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Alexander Rind is scientific researcher in information visualization and visual analytics. 

Since 2014 he is member of the Media Computing Research Group, Institute of Creative\Media/Technologies, St. Pölten University of Applied Sciences, where he is involved in the basic research project KAVA-Time funded by the Austrian Science Fund (FWF), the FFG-funded research project VALiD, and other scientific activities. He pursues his doctoral studies about interaction in Information Visualization of time-oriented data at Vienna University of Technology. Before that, he studied Information Systems (Wirtschaftsinformatik) in Vienna and Lund and received his M.Sc. degree from the Vienna University of Technology in 2004.

More details: http://alex.timebench.org/


TimeBench – A Data Model and Software Library for Visual Analytics of Time-Oriented Data

EvalBench – A Software Library for Visualization Evaluation

Interactive Information Visualization to Explore and Query Electronic Health Records

Recent Publications

Wagner, M., D. Sacha, A. Rind, F. Fischer, R. Luh, S. Schrittwieser, D. A. Keim, and W. Aigner, "Visual Analytics: Foundations and Experiences in Malware Analysis", Empirical Research for Software Security: Foundations and Experience: CRC/Taylor and Francis, In Press.
Bögl, M., P. Filzmoser, T. Gschwandtner, T. Lammarsch, R. A. Leite, S. Miksch, and A. Rind, "Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction", Computer Graphics Forum, vol. 36, issue 3, pp. 227-238, 2017.
Wagner, M., A. Rind, N. Thür, and W. Aigner, "A Knowledge-Assisted Visual Malware Analysis System: Design, Validation, and Reflection of KAMAS", Computers & Security, vol. 67, pp. 1-15, 02/2017.
Rind, A., A. Haberson, K. Blumenstein, C. Niederer, M. Wagner, and W. Aigner, "PubViz: Lightweight Visual Presentation of Publication Data", Proc. Eurographics Conf. Visualization (EuroVis) – Short Paper: EuroGraphics, pp. 169-173, 06/2017.
Federico, P., M. Wagner, A. Rind, A. Amor-Amorós, S. Miksch, and W. Aigner, "The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics", 2017 IEEE Conference on Visual Analytics Science and Technology (VAST): IEEE, 10/2017.

Press articles