TU Wien Informatics

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Wolfgang Aigner

Privatdoz. Dipl.-Ing. Dr.techn.

Research Focus

  • Information Systems Engineering: 10%
  • Visual Computing and Human-Centered Technology: 90%

Research Areas

  • User-Centered Design, Human-Computer Interaction (HCI), Interaction Design, Visual Analytics, Information Visualization
Wolfgang Aigner

Role

Contact

2024W

2025S

 

2023

  • Visualization of Time-Oriented Data / Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2023). Visualization of Time-Oriented Data (2.). Springer London. https://doi.org/10.1007/978-1-4471-7527-8
    Projects: ArtVis (2022–2027) / DoRIAH (2020–2024) / GuidedVA (2020–2025) / KnoVA (2018–2022) / VaCoViCu2 (2023–2027)
  • Visualization Onboarding Grounded in Educational Theories / Stoiber, C., Wagner, M., Grassinger, F., Pohl, M., Stitz, H., Streit, M., Potzmann, B., & Aigner, W. (2023). Visualization Onboarding Grounded in Educational Theories. In D. A. Szafir, R. Borgo, & M. Chen (Eds.), Visualization Psychology (pp. 139–164). Springer. https://doi.org/10.1007/978-3-031-34738-2_6
  • Design Actions for the Design of Visualization Onboarding Methods / Stoiber, C., Pohl, M., & Aigner, W. (2023). Design Actions for the Design of Visualization Onboarding Methods. In 2023 IEEE VIS Workshop on Visualization Education, Literacy, and Activities (EduVis) (pp. 1–10). https://doi.org/10.1109/EduVis60792.2023.00007
  • Visual Exploration of Indirect Bias in Language Models / Louis-Alexandre Dit Petit-Frere, J., & Waldner, M. (2023). Visual Exploration of Indirect Bias in Language Models. In T. Hoelt, W. Aigner, & B. Wang (Eds.), EuroVis 2023 - Short Papers. The Eurographics Association. https://doi.org/10.2312/evs.20231034
    Downloads: PDF (122 KB) / PDF (513 KB)
    Project: JDE (2023–2026)

2022

  • Comparative evaluations of visualization onboarding methods / Stoiber, C., Walchshofer, C., Pohl, M., Potzmann, B., Grassinger, F., Stitz, H., Streit, M., & Aigner, W. (2022). Comparative evaluations of visualization onboarding methods. Visual Informatics, 6(4), 34–50. https://doi.org/10.1016/j.visinf.2022.07.001
    Download: PDF (1.95 MB)
  • Perspectives of Visualization Onboarding and Guidance in VA / Stoiber, C., Ceneda, D., Wagner, M., Schetinger, V., Gschwandtner, T., Streit, M., Miksch, S., & Aigner, W. (2022). Perspectives of Visualization Onboarding and Guidance in VA. Visual Informatics, 6(1), 68–83. https://doi.org/10.1016/j.visinf.2022.02.005

2019

2017

2016

  • The State-of-the-Art of Set Visualization / Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2016). The State-of-the-Art of Set Visualization. Computer Graphics Forum, 35(1), 234–260. http://hdl.handle.net/20.500.12708/150103
  • Exploring Media Transparency With Multiple Views / Rind, A., Pfahler, D., Niederer, C., & Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73). CEUR-WS.org. http://hdl.handle.net/20.500.12708/56612
  • Guiding the Visualization of Time-oriented Data / Ceneda, D., Aigner, W., Bögl, M., Gschwandtner, T., & Miksch, S. (2016). Guiding the Visualization of Time-oriented Data. In Proceedings of IEEE VIS. IEEE Visualization, Minneapolis, USA, Austria. http://hdl.handle.net/20.500.12708/56578

2015

  • Visualization Techniques for Time-Oriented Data / Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In Interactive Data Visualization: Foundations, Techniques, and Applications, 2nd edition (pp. 253–284). A K Peters/CRC Press. http://hdl.handle.net/20.500.12708/28671
  • Reproducibility, Verification, and Validation of Experiments on the Marschner-Lobb Test Signal / Vad, V., Csebfalvi, B., Rautek, P., & Gröller, E. (2015). Reproducibility, Verification, and Validation of Experiments on the Marschner-Lobb Test Signal. In W. Aigner, P. Rosenthal, & C. Scheidegger (Eds.), EuroRVVV15. https://doi.org/10.2312/eurorv3.20151140
  • Choosing the Right Sample? Experiences of Selecting Participants for Visualization Evaluation / Kriglstein, S., & Pohl, M. (2015). Choosing the Right Sample? Experiences of Selecting Participants for Visualization Evaluation. In W. Aigner, P. Rosenthal, & C. Scheidegger (Eds.), EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3). The Eurographics Association. https://doi.org/10.2312/eurorv3.20151146
  • Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation / Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2015). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization, 15(4), 288–300. https://doi.org/10.1177/1473871615621602
    Project: HypoVis (2011–2015)
  • A Survey of Visualization Systems for Malware Analysis / Wagner, M., Fischer, F., Luh, R., Haberson, A., Rind, A., Keim, D., & Aigner, W. (2015). A Survey of Visualization Systems for Malware Analysis. In R. Borgo, F. Ganovelli, & I. Viola (Eds.), Eurographics Conference on Visualization (EuroVis) State of The Art Reports (pp. 105–125). EuroGraphics. https://doi.org/10.2312/eurovisstar.20151114
  • Integrating Predictions in Time Series Model Selection / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 73–78). The Eurographics Association. https://doi.org/10.2312/eurova.20151107
    Project: HypoVis (2011–2015)
  • Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), Poster Proceedings of the IEEE Visualization Conference 2015 (p. 2). http://hdl.handle.net/20.500.12708/56130

