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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
More infoMMMaxima MMC -
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 …
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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
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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
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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
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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
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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
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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 …
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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
More infoKKKUBUS -
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 …
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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
More infoRSdr.ir. Roeland Scheepens (UiPath) -
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. …
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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
More infoRIRonnie Edavattathu -- InnoFaith -
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 …
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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
More infoMSMichel Speetjens -
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
More infoSTSimona Turco (BM/d EE)
Assigned Projects (23)
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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. …
NVNatasha Vonk
Maxime Chamberland
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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 …
JWJasper Wilfling
Maxime Chamberland
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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, …
LALlodio Martinez, ArantzaMore info
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 …
ZDZitong Di
Ruben Vink
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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 …
FWFaye van Wijngaarden
Fernando Paulovich
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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 …
RRReuben Philip RoyMore info
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 …
ZZZichuan Zhang
Maxime Chamberland
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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
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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. …
CEClinton Emok
Alessio Arleo
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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 …
JTJarno van Tilt
Alessio Arleo
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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, …
KVKay VerbruggenMore info
Huub van de Wetering
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Data-based visual grouping and comparison of playersDec 2024
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JRJip van Rooij
Huub van de Wetering
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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 …
ŞBŞeyhun, Barış
Alessio Arleo
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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: …
GLGuangyu LiMore info
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 …
DRDaniel van Rijswijk
Andrei Jalba
More infoCSClaude Lacoursière, TU/e, Algoryx Simulation -
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
More infoMCprof.dr. Michel Chaudron -
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
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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
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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 …
BBBerend van BeekMore info
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
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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, …
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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 …
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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 …
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Linhao Meng
Finished Projects (145)
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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 …
RRRenée Rulkens
Maxime Chamberland
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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 …
IWIan van de Wetering
Kay Roggenbuck
More info
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 …
AEAngelos Erotokritou
Stef van den Elzen
More infoPCPaul van der Corput (ASML) -
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 …
HPHoria Pivniceru
Maxime Chamberland
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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 …
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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 …
HKHilke Kroes
Anna Vilanova
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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 …
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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 …
OAOula Osman AbouMore info
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 …
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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, …
NBNora Bouwman
Stef van den Elzen
More infoMGMerel van Gilst (EE & Kempenhaeghe) -
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 …
MGMarlou Gielen
Fernando Paulovich
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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 …
RLRianne van der Leeuw
Fernando Paulovich
More info
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 …
SWSam van de WeyerMore info
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, …
BOBesm Osman
Maxime Chamberland
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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 …
AJAdil Jahouh
Maxime Chamberland
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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 …
IBImke BloemenMore info
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 …
JGJasper Geelen
Huub van de Wetering
More info
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 …
IDIona Donaldson
Fernando Paulovich
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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 …
KWKjell Weijts
Huub van de Wetering
More info
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 …
TOTim Htet Yan Oo
Stef van den Elzen
More info
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 …
EBEmmie Bessems
Huub van de Wetering
More infoVEVan Gogh museum (Ana Martins) / Rijksdienst voor het Cultureel Erfgoed (Muriel Geldof) -
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 …
APAndreea Popa
