Team

Mag. Dipl.-Ing. Alexander Rind

  • Researcher
    Forschungsgruppe Media Computing
    Institut für Creative\Media/Technologies
  • Department Medien und Digitale Technologien
Arbeitsplatz: Heinrich Schneidmadl-Straße 15
T: +43/2742/313 228 653

Studiengänge

  • Interactive Technologies (MA)
  • Digitale Medientechnologien (MA)
  • Wirtschafts- und Finanzkommunikation (MA)
  • Medientechnik (BA)
  • Digital Design (MA)
  • Digital Media Production (MA)
  • Digital Healthcare (MA)

Departments

  • Medien und Digitale Technologien
  • Medien und Wirtschaft

Kurzprofil

  • 1998–2004 Diplomstudium der Wirtschaftsinformatik an der Technischen Universität Wien, der Universität Wien und der Lund University, Schweden
  • 2004–2007 Wissenschaftlicher Mitarbeiter bei Krems Research Forschungsgesellschaft
  • 2007–2011 Wissenschaftlicher Mitarbeiter am Departments für Information & Knowledge Engineering der Donau-Universität Krems
  • 2011–2013 Forschungsassistent am Institut für Softwaretechnik & Interaktive Systeme der Technischen Universtität Wien
  • Beteiligung an grundlagen- und anwendungsorientierten Forschungs- und Beratungsprojekten sowie Publikationen und internationale Vortragstätigkeit in den Bereichen Informationsvisualisierung

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Ausgewählte Publikationen

Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D. A., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10.1111/cgf.13324
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/10.1109/TVCG.2017.2785271
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. In 2017 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 92–103). IEEE. https://doi.org/10.1109/VAST.2017.8585498
Rind, A., Haberson, A., Blumenstein, K., Niederer, C., Wagner, M., & Aigner, W. (2017). PubViz: Lightweight Visual Presentation of Publication Data. In B. Kozlíková, T. Schreck, & T. Wischgoll (Eds.), Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper (pp. 169–173). EuroGraphics. https://doi.org/10.2312/eurovisshort.20171152
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/10.1016/j.cose.2017.02.003
Rind, A., Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., & Wagner, M. (2017). Visual Analytics of Electronic Health Records with a Focus on Time. In G. Rinaldi (Ed.), New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners (pp. 65–77). Cham: Springer. https://doi.org/10.1007/978-3-319-28661-7_5
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.
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/10.1177/1473871615621602