2014

  • Mind the time: Unleashing temporal aspects in pattern discovery / Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2014). Mind the time: Unleashing temporal aspects in pattern discovery. Computers and Graphics, 38, 38–50. https://doi.org/10.1016/j.cag.2013.10.007
    Project: HypoVis (2011–2015)
  • TimeCleanser / Gschwandtner, T., Aigner, W., Miksch, S., Gärtner, J., Kriglstein, S., Pohl, M., & Suchy, N. (2014). TimeCleanser. In S. Lindstaedt, M. Granitzer, & H. Sack (Eds.), Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW ’14. ACM Press. https://doi.org/10.1145/2637748.2638423
  • A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data / 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-UK, 38, 286–290. https://doi.org/10.1016/j.cag.2013.11.002
    Projects: HypoVis (2011–2015) / VIENA (2011–2013)
  • Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges / Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2014). Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. In R. Borgo, R. Maciejewski, & I. Viola (Eds.), Eurographics Conference on Visualization - State of The Art Reports (pp. 1–21). Eurographics. https://doi.org/10.2312/eurovisstar.20141170
  • Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing / Lammarsch, T., Aigner, W., Miksch, S., & Rind, A. (2014). Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing. In Y. Jansen, P. Isenberg, J. Dykes, S. Carpendale, & D. Keefe (Eds.), Death of the Desktop - Envisioning Visualization without Desktop Computing. http://hdl.handle.net/20.500.12708/55768
    Project: HypoVis (2011–2015)
  • User tasks for evaluation / Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2014). User tasks for evaluation. In Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization. Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV 2014), Paris, Frankreich, EU. ACM digital library. https://doi.org/10.1145/2669557.2669568
  • Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2014). Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics (p. 4). http://hdl.handle.net/20.500.12708/55730
  • Qualizon graphs / Federico, P., Hoffmann, S., Rind, A., Aigner, W., & Miksch, S. (2014). Qualizon graphs. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces - AVI ’14. 12th International Working Conference on Advanced Visual Interfaces (AVI2014), Como (Italy), EU. ACM. https://doi.org/10.1145/2598153.2598172
    Project: MobiGuide (2011–2015)

