Postdocs (current and former)

• Shivam Agarwal (ASML, NL). Visual analytics for explainable AI (until 2025; with Prof. Dr. Alexandru C. Telea)

PhD Students (current)

• Martina Dossi (NWO VR4eVR; visual analytics for hemianopsia revalidation data; with Prof. Dr. Alexandru C. Telea and Dr. Tanja Nijboer)

• Matheus Cerqueira (Visual analytics for machine learning; with Prof. Dr. Alexandre Falcão, UNICAMP, and Prof. Dr. Alexandru C. Telea)

Research Assistants (current)

• Georgios Eleftheriadis (Living Foams; with Dr. Jasper Landman)

• Stefan Leon (PRIONOMICS; student research assistant; with Prof. Dr. Sanne Abeln)

• Nikolay Georgiev (student research assistant; with Dr. Daan Kolkman and in collaboration with The Big Data Company)

MSc Students (current)

• Matean Hendrix (ASML)

• Chang He (Sopra Steria)

• Abhinand Guduru (UP Digital)

• Yating Qu (AI Technology for Life, UU)

• Ge Li (University of Amsterdam and UU)

• Foca Bogdan (University of Arizona)

• Roemer Schwaanhuyser (Albert Heijn)

• Khai-Tam Nguyen (Cyclomedia)

• Lucas Knook (NLR)

• Binxu Jiang (TU/e, WUR, and UU)

• Daan Westland

MSc Students (graduated)

• Sean Cutajar (2026). Data-Driven Generation of 3D Worlds Reflecting Data Characteristics

• Artur Salek (2026). Learning Transformers through Play: Evaluating Gamified Visual Metaphors as an Educational Tool

• Mohammed Bashabeeb (2026; Cyclomedia). Corroborated FRANQ: Dual-Branch Confirmation for Uncertainty Quantification in Long-Form RAG Across One- and Multi-Shot Generation

• Lauma Ernestsone (2026; ADS). Reconstructing an Embargo Breach in a Multi-Agent Corporate Communications System Using Visual Analytics

• Rients Dotinga (2026; ADS). Visual Analytics for Multi-Agent Event Logs

• Giovanny Ramlakhan (2026; ADS). Visual Analytics for Detecting Information Leakage in Multi-Agent Communication Systems

• Kiron Putman (2026; ADS). The 2026 VAST Mini-Challenge 2

• Hana Šinković (2026). Interactive Visualization for Exploratory Decision-Making: A Case Study of Baldur's Gate 3

• Vasco Fabiani (2026; TU/e, WUR, UU, UMC Utrecht). Design and Evaluation of a Digital Mental Health Platform Featuring a Gamified Virtual Pet for Grief Support

• Xiaoyu Guan (2026). Visual Analytics for Evaluating Reinforcement Learning Policies in Assistive Environments

• Axel Van Buren (2026). Exploration of High-Dimensional Data Using Metaphorical Visualisations in a Game-like Visualisation Environment

• Yoran den Heijer (2026). Serious Sorting: A Serious Game to Learn, Understand, and Explore Different Sorting Algorithms Across Data Types

• Niels Teunissen (2025; Point FWD). FashionUnveil: A Real-Time Framework for Detecting Partially Visible Fashion Items at Airport Security Divest Spots

• Nick Dijkhuizen (2025; Accenture). Human-Centric AI: Enhancing Recruitment Processes Through NLP and Visualization

• Sacha Vucinec (2025; Cyclomedia). Ground Level Propagation: A Novel Moving Object Segmentation Component to Process Ground in Multi-Level Structures

• Yjara Verhagen (2025; ADS). VAST Challenge 2025 M3

• Ceyda Gezgin (2025; ADS). Analyzing Artist Emergence and Influence Through Knowledge Graphs and Predictive Visual Analytics

• Gabriel Canelo Vilaseca (2025; ADS). Institutional Bias and Economic Development: A Data-Driven Reconstruction

• Wouter Ubbink (2025). Beyond the Comfort Zone: Breaking the Status Quo with Visualized Uncertainty

• Babette Scheepers (2025). The Influence of Descriptive Features on Content Selection on OTT Platforms

• Ruikang Xu (2025). Development of an Interactive Visualization Tool for Aggregating Utrecht University's Multivariate Data

• Yilun Chen (2025). Gamifying Neural Network Training: A VR-Based Learning Experience for Beginners

• Ziv Hochman (2025). Multi-Objective Visual Analytics to Develop Sustainable Adaptation Pathways

• Jeroen Schut (2025). Beyond Grids and Carousels: A Honeycomb Layout for Enhanced Exploration in Streaming Services

• Jelle Peperzak (2025). Investigating the Relationship between Perceived Quality of Recommended Content and User Gratifications on OTT Platforms

• Parisa Salmanian (2024). DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine (Linnaeus University; co-supervised with Dr. Rafael M. Martins)

BSc Students (graduated)

• Tun-kit Lin (2025). Evaluating the Effectiveness of Error Bars and Small Multiple Confidence Bands in Conformalized Regression

• Ilya Ploshchik (2023). MetaStackVis: Visually-assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning (Linnaeus University; co-supervised with Prof. Dr. Andreas Kerren)

Alumni

• Ziv Hochman (Research Assistant, November 2025–April 2026)