Publikationen

Typen
Von
Bis
Erlinger-Schiedlbauer, C., Neubauer, G., Petrovic-Majer, S., Rind, A., Schlarb, S., & Spangl, B. (2018). Semantische Suchabfragen mit der Linked Open Data Cloud generieren. SocietyByte, Wissenschaftsmagazin Des BFH-Zentrums Digital Society.
Aigner, W., Rind, A., & Wagner, M. (2018). KAVA-Time: Knowledge-Assisted Visual Analytics Methods for Time-Oriented Data. In Tagungsband des 12. Forschungsforum der österreichischen Fachhochschulen (FFH) 2018.
Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D. A., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10.1111/cgf.13324
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/10.1109/TVCG.2017.2785271
Rind, A., Iber, M., & Aigner, W. (2018). Bridging the Gap Between Sonification and Visualization. In Proc. AVI Workshop on Multimodal Interaction for Data Visualization (MultimodalVis).
Rind, A., Grassinger, F., Kirchknopf, A., Stoiber, C., & Özüyilmaz, A. (2018). ContractVis HighLighter: the Visual Assistant for the Fine Print. In A. Khalili & M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems - SEMANTiCS2018. CEUR-WS.
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. In 2017 IEEE Conference on Visual Analytics Science and Technology (VAST) (pp. 92–103). IEEE. https://doi.org/10.1109/VAST.2017.8585498
Rind, A., Haberson, A., Blumenstein, K., Niederer, C., Wagner, M., & Aigner, W. (2017). PubViz: Lightweight Visual Presentation of Publication Data. In B. Kozlíková, T. Schreck, & T. Wischgoll (Eds.), Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper (pp. 169–173). EuroGraphics. https://doi.org/10.2312/eurovisshort.20171152
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/10.1016/j.cose.2017.02.003
Rind, A., Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., & Wagner, M. (2017). Visual Analytics of Electronic Health Records with a Focus on Time. In G. Rinaldi (Ed.), New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners (pp. 65–77). Cham: Springer. https://doi.org/10.1007/978-3-319-28661-7_5
Wagner, M., Sacha, D., Rind, A., Fischer, F., Luh, R., Schrittwieser, S., … Aigner, W. (2017). Visual Analytics: Foundations and Experiences in Malware Analysis. In L. B. Othmane, M. G. Jaatun, & E. Weippl (Eds.), Empirical Research for Software Security: Foundations and Experience (pp. 139–171). CRC/Taylor and Francis.
Bögl, M., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Leite, R. A., Miksch, S., & Rind, A. (2017). Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Computer Graphics Forum, 36, 227–238. https://doi.org/10.1111/cgf.13182
Bernád, Á. Z., Kaiser, M., Mair, S. M., & Rind, A. (2017). Communities in biographischen Netzwerken. In Proceedings of the 10th Forum Media Technology and 3rd All Around Audio Symposium (pp. 83–87). CEUR-WS.
Kromer, L., Wagner, M., Blumenstein, K., Rind, A., & Aigner, W. (2016). Performance Comparison between Unity and D3.js for Cross-Platform Visualization on Mobile Devices. In Proceedings of the 9th Forum Media Technology 2016 (pp. 47–52). CEUR-WS.
Rind, A. (2016, April). Information Visualization with a Focus on Health Care. Invited Lecture presented at the International Teacher Exchange Week 2016, Oulu University of Applied Sciences.
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.
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. In Proceedings of 2016 Workshop on Beyond Time And Errors: Novel Evaluation Methods For Visualization (pp. 125–132). Baltimore, MD, USA: ACM. https://doi.org/10.1145/2993901.2993906
Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2016). Visual Analytics for Time Series Model Selection, Prediction, and Imputation. In Extended Abstract at Austrian Statistical Days.
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/10.1177/1473871615621602
Niederer, C., Rind, A., & Aigner, W. (2016). Multi-Device Visualisation Design for Climbing Self-Assessment. In Proceedings of International Conference on Information Visualisation (IV16) (pp. 171–176). Lisbon, Portugal: IEEE Computer Society Press.
Niederer, C., Rind, A., Aigner, W., Ausserhofer, J., Gutounig, R., & Sedlmair, M. (2016). Visual Exploration of Media Transparency for Data Journalists: Problem Characterization and Abstraction. In Proceedings of the 10th Forschungsforum der österreichischen Fachhochschulen. Vienna, Austria: FH des BFI Wien.
