15/16 OCTOBER 2020


15/16 OCTOBER 2020

COVID19 Note

Due to the current pandemic the LEVIA will be held as a hybrid event. This means that we aim to realize a physical meeting, but in case conference participants are not allowed to travel or do not feel comfortable with travelling, an online attendance is possible. We are counting on around 20 participants, which falls under the legal restrictions of the state of Saxony. Currently, the number of Covid-19 cases are extremely low and we will organize the conference providing a hygiene concept.


LEipzig symposium on Visualization In Applications (LEVIA) aims at bringing together visualization scholars from all research areas related to visualization. The focus of the symposium is to shed a light on different application areas that enable scientific knowledge discovery with visualizations. The program will be structured along several visualization application areas.



Means of visualization are widely used in diverse application domains to analyze data, to facilitate hypothesis verification and generation, to derive new data, and to discover trends, outliers and data-dependent features. Collaborative aspects between visualization scholars and domain experts as well as design studies and the development of novel visualization techniques that shed a new light on known data objects are in the scope of the symposium. We welcome papers describing original work, i.e. hitherto unpublished scientific or information visualization research. Suggested application domains include, but are not limited to:

  • bioinformatics
  • business and finance
  • digital humanities
  • earth, space, and environmental sciences
  • geovisualization
  • material sciences
  • molecular, biomedical, and medical visualization
  • multimedia visualization (image/video/music)
  • physical sciences and engineering
  • social and information sciences
  • software visualization
  • text visualization
  • urban science
  • visual analytics
  • visualization for the masses

Full Paper Track

Full papers are only accepted in English, they should be carefully checked for correct grammar and spelling, and authors should address one or several application domains of visualization. Papers will be reviewed by at least three experts in the field. Please make sure that submissions do not substantially overlap work that has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings. In such a case, papers will be rejected without reviews. LEVIA calls for papers having a length of 4 to 8 pages (+1 page for references). Accepted papers will receive a long talk slot and will be published on the conference website. In addition, we seek for a second publication realm to increase the visibility of accepted works. More details will be announced soon.

Paper Abstract Track

This year, we will also provide a platform for young researchers in applied visualization, in which they can present their research ideas and PhD topics and discuss them with experts in the field. We welcome abstracts in all application areas of visualization as suggested in the call for papers. Abstracts can be submitted for the following purposes:

  • discussion of a project/research idea
  • discussion of a PhD topic
  • presentation of a position, i.e., an arguable opinion about a certain topic

Abstracts are only accepted in English, they should be carefully checked for correct grammar and spelling, and authors should address one or several application domains of visualization. Abstracts will be reviewed by at least two experts in the field. Please announce a substantial overlap with further work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings in order to properly the purpose of your paper.

We solicit abstract submissions (2 pages +1 page for references) that outline a research idea. We explicitly welcome open question sections to promote a lively discussion of the topic. Accepted abstracts will be presented in a mixed poster/presentation session, in which each presenter will display a poster of the respective abstract topic. In addition, each presenter will give an elevator pitch of their research ideas.

Selected, promising ideas will be invited to submit a full paper after the conference, which will undergo a revision cycle that aims to provide feedback for a minor revision. Finally, accepted full papers will be included in the LEVIA 2020 proceedings next to the regularly accepted full papers.

Submission Page
The submission page for LEVIA'20 papers can be found via https://easychair.org/conferences/?conf=levia2020.

Paper Template
We accept full papers from 4 up to 8 pages (+ 1 page for references) and paper abstract up to 2 pages (+ 1 page for references) that have been prepared using this IEEE Journal and Conference Template.

All accepted papers will be made available through the symposium website. In addition, we will publish the papers using OSF Preprints to receive a DOI for your manuscript.



SUBMISSION DEADLINE (EXTENDED): 28 August 2020 14 August 2020
NOTIFICATION: 18 September 2020
CAMERA-READY: 1 October 2020
LEVIA'20: 15/16 October 2020


Thursday, October 15th

10:00 LEVIA Opening & Opening Keynote

Session Chair: Christina Gillmann

Dr. Renata Georgia Raidou, University of Groningen, Netherlands
Paving the wave for P4 visualization through visual analytics and physicalization

11:00 Coffee Break

11:15 Paper Session I: Image-based Visualization

Session Chair: Daniel Wiegreffe

Lovro Bosnar, Doria Saric, Siddhartha Dutta, Thomas Weibel, Markus Rauhut, Hans Hagen and Petra Gospodnetic
Image Synthesis Pipeline for Surface Inspection

Katharina Roth, Eva Hagen and Christina Gillmann
Shape Analysis and Visualization in Building Floor Plans

Kurt Schardt, Robin G. C. Maack, Dorothee Saur, Hans Hagen, Gerik Scheuermann and Christina Gillman
Multi-modal Visualization of Stroke Lesion CT-Imaging

12:30 Lunch Break

14:00 Paper Session II: Field Data and Visual Analytics

Session Chair: Robin Maack

Jochen Jankowai, Robin Skånberg, Daniel Jönsson, Anders Ynnerman and Ingrid Hotz
Tensor volume exploration using feature space representatives

Emma Nilsson, Wito Engelke, Anke Friederici and Ingrid Hotz
Tracking and Visualizing Multi-Center Cyclones

