FH-Prof. Priv.-Doz. Dipl.-Ing. Dr. Wolfgang Aigner MSc
- Deputy Head of Faculty of Engineering and Business
Study programmes
- Digital Media Production (MA)
- Interactive Technologies (MA)
- Digital Design (MA)
- Data Intelligence (MA)
- Data Science and Artificial Intelligence* (BA)
- Creative Computing (BA)
- Digital Innovation and Research (MA)
- Digital Media Technologies (MA)
- Media Technology (BA)
Departments
- Media and Digital Technologies
- Computer Science and Security
Research topics: Information Visualization (InfoVis) • Visual Analytics • Human-Computer Interaction (HCI) • User-Centered Design
- Since 2015: Head of Institute of Creative\Media/Technologies
- 2013: Habilitation (Priv.-Doz.) in practical computer science at Vienna University of Technology
- 2010-2013: Assistant Professor (Univ.assistent) at Institute of Software Technology & Interactive Systems of Vienna University of Technology
- 2006-2010: Senior Research Associate and Deputy Head of Department of Information and Knowledge Engineering at Danube University Krems
- 2006: PhD (Dr. techn.) in computer science at Vienna University of Technology
- 1997-2003: MSc (Dipl.-Ing.) in computer science at Johannes Kepler University Linz, Vienna University of Technology, and San Jose State University, USA
Online Resources
- Data Journalism Booklet – Guidelines and Best Practices for Getting Started
- InfoVis:Wiki - Information Visualization community platform
- TimeViz Browser - A visual survey of visualization techniques for time-oriented data
Software: Prototypes & Libraries
- Netflower - Interactive web application for visual exploration of flows in dynamic networks
- TaCo - Interactive web application for visualizing changes in tables over time
- PubViz - JavaScript library for interactive visualization of publication data
- EvalBench - Software library for visualization evaluation
- TimeBench - Data model and software library for visual analytics of time-oriented data
Projects
- DIHOST 2.0
- Visual Heritage
- Trust AI - A platform for interactive and trustworthy artificial intelligence.
- JHML - Joint Human Machine Learning for Exploratory Data Analysis
- SoniVis
- Vis4Schools
- IoT4LAC – IoT Applications for Communities in Lower Austria
- Dataskop - Sensor-Based Data Economy in Lower Austria
- SEVA - Self-Explanatory Visual Analytics for Data-Driven Insight Discovery
- EMMSA
- CovidLux
- Telling Stories With Data
- MEETeuX
- Digitalisierung des Angehörigendialogs
- CargoRider 2 – Innovative Mobility Service
- Loonity
- VisOnFire. Understanding and visualizing workflows
- VAST – Virtual Airspace and Tower
- JukeBlox
- VALiD - Visual Analytics in Data-Driven Journalism
- KAVA-Time – How man and machine analyze data
- Tenjin
- 2ndVisApp
- CargoRider – A new way of traveling
- Webplattform für CargoRider
- Visual Analytics for real estate platform
- Multi-Touch Table App fürs Karikaturmuseum Krems
- Ikarus InnoScheck
Selected publications
Stoiber, C., Rind, A., Grassinger, F., Gutounig, R., Goldgruber, E., Sedlmair, M., Emrich, S., & Aigner, W. (2019). netflower: Dynamic Network Visualization for Data Journalists. Computer Graphics Forum (EuroVis "19), 38. https://doi.org/10/ghm4jz
Niederer, C., Stitz, H., Hourieh, R., Grassinger, F., Aigner, W., & Streit, M. (2018). TACO: Visualizing Changes in Tables Over Time. IEEE Transactions on Visualization and Computer Graphics (InfoVis "17), 24(1), 677–686. https://doi.org/10/ghppzq
Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), 25(3), 1528–1542. https://doi.org/10/ghppzn
Tominski, C., Aigner, W., Miksch, S., & Schumann, H. (2017). Images of Time: Visual Representation of Time-Oriented Data. In A. Black, P. Luna, O. Lund, & S. Walker (Eds.), Information Design: Research and Practice (pp. 23–42). Gower/Routledge. http://mc.fhstp.ac.at/sites/default/files/publications/Tominski17ImagesOfTime.pdf
Federico, P., Wagner, M., Rind, A., Amor-Amorós, A., Miksch, S., & Aigner, W. (2017). The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. IEEE Conference on Visual Analytics Science and Technology (VAST), 92–103. https://doi.org/10/ghppzr
Wagner, M., Rind, A., Thür, N., & Aigner, W. (2017). A knowledge-assisted visual malware analysis system: design, validation, and reflection of KAMAS. Computers & Security, 67, 1–15. https://doi.org/10/b5j9
Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2016). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization, 15(4), 288–300. https://doi.org/10/f3szvq