2013

2012

  • A Taxonomy of Dirty Time-Oriented Data / Gschwandtner, T., Gärtner, J., Aigner, W., & Miksch, S. (2012). A Taxonomy of Dirty Time-Oriented Data. In Multidisciplinary Research and Practice for Informations Systems IFIP WG 8.4, 8.9, TC 5 International Cross Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Prague, Czech Republic, August 20-24, 2012, Proceedings (pp. 58–72). Lecture Notes in Computer Science (LNCS) / Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-32498-7_5
  • Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions / 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. http://hdl.handle.net/20.500.12708/163525
  • Visual Knowledge Networks Analytics / Windhager, F., Smuc, M., Zenk, L., Federico, P., Pfeffer, J., Aigner, W., & Miksch, S. (2012). Visual Knowledge Networks Analytics. In J. Liebowitz (Ed.), Knowledge Management Handbook (pp. 187–206). CRC Press. https://doi.org/10.1201/b12285-12
    Project: VIENA (2011–2013)
  • Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time / Lammarsch, T., Rind, A., Aigner, W., & Miksch, S. (2012). Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time. In K. Matkovic & G. Santucci (Eds.), Proceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012) (pp. 31–35). Eurographics Publications. https://doi.org/10.2312/PE/EuroVAST/EuroVA12/031-035
    Project: HypoVis (2011–2015)
  • Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data / 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, 18(12), 2849–2858. https://doi.org/10.1109/tvcg.2012.254
  • Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time / Rind, A., Neubauer, B., Aigner, W., & Miksch, S. (2012). Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time. In K. Matkovic & G. Santucci (Eds.), EuroVA 2012 Poster Proceedings (p. 3). http://hdl.handle.net/20.500.12708/54121
    Project: HypoVis (2011–2015)
  • Analysing Interactivity in Information Visualisation / Pohl, M., Wiltner, S., Miksch, S., Aigner, W., & Rind, A. (2012). Analysing Interactivity in Information Visualisation. KI - Künstliche Intelligenz, 26(2), 151–159. https://doi.org/10.1007/s13218-012-0167-6
  • Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots / Aigner, W., Kainz, C., Ma, R., & Miksch, S. (2012). Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots. EuroVis 2012, Wien, Austria. http://hdl.handle.net/20.500.12708/85349
  • Challenges of Time-oriented Data in Visual Analytics for Healthcare / Aigner, W., Federico, P., Gschwandtner, T., Miksch, S., & Rind, A. (2012). Challenges of Time-oriented Data in Visual Analytics for Healthcare. In J. J. Caban & D. Gotz (Eds.), Proceedings of the IEEE VisWeek Workshop on Visual Analytics in Healthcare (p. 4). http://hdl.handle.net/20.500.12708/54241
    Project: MobiGuide (2011–2015)
  • ViENA: Visual Enterprise Network Analytics / Federico, P., Aigner, W., Miksch, S., Pfeffer, J., Smuc, M., Windhager, F., & Zenk, L. (2012). ViENA: Visual Enterprise Network Analytics. In Poster Proceedings of the 3rd International Eurovis workshop on Visual Analytics (EuroVA) (p. 12). http://hdl.handle.net/20.500.12708/54133
    Project: VIENA (2011–2013)
  • Visual Analysis of Dynamic Networks Using Change Centrality / Federico, P., Pfeffer, J., Aigner, W., Miksch, S., & Zenk, L. (2012). Visual Analysis of Dynamic Networks Using Change Centrality. In 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Non-EU. IEEE. https://doi.org/10.1109/asonam.2012.39
    Project: VIENA (2011–2013)
  • Vertigo zoom / Federico, P., Aigner, W., Miksch, S., Windhager, F., & Smuc, M. (2012). Vertigo zoom. In Proceedings of the International Working Conference on Advanced Visual Interfaces - AVI ’12. 11th International Working Conference on Advanced Visual Interfaces (AVI2012), Capri Island, EU. ACM. https://doi.org/10.1145/2254556.2254640
    Project: VIENA (2011–2013)

2011

  • Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots / 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. http://hdl.handle.net/20.500.12708/162118
  • Visualization of Time-Oriented Data / Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2011). Visualization of Time-Oriented Data. Springer. https://doi.org/10.1007/978-0-85729-079-3
  • Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation / Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Turic, T., & Drexler, F. (2011). Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation. In A. Holzinger & K.-M. Simonic (Eds.), Information Quality in e-Health : 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Graz, Austria, November 25-26, 2011, Proceedings (pp. 301–320). Springer. https://doi.org/10.1007/978-3-642-25364-5_22
  • Towards a Concept how the Structure of Time can Support the Visual Analytics Process / Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2011). Towards a Concept how the Structure of Time can Support the Visual Analytics Process. In S. Miksch & G. Santucci (Eds.), Proceedings of the Second International Workshop on Visual Analytics held in Europe (EuroVA 2011) (pp. 9–12). Computer Graphics Forum. https://doi.org/10.2312/PE/EuroVAST/EuroVA11/009-012
    Project: HypoVis (2011–2015)
  • Patient Development at a Glance: An Evaluation of a Medical Data Visualization / Pohl, M., Wiltner, S., Rind, A., Aigner, W., Miksch, S., Turic, T., & Drexler, F. (2011). Patient Development at a Glance: An Evaluation of a Medical Data Visualization. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2011 (pp. 292–299). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-23768-3_24
  • Visual Analytics of Dynamic Networks - A Case Study / Federico, P., Aigner, W., Miksch, S., Windhager, F., & Zenk, L. (2011). Visual Analytics of Dynamic Networks - A Case Study. The Third International UKVAC Workshop on Visual Analytics (VAW 2011), London, UK, EU. http://hdl.handle.net/20.500.12708/85147
    Project: VIENA (2011–2013)
  • Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots / Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Drexler, F., Neubauer, B., & Suchy, N. (2011). Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots. In M. M. Robertson (Ed.), Ergonomics and Health Aspects of Work with Computers (pp. 139–148). Springer. https://doi.org/10.1007/978-3-642-21716-6_15
  • A visual analytics approach to dynamic social networks / Federico, P., Aigner, W., Miksch, S., Windhager, F., & Zenk, L. (2011). A visual analytics approach to dynamic social networks. In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW ’11. International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), Graz, Austria. ACM. https://doi.org/10.1145/2024288.2024344
    Project: VIENA (2011–2013)
  • Design and Evaluation of an Interactive Visualization of Therapy Plans and Patient Data / Gschwandtner, T., Aigner, W., Kaiser, K., Miksch, S., & Seyfang, A. (2011). Design and Evaluation of an Interactive Visualization of Therapy Plans and Patient Data. In Proceedings of the 25th BCS Conference on Human-Computer Interaction (HCI 2011) (pp. 421–428). BCS. http://hdl.handle.net/20.500.12708/53666
  • A-plan / Schneider, T., & Aigner, W. (2011). A-plan. In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW ’11. International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), Graz, Austria. ACM. https://doi.org/10.1145/2024288.2024341
  • Understanding the Role and Value of Interaction: First Steps / Aigner, W. (2011). Understanding the Role and Value of Interaction: First Steps. In S. Miksch & G. Santucci (Eds.), Proceedings of International Workshop on Visual Analytics (EuroVA 2011) (pp. 17–20). The Eurographics Association. http://hdl.handle.net/20.500.12708/53648
  • CareCruiser: Exploring and visualizing plans, events, and effects interactively / Gschwandtner, T., Aigner, W., Kaiser, K., Miksch, S., & Seyfang, A. (2011). CareCruiser: Exploring and visualizing plans, events, and effects interactively. In G. Di Battista, J.-D. Fekete, & H. Qu (Eds.), 2011 IEEE Pacific Visualization Symposium. IEEE. https://doi.org/10.1109/pacificvis.2011.5742371

