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Christian Tominski
apl. Prof. Dr.-Ing. habil.
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About

Christian is a researcher at the Institute for Visual & Analytic Computing at the University of Rostock, Germany. He received his doctorate (Dr.-Ing.) and habilitation (Dr.-Ing. habil.) in 2006 and 2015, respectively. In 2021, he was awarded the title of Professor (apl. Prof.) of Human-Data Interaction. Christian's research is mainly in the area of visualization and visual analytics, with a special focus on interaction with visual data representations. He is particularly interested in effective and efficient methods and techniques for the visual and interactive exploration and analysis of complex data. Christian has published numerous papers on new visualization and interaction techniques for multivariate data, temporal data, geo-spatial data, and graph data. He has co-authored three books, including a book on the visualization of time-oriented data in 2011 (second edition in 2023), a book focusing on interaction for visualization in 2015, and a textbook on interactive visual data analysis in 2020. Christian has developed several visual analytics systems and tools and maintains the TimeViz Browser, an interactive catalog of visualization techniques for time-oriented data.

Research Interests

Visualization
  • Multi-variate data visualization, time-series visualization, geo-visualization, visualization of movement data, graph visualization
  • Coordinated multiple-views visualization
  • Visualization on interactive displays and large high-resolution displays
Interaction
  • Interaction for visual data analysis
  • Interactive lenses
  • Interactive visual comparison
  • Navigation and exploration techniques
  • Guidance for visual analytics
Computation
  • Analytic support for interactive exploration
  • Efficient algorithms and data structures for visualization
  • Asynchronous progressive computation

Awards

Recent talks

Professional Activities

University and Memberships
  • Elected member of the faculty council
  • Member of the GI Visualization special interest group
  • Member of the INFO.RO association
  • Former interim head of the chair of Visual Analytics
  • Former interim head of the chair of Computer Graphics
Editor, Chair, and Organizer
  • Co-Organizer Dagstuhl Seminar 25152 on Multi-Faceted Visual Process Mining and Analytics, 2025
  • Short Papers Co-Chair for EuroVis, 2024, 2025
  • Symposium HS.2020, 2020
  • Guest-Editor Special Section on Visual Analytics in The Visual Computer, 2018
  • Workshop Co-Chair EuroVis Workshop on Visual Analytics (EuroVA), 2017, 2018
  • Organizer Special Track Interactive Visualization in Novel and Heterogeneous Display Environments at the International Symposium on Visual Computing (ISVC), 2011
Committees
  • Eurographics Conference on Visualization (EuroVis)
  • EuroVis State-of-the-Art Reports (EuroVis STAR)
  • EuroVis Workshop on Visual Analytics (EuroVA)
  • IEEE Visualization & Visual Analytics (VIS)
  • IEEE Information Visualization (InfoVis)
  • IEEE Visual Analytics Science and Technology (VAST)
  • IEEE Working Conference on Software Visualization (VISSOFT)
  • International Symposium on Vision, Modeling and Visualization (VMV)
  • International Symposium on Graph Drawing (GD)
  • International Conference on Information Visualization Theory and Applications (IVAPP)
  • International Workshop on Big Data Visual Exploration and Analytics (BigVis)
  • ITS Workshop on Visual Data Exploration on Interactive Surfaces (DEXIS)
Reviewing
  • Journals: Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Information Visualization, Computers & Graphics, Computer Graphics and Applications, Transactions on Computer-Human Interaction, International Journal on Geographical Information Science, Cartographic Journal, Software: Practice and Experience, Information Systems, Interacting with Computers, Journal of Imaging Sciences and Technology, Informatics, Behavior & Information Technology
  • Conferences and workshops: VIS, EuroVis, CHI, EuroVA, PacificVis, UIST, IV, VIPRA, BigVis, SIGRAD, VAKD, GeoVA(t), GeoViz
  • Research foundations: ANR (France), BW Stiftung (Germany), DFG (Germany), NSERC (Canada), NWO (The Netherlands), WWTF (Austria)
  • Publishers: CRC Press, Morgan & Claypool

Books

Visualization of Time-Oriented Data, Second Edition
W. Aigner, S. Miksch, H. Schumann, C. Tominski, Springer, 2023
Building on the success of the first edition, the second edition of the book Visualization of Time-Oriented Data comprehensively highlights current visualization methods as well as approaches to interaction and computational analysis. The book is available under an open-access license.
Interactive Visual Data Analysis
C. Tominski and H. Schumann, A K Peters Visualization Series, CRC Press, 2020
In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.
Interaction for Visualization
C. Tominski, Synthesis Lectures on Visualization, No. 3, Morgan & Claypool, 2015
The goal of Interaction for Visualization is to strengthen the interaction side of visualization. Based on a review of general aspects of interaction, the book develops an interaction-oriented view on visualization. This view comprises five key aspects: the data, the tasks, the technology, the human, and the implementation.
Visualization of Time-Oriented Data
W. Aigner, S. Miksch, H. Schumann, C. Tominski, Springer, 2011
Time is an exceptional dimension. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future. Visualization of Time-Oriented Data addresses the distinct characteristics of time and presents appropriate visual and analytical methods to explore and analyze time-oriented data.

Teaching

Student Information

I provide advice for students on how to engage in student projects and theses in the "Student How To" guide. Reading it is highly recommended.

Courses
  • Bachelor Level
    • Visual Data Science
    • Algorithms and Data Structures
Topics for Projects and Theses

If you are interested in a project or thesis, take a look at the following topics, which give you a basic idea of what types of research can be done. It is strongly recommended that you have attended our lectures on data science, visualization, visual analytics, and/or human-data interaction before engaging in a project or thesis. Details will always be discussed to align interests and requirements.

  • Morphing between VisualizationsMA
  • Insight Transferability across Multi-View VisualizationsMA
  • Task-Based Animated Transitions of VisualizationsMA
  • Partial Animated Transitions for Visualization NestingMA
  • Exploring Next-Generation Sequencing Data in VRMA
  • Visual Analytics of Large Streaming AIS DataMA
  • Natural Language Interaction for VR Data ExplorationMA
  • Automatic Labeling for SVG VisualizationsMA
  • Evaluating Label Placement for Zoomable Graph VisualizationMA
  • Sub-Space Aggregations via Interactive LensesMA
  • WebGL Framework for Axes-based VisualizationBA
  • Multi-Touch Interaction for Axes-based VisualizationBA
  • Labeling Choropleth MapsBA, SP
  • Interactive Volume Lenses in VRSP
  • Coping with Overplotting in Scatter PlotsLP
  • Multi-Modal Interaction for VisualizationLP
    MA = Master thesis, BA = Bachelor thesis, SP = Software project, LP = Literature project

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      Projects

      JavaScript
      Java
      C#
      Abandoned

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