Institute of
Creative\Media/Technologies

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Mag. Dipl.-Ing. Alexander Rind

  • Researcher
    Media Computing Research Group
    Institute of Creative\Media/Technologies
  • Department of Media and Digital Technologies
Location: Heinrich Schneidmadl-Stra├če 15
P: +43/2742/313 228 653

Study programmes

  • Digital Healthcare (MA)
  • Interactive Technologies (MA)
  • Digital Media Technologies (MA)
  • Economic and Financial Communications (MA)
  • Digital Design (MA)
  • Digital Media Production (MA)
  • Media Technology (BA)

Departments

  • Media and Digital Technologies
  • Media and Economics

Short profile

  • 1998-2004 MSc studies in Business Informatics at Vienna University of Technology, University of Vienna, and Lund University, Sweden
  • 2004-2013 Researcher at Vienna University of Technology, Danube University Krems, and Krems Research Forschungsgesellschaft
  • since 2014 Researcher at Institute of Creative\Media/Technologies IC\M/T, FH St. Poelten
  • Lead developer of TimeBench, an open-source library for visual analytics of time-oriented data
  • Programme committee member and reviewer for various national and international conferences and journals: IEEE VIS, IEEE BDVA, ACM VAHC, TVCG, JAMIA
  • Research interests: Visual Analytics, Information Visualization, Human-Computer Interaction, Analysis of Time-Oriented Data, Visualization of Electronic Health Records

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Selected Publications

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
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
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

Publications

Types
From
To
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.
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
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
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
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.
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.
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
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
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., 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

Projects