Blumenstein, K., Niederer, C., Wagner, M., Schmiedl, G., Rind, A., & Aigner, W. (2016). Evaluating Information Visualization on Mobile Devices: Gaps and Challenges in the Empirical Evaluation Design Space. Proceedings of 2016 Workshop on Beyond Time And Errors: Novel Evaluation Methods For Visualization, 125–132. https://doi.org/10/cwc6
Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2015). The State-of-the-Art of Set Visualization. Computer Graphics Forum, Early view. https://doi.org/10/cwc5
Stitz, H., Gratzl, S., Aigner, W., & Streit, M. (2015). ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor. IEEE Transactions on Visualization and Computer Graphics, 22, 2594–2607. https://doi.org/10/ghppzs
Wagner, M., Fischer, F., Luh, R., Haberson, A., Rind, A., Keim, D. A., & Aigner, W. (2015). A Survey of Visualization Systems for Malware Analysis. In R. Borgo, F. Ganovelli, & I. Viola (Eds.), Eurographics Conference on Visualization (EuroVis) - STARs (pp. 105–125). The Eurographics Association. https://doi.org/10/cwc4
Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In M. O. Ward, G. Grinstein, & D. Keim (Eds.), Interactive Data Visualization: Foundations, Techniques, and Applications (2nd ed., pp. 253–284). A K Peters/CRC Press. https://www.crcpress.com/product/isbn/9781482257373
Miksch, S., & Aigner, W. (2014). A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data. Computers & Graphics, 38, 286–290. https://doi.org/10/f3szvk
Rind, A., Wang, T. D., Aigner, W., Miksch, S., Wongsuphasawat, K., Plaisant, C., & Shneiderman, B. (2013). Interactive Information Visualization to Explore and Query Electronic Health Records. Foundations and Trends in Human–Computer Interaction, 5(3), 207–298. https://doi.org/10/f3szvd
Aigner, W., Hoffmann, S., & Rind, A. (2013). EvalBench: A Software Library for Visualization Evaluation. Computer Graphics Forum, 32(3), 41–50. https://doi.org/10/f3szvb
Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Transactions on Visualization and Computer Graphics (Proceedings of InfoVis), 19, 2496–2505. https://doi.org/10/3v3
Rind, A., Lammarsch, T., Aigner, W., Alsallakh, B., & Miksch, S. (2013). TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2247–2256. https://doi.org/10/f3szvg
Alsallakh, B., Aigner, W., Miksch, S., & Gröller, E. (2012). Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data. IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VAST 2012), 18(12), 2849–2858. https://doi.org/10/f4fwmj
Aigner, W., Rind, A., & Hoffmann, S. (2012). Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions. Computer Graphics Forum, 31(3), 995–1004. https://doi.org/10/f9skn4
Aigner, W., Kainz, C., Ma, R., & Miksch, S. (2011). Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots. Computer Graphics Forum, 30(1), 215–228. https://doi.org/10/fjf52x
Schneider, T., & Aigner, W. (2011). A-Plan: Integrating Interactive Visualization With Automated Planning for Cooperative Resource Scheduling. Proceedings of International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), 44:1-44:8. https://doi.org/10/dzvszp
Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2011). Visualization of Time-Oriented Data. Springer Verlag; http://www.timeviz.net. https://doi.org/10.1007/978-0-85729-079-3
Smuc, M., Mayr, E., Lammarsch, T., Aigner, W., Miksch, S., & Gärtner, J. (2009). To Score or Not to Score? Tripling Insights for Participatory Design. IEEE Computer Graphics and Applications, 29(3), 29–38. https://doi.org/10/cb6vw8
Aigner, W., Miksch, S., Müller, W., Schumann, H., & Tominski, C. (2008). Visual Methods for Analyzing Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics, 14(1), 47–60. https://doi.org/10/c2qm3s
Aigner, W., Kaiser, K., & Miksch, S. (2008). Visualization Techniques to Support Authoring, Execution, and Maintenance of Clinical Guidelines. In A. ten Teije, P. Lucas, & S. Miksch (Eds.), Computer-Based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 140–159). IOS Press, Health Technology and Informatics. http://mc.fhstp.ac.at/sites/default/files/publications/2008/aigner_2008_VisuCGP.pdf
Aigner, W., Miksch, S., Müller, W., Schumann, H., & Tominski, C. (2007). Visualizing Time-Oriented Data - A Systematic View. Computers & Graphics, 31(3), 401–409. https://doi.org/10/dxs9t9
Aigner, W., & Miksch, S. (2006). CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data. Artifical Intelligence in Medicine (AIIM), 37(3), 203–218. https://doi.org/10/cbwjct
Visual Publication Browser
Selected supervised theses
- Wagner, M., Integrating Explicit Knowledge in the Visual Analytics Process: Model and Case Studies on Time-oriented Data, PhD Thesis, Vienna, 2017.
- Stoiber, C., Visualization Techniques for Climbing Self-Assessment, Master Thesis, St. Pölten, 2015.