Principal Investigators
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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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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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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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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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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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I teach Advanced Graphics and Optimization & Vectorization at Utrecht University, and perform research towards ray tracing and path tracing for games. My work is rooted in a background in game development, with a focus on efficient code for CPUs and GPUs and practical applicability of ideas, in collaboration with students and the industry.
