Supervised Students

Here is a list of works of selected students I (have) supervise(d).

Postdoc Students (current, former)

• Yalan Zhang. Non-Newtonian fluid simulation (with prof. Jiri Kosinka, SVCG-RUG)
• Zizhao Wu. Skeleton-based shape analysis (until 2019; with prof. Jiri Kosinka, SVCG-RUG)
• Xiaokun Wang. Physically-based fluid-solid phase transition animation (until 2020; with prof. Jiri Kosinka, SVCG-RUG)
• Lingyun Yu. Interaction techniques for scientific visualization (until 2019, SVCG-RUG)

PhD Students (current)

• Jiamin Wang (data/model-driven differentiable fluid simulation; with prof. Jiri Kosinka, SVCG-RUG)
• Yanrui Xu (realistic fluid simulation; with prof. Jiri Kosinka, SVCG-RUG)
• Yu Wang (decision boundary maps for machine learning)
• Victor Stenvers (perceptual graphics)
• Emre Oral (visualization for decision making)
• Alister Machado (visual quality metrics)
• Simon van Wageningen (algorithms for network visualization)
• Yuncong Yu (visual analytics for multivariate time series)
• Jiao Jiao (visual analytics for energy smart buildings)
• Barbara Benato (visual active learning, with prof. A. Falcao, UNICAMP)
• Rahul Gannamani (visual analytics for motion disorders, with prof. M. de Koning-Tijssen, UMCG)

PhD Students (defended)

• Zonglin Tian Explaining Projections of High-Dimensional Data (2023)
• Youngjoo Kim Visual exploration of high-dimensional data using dimensionality reduction (with applications in astronomy) (2023)
• Xiaorui Zhai Exploring and Explaining 3D Data Representations (2022)
• Jieying Wang Dense Medial Descriptors for Image Compression and Manipulation (2022)
• Eduardo Vernier Visualization of Multidimensional and Hierarchical Datasets (2022)
• Gerben Hettinga Arbitrary Topology Meshes in Geometric Design and Vector Graphics (2021)
• Xingyu Chen Analysis and Exploration of Large 3D Shape Databases (2021)
• Mateus Espadoto Learning Multidimensional Projections with Neural Networks (2021)
• Honglin Yuan A 3D photo-realistic environment simulator for mobile robots (2021)
• Samuel Martins Unsupervised Brain Anomaly Detection in MR Images (2020)
• Caio Rodrigues Visual Analytics for Machine Learning - Computing and Leveraging Decision Boundary Maps (2020)
• Lucas Pagliosa Exploring Chaotic Time Series and Phase Spaces - From Dynamical Systems to Visual Analytics (2020)
• Matthew van der Zwan Visual Analytics of Multidimensional Time-Dependent Trails with Applications in Shape Tracking (2018)
• Paulo E. Rauber Visual Analytics Applied to Image Analysis (2017)
• Cong Feng Shape Segmentation and Retrieval based on the Skeleton Cut Space (2017)
• Rafael M. Martins Explanatory Visualization of Multidimensional Projections (2016)
• Danilo B. Coimbra Multidimensional Projections for the Visual Exploration of Multimedia Data (2016)
• Renato R. da Silva Visualizing Multidimensional Data Similarities - Improvements and Applications (2016)
• Andre Sobiecki Skeletonization Methods for Image and Volume Inpainting (2016)
• Jacek Kustra Medial Descriptors for 3D Shape Segmentation, Reconstruction, and Analysis (2015)
• Bertjan Broeksema The Decision Exploration Lab - Supporting the business analyst in understanding automated decisions (2014)
• Ozan Ersoy Image Based Graph Visualization (2013)
• Mariam Sensalire A Framework to Evaluate the Effectiveness of Software Visualization Tools in Maintenance Activities (2009)
• George Byelas Visualization of Metrics and Areas of Interest on Software Architecture Diagrams (2009)
• Dennie Reniers Skeletonization and Segmentation of Binary Voxel Shapes (2009)
• Lucian Voinea Software Evolution Visualization (2007)

MSc Students (graduated, selection)

• C. Grosu Decision Boundary Maps for Supporting User-Driven Pseudo-labeling (2023)
• W. Castelein A viewpoint-driven comparison of 3D versus 2D projections of high-dimensional data (2022)
• J. Thijssen Interactive explanation of high-dimensional data projections (2022)
• C. Bredius Visual exploration of the generalization of neural network projections (2021)
• F. Libardi An End to End Deep Learning Approach to Remote Heart Rate Estimation Through Spatial Temporal Representation (2021)
• G. van Steenpaal Augmenting Reduction Plots with Localized Explanations (2021)
• D. Renders Dense skeletons for corner detection (2021)
• T. S. Modrakowski Visual Analytics for Improving Deep Learning Multidimensional Projections (2020)
• S. Bouma DTI Fiber Tract Simplification and Visualization (2018)
• M. L. Terpstra Dense Skeletons for Image Compression and Manipulation (2017)
• J. Kruiger Graph Layouts by t-Distributed Stochastic Neighbor Embedding (2016)
• K. L. Winter DimRedPlot: A Generic Visualisation Tool for Dimensionality Reduced Data (2016)
• H. R. Schubert Salient edge preserving noise removal using surface skeletons (2016)
• J. Koehoorn Shape Segmentation for Mesh-Based 3D Models: Unifying Part- and Patch-type Approaches (2016)
• S. Feringa Comparison of Features used in Automatic Skin Lesion Classification (2015)
• S. Groenewold Visualising large scale temporal geospatial multivariate graphs in a web-based environment (2015)
• M. Hofstra Multiscale Importance Metrics for Robust Skeletonization of 2D and 3D Shapes (2015)
• A. Hanjalic Visualizing Software Evolution with Code Clones (2014)
• T. Klein Real Time Multiscale Visualization of Flight Data (2014)
• J. van der Geest, M. Ettema Een toekomstgericht testplatform voor Dienst Uitvoering Onderwijs (2012)
• Y. Meiburg Dense-Field Skeleton-Based Image Representations (2011)
• B. Broeksema A Visual Tool-Based Approach to Porting C++ Code (2010)
• L. Kwakman Automatically Reducing Code Duplication (2010)
• H. Hoogendorp Extraction and Visual Exploration of Call Graphs for Large Software Systems (2010)
• F. Boerboom, A. Janssen Fact Extraction, Querying and Visualization of Large C++ Code Bases - Design and Implementation (2006)
• S. Moreta Visualizing Time-Dependent Software Artifacts (2006)
• G.L.P.M. Lommerse Code Structure Visualization (2005)
• M. A. Termeer Constructive Solid Geometry and Volume Rendering (2005)

BSc Students (graduated, selection)

• C. Govers Validating Visual Separation Metric Kappa: A User Study Questionnaire (2023)
• F. Westers A GPU implementation of the 1D and 2D Conservation Element / Solution Element scheme (2017)
• D. van Driel Automatic visualized explanations of multidimensional projections (2017)
• J. Koehoorn Software evolution analysis for Team Foundation Server (2013)
• C. Arnoldus Fast and Robust Extraction of Curve Skeletons from Voxel Models (2012)