Johanna Schmidt
Interfaces to Scripting Languages in Visual Analytics Applications

15:15 Coffee Break

15:30 Paper Abstract Session

Session Chair: Vanessa Kretzschmar

Johannes Bayer, Yakun Li and Sebastian Marquardt
Grid Alignment and Derivation Visualisation of Connected Symbols in Graph-Based Engineering Drawings

Johannes Bayer, Yakun Li and Sebastian Marquardt
Graph-Based Manipulation Rules for Piping and Instrumentation Diagrams: Advanced Aspects

Christofer Meinecke and Stefan Jänicke
Detecting Text Reuse and Similarities between Artists in Rap Music through Visualization

16:15 Coffee Break

16:30 Closing Keynote & LEVIA Closing

Session Chair: Christina Gillmann

Dr. Karsten Rink, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
Data Integration and Visualisation of Environmental Data


Dr. Renata Georgia Raidou
Asst. Prof. in Medical Visualization and Visual Analytics, University of Groningen, Netherlands

Paving the wave for P4 visualization through visual analytics and physicalization

The term P4 medicine has been coined almost a decade ago to indicate novel ways of early detection and prevention of diseases. P4 stands for personalized, predictive, preventive, and participatory, to indicate that a diagnosis or treatment is tailored to each individual patient, that risk factors are identified early and addressed before manifestation, and that individuals are actively involved into all processes. Often, P4 approaches are accompanied by the acquisition of large, complex medical imaging data and by demanding computational processes. For many years, visual computing and visualization have been enablers of biomedical research. Now, they should also be supporting the P4 direction, by the development of novel strategies for the exploration, analysis, and presentation of the underlying “rich” medical data. For the first three P’s, I will discuss recent developments in the domain of visual analytics to support the personalization, predictiveness and prevention aspects of treatment in prostate cancer radiotherapy, empowering clinical research with new possibilities for more targeted and robust patient treatment. For the fourth P, I will discuss how recent trends in physicalization can be applied within the context of anatomical edutainment, to engage laymen or schoolchildren, though the use of inexpensive and accessible computer-generated physical models.


Dr. Karsten Rink
Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany

Data Integration and Visualisation of Environmental Data

With politics, media and the public focussing more and more on climate change and its potential consequences, there is a need for comprehensible and intuitive visualisation of environmental data. Both to better understand the complex processes involved as well as to communicate information to stakeholders and the public. While 2D visualisation methods are well-established for a number of domains (e.g. weather forecasts, geographic information systems, various JavaScript libraries), visualisation in 3D is still mostly limited to sporadic and isolated case studies. However, to fully understand the complex interrelations of phenomena such as droughts, flooding, or heat waves or the complex processes involved in groundwater contamination or geothermic energy production and -storage, data exploration in 3D space is vital. However, there are a number of challenges involved: Complex environmental studies often require a large number of datasets acquired via a wide range of measurement devices. In addition to well-known challenges related to the visualisation of multivariate data and the handling of uncertainties, these datasets also vary widely in their spatial and temporal resolution as well as by extent, structure and dimensionality. Domain-specific conventions such as the use of certain geographic projections, data formats, or post-processing methods are additional obstacles in integrating and visualising such data collections.
Over the past decade, we have developed workflows based on VTK and Unity to create complex visualisation studies, ranging from pore-scale up to large river catchments with hundreds of thousands of km2. Application areas focus on the visualisation of hydrological studies for the development of water management schemes for (semi-)arid regions or groundwater contamination as well as geotechnical applications regarding the generation and storage of energy. In this talk we will present a few examples of such applications, talk about the challenges involved and give some insight on the algorithms and software used.



Christina Gillmann (chair)
Leipzig University, Germany

Ingrid Hotz
Linköping University, Sweden

Stefan Jänicke
University of Southern Denmark

Publication Chair

Daniel Wiegreffe
Leipzig University, Germany

Program Committee

Alfie Abdul-Rahman, King's College London, UK
Gennady Andrienko, City University London, UK
Michael Böttinger, German Climate Computing Centre, Germany
Roxana Bujack, Los Alamos National Laboratory, USA
Jan Byška, University of Bergen, Norway
Faisal Cheema, FAST NUCES, Islamabad, Pakistan
Michael Correll, Tableau Research
Mennatallah El-Assady, University of Konstanz, Germany
Kathrin Feige, Deutscher Wetterdienst, Germany
Issei Fujishiro, Keio University, Japan
Petra Gospodnetic, Fraunhofer Institute for Industrial Mathematics, Germany
Takayuki Itoh, Ochanomizu University, Japan
Daniel Jönsson, Linköping University, Sweden
Andreas Kerren, Linnaeus University, Sweden
Richard Khulusi, Leipzig University, Germany
Robin Maack, University of Kaiserslautern, Germany
Christofer Meinecke, Leipzig University, Germany
Renata Georgia Raidou, TU Wien, Austria
Johanna Schmidt, VRVis, Austria
Bettina Speckmann, TU Eindhoven, Netherlands
Chris Weaver, University of Oklahoma, USA


LEVIA will take place in Room P7-02 at the Faculty for Mathematics and Computer Science of Leipzig University!

Address: Augustusplatz 10, 04109 Leipzig, Germany

Directions: Find it on Google Maps!

Leipzig University Building

Room P7-02