In many aspects of our modern lives we face the problem of having to make sense of large amounts of data. This applies to scientists trying to make sense of their experiments and simulations, to bankers and traders trying to understand the dynamics of the financial markets, and to large enterprises which need to understand the principles behind demand and supply—to name just a few examples. The basic problem in all these cases is that people need to identify important and/or unexpected features in large simulated or captured datasets. Visualization is the domain that facilitates this process of sense-making by dramatically simplifying the process of obtaining an understanding of the data—by representing data visually and thus amplifying people’s cognition. This inherent capability of (good) visualization techniques to amplify human cognition, however, is no longer enough to be able to make sense of today’s huge datasets. To be able to see the essential aspects we need dedicated mechanisms that abstract away the (unnecessary) detail to, in turn, allow the user of the visualization to focus on the important elements. The crucial problem in this context is that it is impossible to know what is important and what is not in a general way—importance changes based on the research question, on the application domain, on the data size, on the user, on the specific situation, etc. Visualization technology therefore needs to support dynamic change of visual abstraction of the data to reflect these contextual changes. The fundamental research challenge in visualization for us is to get an understanding of what (visual) abstraction really is, what it means, how it can be controlled, and how it is, can be, and should be used in visualization.

Funding

  • FWF I 2953-N31

Research Areas

  • In this research area, we develop new visualization techniques to support biologists in data analysis and create visualizations to disseminate scientific discoveries in biology.
  • In this research area, we develop rendering methods that are inspired by scientific illustrations, in order to make complex biological information more intuitive to understand and more pleasant to read.

Publications

11 Publications found:
Image Bib Reference Publication Type
2020
Elisa De Llano, Haichao Miao, Yasaman Ahmadi, Armanda J Wilson, Morgan Beeby, Ivan ViolaORCID iD, Ivan Barisic
Adenita: interactive 3D modelling and visualization of DNA nanostructures
Nucleic Acids Research, July 2020.
Journal Paper (without talk)
Sarkis Halladjian, Haichao Miao, David Kouřil, Eduard GröllerORCID iD, Ivan ViolaORCID iD, Tobias Isenberg
ScaleTrotter: Illustrative Visual Travels Across Negative Scales
IEEE Transactions on Visualization and Computer Graphics, 26(1), January 2020. [paper]
Journal Paper with Conference Talk
2019
Haichao Miao, Elisa De Llano, Ivan ViolaORCID iD, Ivan Barisic
Interactive Visual Analysis for the Design of DNA Nanostructures
Poster shown at NANTECH 2019 – Nucleic Acid Nanotechnology: From Algorithmic Design to Biochemical Applications – Espoo, Finland (27. May 2019-29. May 2019)
Poster
David Kouřil, Ladislav Čmolík, Barbora Kozlikova, Hsiang-Yun WuORCID iD, Graham Johnson, David Goodsell, Arthur Olson, Eduard GröllerORCID iD, Ivan ViolaORCID iD
Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments
IEEE Transactions on Visualization and Computer Graphics, 25:977-986, January 2019. [LoL-conference-presentation] [paper] [Conference Talk Recording]
Journal Paper with Conference Talk
2018
Elisa De Llano, Haichao Miao, Tobias Isenberg, Eduard GröllerORCID iD, Ivan ViolaORCID iD, Ivan Barisic
A Preview to Adenita: Visualization and Modeling of DNA Nanostructures
Poster shown at 3rd Functional DNA Nanotechnology Workshop ( 6. June 2018- 8. June 2018)
Poster
Haichao Miao, Elisa De Llano, Tobias Isenberg, Eduard GröllerORCID iD, Ivan Barisic, Ivan ViolaORCID iD
DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures
Computer Graphics Forum, 37(3), June 2018. [Paper]
Journal Paper with Conference Talk
Haichao Miao, Elisa De Llano, Johannes Sorger, Yasaman Ahmadi, Tadija Kekic, Tobias Isenberg, Eduard GröllerORCID iD, Ivan Barisic, Ivan ViolaORCID iD
Multiscale Visualization and Scale-adaptive Modification of DNA Nanostructures
IEEE Transactions on Visualization and Computer Graphics, 24(1), January 2018. [paper]
Journal Paper with Conference Talk
Kai Lawonn, Ivan ViolaORCID iD, Bernhard Preim, Tobias Isenberg
A Survey of Surface-Based Illustrative Rendering for Visualization
Computer Graphics Forum, (NN), 2018.
Journal Paper (without talk)
2017
Haichao Miao
Visual Abstraction and Modeling in DNA Nanotechnology, 14. December 2017, King Abdullah University of Science and Technology, Saudi Arabia
Invited Talk
Ivan ViolaORCID iD, Tobias Isenberg
Pondering the Concept of Abstraction in (Illustrative) Visualization
IEEE Transactions on Visualization and Computer Graphics, (99), September 2017.
Journal Paper with Conference Talk
Haichao Miao
Visualization and Modeling in DNA Nanotechnology, April 2017, Inria, Grenoble, France
Invited Talk
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