2010

  • VisuExplore: Gaining New Medical Insights from Visual Exploration / Rind, A., Miksch, S., Aigner, W., Turic, T., & Pohl, M. (2010). VisuExplore: Gaining New Medical Insights from Visual Exploration. In Proceedings of the 1st International Workshop on Interactive Systems in Healthcare (WISH) (pp. 149–152). http://hdl.handle.net/20.500.12708/53349
  • VisuExplore: Gewinnung neuer medizinischer Erkenntnisse durch visuelle Exploration. / Rind, A., Miksch, S., Aigner, W., Turic, T., & Pohl, M. (2010). VisuExplore: Gewinnung neuer medizinischer Erkenntnisse durch visuelle Exploration. In G. Schreier, D. Haydn, & E. Ammenwerth (Eds.), eHealth2010: Health Informatics meets eHealth (pp. 273–278). Tagungsband der eHealth2010. http://hdl.handle.net/20.500.12708/53337

2008

  • Visualizations at First Sight: Do Insights Require Training? / Smuc, M., Mayr, E., Lammarsch, T., Bertone, A., Aigner, W., Risku, H., & Miksch, S. (2008). Visualizations at First Sight: Do Insights Require Training? In A. Holzinger (Ed.), HCI and Usability for Education and Work 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2008, Graz, Austria, November 20-21, 2008, Proceedings (pp. 261–280). Springer. https://doi.org/10.1007/978-3-540-89350-9_19
  • Visualization Methods to Support Guideline-Based Care Management / Aigner, W., Kaiser, K., & Miksch, S. (2008). Visualization Methods to Support Guideline-Based Care Management. In A. ten Teije, S. Miksch, & P. Lucas (Eds.), Computer-based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 140–159). IOS Press. https://doi.org/10.3233/978-1-58603-873-1-140
    Project: EviX (2006–2009)

2007

2006

2005

2004

2003

2001

 

  • Honorable Mention at IEEE Conference on Visual Analytics Science and Technology (VAST) 2012
    2012 / IEEE Computer Society Visualization & Graphics Technical Committee (VGTC) / USA
  • Federal Ministry of Science and Research (BM.WF): Sparkling Science Award for the cooperative research project "HorizonVis" with the school HTBL Krems
    2010 / Austria
  • Karl Ritter von Ghega Award of Recognition for the research project "VisuExplore"
    2010 / Karl-Ritter-von-Ghega-Preis / Austria
  • Top Cited Article 2005-2010 in Computers and Graphics
    2010 / Pergamon/Elsevier / Netherlands
  • Federal Ministry of Science and Re- search (BM.WF): Sparkling Science Award for the cooperative research project "StackFlow 3D" with the school HTBL Krems
    2009 / Austria
  • Karl Ritter von Ghega Award of Recognition for the research project "DisCo"
    2008 / Karl-Ritter-von-Ghega-Preis / Austria
  • Award of Special Recognition
    2004 / Austrian Society of Artificial Intelligence(ÖGAI) / Austria
  • Outstanding Achievement Award
    2003 / Austria
  • Outstanding Achievement Award
    1999 / Johannes Kepler University Linz / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Wolfgang Aigner’s research profile in TISS .