Anna Vilanova
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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 …
GKGeorgi Kostov
Andrei Jalba
More infoNZNicola Zannone -
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 …
YHYaron Heerkens
Fernando Paulovich
More info
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) …
DHDiede van der HoornMore info
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, …
SKSjoerd Koop
Anna Vilanova
More infoKVKirsten Maas, Amy Vermeer (CZE) -
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 …
EKElian KlaassenMore info
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 …
PBPatrick Bastiaanssen
Anna Vilanova
More infoAMASML (Lars Maxfield) / van Gogh museum (Ana Martins) -
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 …
PZPaul ZelinaMore info
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 …
OROana Radu
Andrei Jalba
More infoKKKubus -
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 …
TLTeodor LunguMore info
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 …
TVTudor Voicu
Maxime Chamberland
More info
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 …
MLMiriam Laamoumi
Maxime Chamberland
More info
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 …
YSYouming Shan
Anna Vilanova
More infoCCCarola van Pul - Maxima Medical Center -
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 …
WHWouter van der HeijdenMore info
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 …
MJMattijs Jansen
Maxime Chamberland
More info
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 …
SWSietske Wijffels
Sanne van der Linden
More info
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 …
TFThimo FeredeMore info
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 …
JLJeroen 't LamMore info
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) …
JLJoey LensenMore info
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 …
MEMerel Eikens
Huub van de Wetering
More infoDBDennis Brons (UIPath) -
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, …
DCDelorean CanlonMore info
Fernando Paulovich
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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 …
TCThiam Wai Chua
Anna Vilanova
More infoNMNicola Pezzotti, Kirsten Maas -
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 …
PFPaolo FrankenMore info
Fernando Paulovich
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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 …
CSCas SieversMore info
Maxime Chamberland
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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 …
SZSihan Zhu
Anna Vilanova
More infoNPNicola Pezzotti, Vidya Prasad -
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 …
AVAishvarya Viswanathan
Anna Vilanova
More info
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
More infoASAlessandro Saccon (TU/e Mechanical Engineering) -
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 …
SPStefan van der Palen
Andrei Jalba
More infoASAlessandro Saccon (TU/e Mechanical Engineering) -
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 …
DBDominique van Berkum
Anna Vilanova
More infoAMAna Martins (van Gogh Museum) and Lars Maxfield (ASML) -
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 …
SLSem Lommers
Stef van den Elzen
More info
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 …
YOYana Onushkina
Stef van den Elzen
More infoMCMartijn Willemsen / Rianne Conijn (HTI department) -
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.
TKThijs Koenraadt
Huub van de Wetering
More infoIBIon Barosan (SET) -
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 …
SESusan van Ewijk
Stef van den Elzen
More infoDSDirk Fahland (PA) + Roeland Scheepens (UiPath) -
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 …
BLBailiang LiMore info
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 …
GVGerben Vogelaar
Huub van de Wetering
More infoRSRoeland Scheepens (UiPath) -
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. …
BHBart HofmansMore info
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 …
CNClaudiu-Teodor Nohai
Anna Vilanova
More infoNPNicola Pezzotti, Vidya Prasad -
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 …
YHYouri Haenen
Stef van den Elzen
More info
Sanne van der Linden
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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 …
MNMartijn Noordhof
Stef van den Elzen
More infoJEJan-Willem van Essen (Baker Tilly) -
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 …
JPJoris Peters
Stef van den Elzen
More infoMCprof.dr. Michel Chaudron -
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 …
EFEvie de Fouw
Anna Vilanova
More infoFLFernando Paulovich, Sanne van der Linden -
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. …
CLChicheng Liu
Anna Vilanova
More infoLCLinhao Meng, Dennis Collaris -
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 …
More info
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 …
More info
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 …
More info
Andrei Jalba
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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. …
AVAlina Vorobiova
Anna Vilanova
More infoSPSantiago Ruiz Zapat, Floris Hoogenboom, Vidya Prasad -
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 …
WRWies RuytersMore info
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 …
TBTijn Bertens
Andrei Jalba
More infoASAlessandro Saccon (Mechanical Engineering) -
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 …
JMJon Maessen
Robert van Liere
More info
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 …
KTKy-Anh Tran
Anna Vilanova
More infoCPCarola van Pul (MMC) -
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 …
TTTomas Tombakas
Anna Vilanova
More infoOPOdisseas Papapetrou -
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 …
MPMerel PennekampMore info
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. …
XZXin ZhaoMore info
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 …
MTMark TiemersmaMore info
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 …
JDJonne Deurloo
Stef van den Elzen
More infoRSdr.ir. Roeland Scheepens (UiPath) -
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 …
NMNol MoonenMore info
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 …
KMKirsten Maas
Anna Vilanova
More infoNMNicola Pezzotti and Dimitrios Mavroeidis -
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 …
ASAnne Smets
Anna Vilanova
More infoHOHumberto Garcia and Sebastian Overeem -
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 …
CVCas VerploegenMore info
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
More info
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 …
CWCaspar van der Woerd
Stef van den Elzen
More infoDODr. Pedro Fonseca and Prof. dr. Sebastiaan Overeem -
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 …
JSJob SavelsbergMore info
Jack van Wijk
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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.
SWShixiong Wang
Huub van de Wetering
More info
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 …
CCCengizhan CanMore info
Huub van de Wetering