Master projects
Here we list the current open, running and finished master projects at the visualization cluster. Running and finished projects can inspire you on interesting directions for your master thesis. If you are interested in a listed project contact the corresponding supervisor. If you have another topic or are uncertain on what to take, contact Huub van de Wetering.
Open Projects (15)
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Visualization of Events in the Space-time Cube
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. …
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Alessio Arleo
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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. …
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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 -
Visual Recommender System for Flagging Features of Interest in Large Genomic Alignments
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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Diffusion-aware Temporal Network Layout and Visualization
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 …
Alessio Arleo
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Fernando Paulovich
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Visualization of paths from factual to counterfactual
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. …
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Stef van den Elzen
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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 …
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Stef van den Elzen
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Deep Learning and AI for LIDAR vs IFC consistency in BIM analysis
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.During the building phase it is …
Andrei Jalba
More infoKKKubus -
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 -
Compare inner working of neural networks.
With different initialization methods [1] or pruning strategies [2], we can derive various neural networks (NNs) of the same architecture but different weights. Previous work generally focuses on exploring the performance and structure difference of NNs [3]. However, this is insufficient to explain behaviors …
Anna Vilanova
More info
Linhao Meng
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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
More infoSTSimona Turco (BM/d EE) -
On Duplicating Data Points to Reduce the Hubness Impact on Dimensionality Reduction Layouts
In high-dimensional spaces, one intriguing property is that some data instances are among the k nearest neighbors of most (or all) other instances. This effect is known as data hubness, and the general effect is connecting unrelated manifolds or neighborhoods. While hubness reduction is …
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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 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 …
Stef van den Elzen
More infoRSdr.ir. Roeland Scheepens (UiPath) -
Visual Analytics for comparison of mitosis detection models
Recently, A group of researchers including Mitko Veta (BMT) has organized the Mitosis Domain Generalization (MIDOG) challenge (more information here and here). The goal of the challenge was to assess the performance of algorithms for mitosis detection in histopathology images on both seen (available …
Anna Vilanova
More infoMVMitko Veta (BMT) -
Visualization and layout of architecture/design diagrams {using UML}
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
Assigned Projects (34)
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Going from raw data to meaningful and personalized multivariate eventsFeb 2024
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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Enhancing Sequence Tube Maps for Pangenome Graph VisualizationFeb 2024
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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Developing and Optimizing Deep Learning Detection Algorithms for Medical Applications with Visual AnalyticsJan 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 …
Andreea Popa
Anna Vilanova
More info
Vidya Prasad
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Feature selection and ranking for Radiogenomics model of prostate cancerDec 2023
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
More info
Linhao Meng
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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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Brain as a Dynamic Network Visualization: Can We See the Parts Affected by Depression?Nov 2023
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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Visualization for troubleshooting CSV filesNov 2023
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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Path-Centric Analysis and Visualization of Dynamic NetworksNov 2023
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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Visualization, detection and assessement of cracks in paintings by Vincent van GoghNov 2023
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) -
Deep Learning and AI for BIM Clash ClassificationNov 2023
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 -
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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Data-Aware Dimensionality ReductionNov 2023
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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Using Knowledge Graphs and Visualization to Support the Comparison and Combination of Code-based Data Analytical SolutionsNov 2023
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
More info
Leonardo Christino
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On the Use of Relevance Feedback and Visual Representations to Help in Classifying Multimedia InformationNov 2023
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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The Tesseract Linear-non-linear Dimensionality Reduction Method and a Suitable Visual Metaphor for its ExplorationNov 2023
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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An illustrative and interactive timeline of Van Gogh’s painting materialsNov 2023
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) -
Anomaly detection of white matter pathways using deep learningNov 2023
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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Adaptive Core Streamline Definition in Diffusion MRI TractographyNov 2023
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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Dimensionality reduction of white matter tractsNov 2023
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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Interactive Process DiscoverySep 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 …
WHWouter van der HeijdenMore info
Stef van den Elzen
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Visualization of CathLab dataSep 2023
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, …
Sjoerd Koop
Anna Vilanova
More infoKVKirsten Maas, Amy Vermeer (CZE) -
Visualization of Streaming Event SequencesSep 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 …
SWSietske Wijffels
Sanne van der Linden
More info
Stef van den Elzen
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Web-Based Visualization Tool for Diffusion MRI TractographySep 2023
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 tractJul 2023
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
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Tom Hendriks
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Glyph visualization & animation for diffusion MRIJun 2023
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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Visual scalability of a pangenome variant analysis designJun 2023
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 …
Kjell Weijts
Huub van de Wetering
More info
Astrid van den Brandt
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Visual Analysis of early identification of diseases and associated complications in premature infantsMay 2023
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 -
Ambiguous Orientation Estimation of Objects in RGB ImagesMay 2023
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 …
Thimo Ferede
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Andrei Jalba
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Privacy protection in photos for social networksJan 2023
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 …
Georgi Kostov
Andrei Jalba
More infoNZNicola Zannone -
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 the Analysis of PangenomesNov 2022
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 of Event Sequence DataNov 2022
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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Interactive Visualization for Interpretable Machine LearningNov 2022
Master project with Dennis Collaris. With the availability of large amounts of data, Machine Learning is getting more and more relevant for businesses. It allows them to make sense of their data and make predictions about new unseen data. Lots of recent advancements in the …
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Dennis Collaris
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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 (107)
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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
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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 …
SLSanne van der LindenMore info
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 …
RRRutger Rauws
Anna Vilanova
More info
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 …
JXJinfan Xu
Huub van de Wetering
More info
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 …
BBBas BlomMore info
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 …
AVAanchal VazirMore info
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 …
MMMarc Meijer
Andrei Jalba
More infoASA. Saccon -
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 …
PBPriyanka Bhaskar
Anna Vilanova
More info
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 …
ZFZirui FengMore info
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 …
WBWilco BrouwerMore info
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 …
ASArjun SangitraoMore info
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 …
JWJoep WijnhovenMore info
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 …
SSSanders, S.
Andrei Jalba
More info
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 …
XWXiaowei WangMore info
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 …
TBTeun Bosch
Andrei Jalba
More infoHSHenk Nijmeijer, Alessandro Saccon