 3DSep 2025

Explainable AI for Event and Time Series Data to Understand Neonatal Sepsis Predictions in Collaboration with the HospitalAug 2025

Visualization of Events in the Space-time CubeApr 2025

A Framework for Explainable Graph DrawingMar 2025

Resource perspective visualizationDec 2024

Data-based visual grouping and comparison of playersDec 2024

Diffusion-aware Temporal Network Layout and VisualizationNov 2024

Continuous-time graph drawing using WebGLNov 2024

Contact models for simulating granular materialsSep 2024

Visualization and layout of architecture/design diagrams {using UML}Sep 2024

Local Geometry Extraction from Tactile InputJun 2024

Visual analytics & explainable AI for deep image-to-image translation modelsNov 2023

Data-driven Interactive Genealogy Tree ConstructionNov 2023

Visual Recommender System for Flagging Features of Interest in Large Genomic AlignmentsSep 2023

Visualization for criminal investigationsSep 2023

Visual Analytics for Percutaneous Coronary InterventionsNov 2022

Visual Analytics for Machine LearningNov 2022

Finished Projects (145)

Photorealistic rendering of the human brainNov 2025

Schema-centered knowledge graph visualization and visual queryingNov 2025

Visualization of Large Wafer DatasetsNov 2025

Modeling and visualizing diffusion MRI dataNov 2025

Visualization of Event Sequence DataSep 2025

Feature selection and ranking for Radiogenomics model of prostate cancerSep 2025

Visual analytics for the Analysis of PangenomesSep 2025

Visualization for troubleshooting CSV filesSep 2025

Dimensionality Reduction of Large Semiconductor Production Test DatasetsAug 2025

Exploration and Analysis of Hypnodensity Sleep DataJul 2025

Using Knowledge Graphs and Visualization to Support the Comparison and Combination of Code-based Data Analytical SolutionsJun 2025

Going from raw data to meaningful and personalized multivariate eventsJun 2025

Path-Centric Analysis and Visualization of Dynamic NetworksMay 2025

Brain Tract Estimation via Cortical Folding SimulationsApr 2025

Anomaly detection of white matter pathways using deep learningApr 2025

VAE-Driven Boundary Sampling for more informative Decision Boundary VisualizationMar 2025

Enhancing Sequence Tube Maps for Pangenome Graph VisualizationMar 2025

Visual Analytics for Symbolic Pattern Search in Time SeriesDec 2024

Visual scalability of a pangenome variant analysis designDec 2024

Brain as a Dynamic Network Visualization: Can We See the Parts Affected by Depression?Dec 2024

An illustrative and interactive timeline of Van Gogh’s painting materialsDec 2024

Developing and Optimizing Deep Learning Detection Algorithms for Medical Applications with Visual AnalyticsNov 2024

Privacy protection in photos for social networksNov 2024

The Tesseract Linear-non-linear Dimensionality Reduction Method and a Suitable Visual Metaphor for its ExplorationNov 2024

Data-Aware Dimensionality ReductionNov 2024

Visualization of CathLab dataOct 2024

On the Use of Relevance Feedback and Visual Representations to Help in Classifying Multimedia InformationOct 2024

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