Principal Investigators
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Michael Behrisch
Assistant Professor for Computer Science
I'm an Assistant Professor in the Visualization and Graphics Group at Utrecht University with a focus on Visual Analytics. In my research, I focus on novel visual interactive techniques, algorithmic approaches, and integrated visual analytics systems to support users in navigating and exploring large amounts of relational, high-dimensional, spatial, or temporal data. One central research objective is, amongst others, to automatically assess the interestingness of visualizations and show only potentially important views from a large exploration space to reduce the users’ cognitive overload.
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Alexandru C. Telea
Professor for Visual Data Analytics
I hold an appointment as full professor in Visual Data Analytics at the Department of Information and Computing Sciences, Utrecht University, where I lead the VIG group. Prior to this, I worked as full professor of Multiscale Visual Analytics in the Scientific Visualization and Computer Graphics (SVCG) group at the Bernoulli Institute, Faculty of Science and Engineering, University of Groningen. My research focuses on (image based) information visualization, multiscale shape processing, and visual analytics for high-dimensional and network data.
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Angelos Chatzimparmpas
Assistant Professor in Visual Computing
Angelos Chatzimparmpas is an Assistant Professor of Computer Science at Utrecht University specializing in Visual Analytics for Explainable AI (XAI). His main research interests include visual exploration of the inner parts and the quality of machine learning (ML) models with a specific focus on making complex ML models better understandable and explainable, as well as providing reliable trust in the ML models and their results. In addition to developing visual analytics systems, Angelos also focuses on model uncertainty quantification, utilizing deep learning architectures for visualization evaluation, and supporting users in detecting AI-generated images (deepfakes).
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Evanthia Dimara
Assistant Professor for Information Visualization & Human-Computer Interaction
I am an assistant professor of Computer Science at Utrecht University specializing in Information Visualization & Human-Computer Interaction. I study decision making -how technology can help people make unbiased and informed decisions alone or in groups. I am especially interested in the kinds of decisions for which the current decision-support systems, models and people's heuristics tend to fail.
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Lynda Hardman
Professor for Multimedia Discourse Interaction
I am a Manager of Research & Strategy and a member of the Human-Centered Data Analytics research group at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, The Netherlands.
My current research includes creating linked-data driven, user-centric applications for exploring information. Currently I am investigating the use of augmented reality for exploring brain regions and related brain diseases through the Linked Brain Data repository representing neuroscience literature. At at higher level, I am interested in user-centric interaction design in the context of developing technologies.
I am the director of Amsterdam Data Science (ADS), a regional ecosystem for data science researchers from academia, industry and government to share ideas, pursue research, and foster talent. I am the European Director of LIAMA, a collaboration between CWI, Inria and the Chinese Academy of Sciences, Institute of Automation.
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Tamara Mchedlidze
Assistant Professor for Computer Science
I am Assistant Professor of Computer Science at Utrecht University. My research interests span multiple issues and methodologies around Network Visualization. I design, theoretically analyze, experimentally and empirically evaluate algorithms for network visualization and investigate their applications in practice, in particular in Humanities. From a theoretical perspective, I study network visualization algorithms with provable guarantees, i.e. algorithms that produce node-link diagrams, for which some quality guarantees can be formally proven. In the experimental part of my research, I attempt to apply general optimization techniques to solve computationally hard network visualization problems. I am also interested in using machine learning approaches to improve network visualization algorithms. In the empirical part of my research, I am investigating how basic principles in cognitive psychology (such as Gestalt rules of perception) translate to network visualization. Finally, in collaboration with Philosophers and Argumentation scientists, I investigate how to model and visualize multidimentional opinion spaces resulting from collection of opinions on large and complex debates.
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Peter Vangorp
Assistant Professor in Computer Graphics
Peter Vangorp is Assistant Professor in the Visualization and Graphics group of the department of Information and Computing Sciences. His research interests are computer graphics, material perception, realistic rendering, and virtual reality.
Realistic material appearance in virtual worlds requires an enormous amount of work at every stage of the typical computer graphics workflow. A user-centric approach is required to focus efforts on how materials are perceived by the end user. The goal of this research is to develop a comprehensive model of the human visual perception of materials. This involves not just physical material characteristics such as color, gloss, texture, transparency, refraction, and translucency, but the whole appearance of the material once it's applied to a shape, illuminated, displayed, and viewed.
Members
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Alister Machado dos Reis
PhD Student
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Bárbara Benato
PhD Student
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Caio Rodrigues
PhD Student
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Başak Oral
PhD Student
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Jiao Jiao
PhD Student
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Jieying Wang
PhD Student
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Samuel Martins
PhD Student
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Simon van Wageningen
PhD Student
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Victor Stenvers
PhD Student
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Xiaorui Zhai
PhD Student
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Xingyu Chen
PhD Student
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Yu Wang
PhD Student
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Yuncong Yu
PhD Student
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Zonglin Tian
PhD Student