Wagner, M., Blumenstein, K., Rind, A., Seidl, M., Schmiedl, G., Lammarsch, T., & Aigner, W. (2016). Native Cross-platform Visualization: A Proof of Concept Based on the Unity3D Game Engine. In Proceedings of International Conference on Information Visualisation (IV16) (p. forthcoming). Lisbon, Portugal: IEEE Computer Society Press.
Wagner, M., Rind, A., Rottermanner, G., Niederer, C., & Aigner, W. (2016). Knowledge-Assisted Rule Building for Malware Analysis. In Proceedings of the 10th Forschungsforum der österreichischen Fachhochschulen. Vienna, Austria: FH des BFI Wien.
Rind, A. (2015, October). Visual Analytics of Health Care Data with a Focus on Time. Invited Talk presented at the International Workshop 2015: Medical records update, Pesaro, Italy.
Niederer, C., Aigner, W., & Rind, A. (2015). Survey on Visualizing Dynamic, Weighted, and Directed Graphs in the Context of Data-Driven Journalism. In H.-J. Schulz, B. Urban, & U. Freiherr von Lukas (Eds.), Proceedings of the International Summer School on Visual Computing (pp. 49–58). Rostock, Germany: Frauenhoferverlag.
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). Cagliari, Italy: The Eurographics Association. https://doi.org/10.2312/eurovisstar.20151114
Wagner, M., Aigner, W., Haberson, A., & Rind, A. (2015). Literature review in visual analytics for malware pattern analysis. In Proceedings of the 9th Forschungsforum der österreichischen Fachhochschulen. FH Hagenberg.
Wagner, M., Aigner, W., Haberson, A., & Rind, A. (2015). Literature review in visual analytics for malware pattern analysis. In Proceedings of the 9th Forschungsforum der österreichischen Fachhochschulen. FH Hagenberg.
Rind, A. (2015, January). Visual Analytics with a Focus on Time. Invited Talk presented at the MAP 2015, CNRS, Marseille, France.
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). Cagliari, Italy: The Eurographics Association. https://doi.org/10.2312/eurovisstar.20151114
Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. In E. Bertini & J. C. Roberts (Eds.), Proceedings of theEuroVis Workshop on Visual Analytic, EuroVA (pp. 73–77). Eurographics. https://doi.org/10.2312/eurova.20151107
Bögl, M., Filzmoser, P., Gschwandtner, T., Miksch, S., Aigner, W., Rind, A., & Lammarsch, T. (2015). Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series. In Poster Proceedings of the IEEE Visualization Conference 2015.
Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2014). Mind the Time: Unleashing Temporal Aspects in Pattern Discovery. Computers & Graphics, 38, 38–50. https://doi.org/10.1016/j.cag.2013.10.007
Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2014). User Tasks for Evaluation: Untangling the Terminology Throughout Visualization Design and Development. In H. Lam, P. Isenberg, T. Isenberg, & M. Sedlmair (Eds.), Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (pp. 9–15). ACM. https://doi.org/10.1145/2669557.2669568
Wagner, M., Aigner, W., Rind, A., Luh, R., Dornhackl, H., Kadletz, K., & Tavolato, P. (2014). Problem Characterization and Abstraction for Visual Analytics in Behavior-Based Malware Pattern Analysis. In Proceedings of the 2014 IEEE Workshop on Visualization for Cyber Security (VizSec 2014) (pp. 9–16). ACM. https://doi.org/10.1145/2671491.2671498
Lammarsch, T., Aigner, W., Miksch, S., & Rind, A. (2014). Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing. In Proceedings of the IEEE VIS 2014 Workshop on Envisioning Visualization without Desktop Computing.
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 A. Perer, E. Bertini, R. Maciejewski, & J. Sun (Eds.), Proceedings of the IEEE VIS 2014 Workshop Visualization for Predictive Analytics, VPA.
Federico, P., Hoffmann, S., Rind, A., Aigner, W., & Miksch, S. (2014). Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions. In Proceedings of the 12th International Working Conference on Advanced Visual Interfaces (AVI2014) (pp. 273–280). ACM. https://doi.org/10.1145/2598153.2598172
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/10.1109/TVCG.2013.206
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/10.1561/1100000039
Aigner, W., Hoffmann, S., & Rind, A. (2013). EvalBench: A Software Library for Visualization Evaluation. Computer Graphics Forum, 32(3), 41–50. https://doi.org/10.1111/cgf.12091
Bögl, M., Aigner, W., Filzmoser, P., Lammarsch, T., Miksch, S., & Rind, A. (2013). Visual Analytics for Model Selection in Time Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2237–2246. https://doi.org/10.1109/TVCG.2013.222
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/10.1111/j.1467-8659.2012.03092.x
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

Projekte