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Mag. Dipl.-Ing.

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. Additionally, he completed a Dipl.-Ing. degree in Information & Knowledge Management at the Vienna University of Technology.

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. Slijepcevic, B. Horsak, A. Rind, M. Zeppelzauer, and W. Aigner, "KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis", IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. accepted, In Press.
Aigner, W., A. Rind, and M. Wagner, "KAVA-Time: Knowledge-Assisted Visual Analytics Methods for Time-Oriented Data", Tagungsband des 12. Forschungsforum der österreichischen Fachhochschulen (FFH) 2018, In Press.
Andrienko, N., T. Lammarsch, G. Andrienko, G. Fuchs, D. A. Keim, S. Miksch, and A. Rind, "Viewing Visual Analytics as Model Building", Computer Graphics Forum, vol. Early View, 2018.
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.

Press articles