Department of Informatics – Database Technology


News (Last update: 03/2014)

Open Student Projects:

Incremental Centroid Decomposition for Online Time Series (BSc/MSc)


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Mourad Khayati

Short Curriculum

Mourad Khayati
Mourad Khayati was a research assistant and doctoral student at the University of Zurich in the Database Technology Research Group working on his doctoral thesis under the supervision of Prof. Dr. Michael Böhlen.

I have moved to University of Fribourg

Research projects

  • REVIVAL (2010-now): Recovery of Missing Values in Time series
  • MEDAN (2009): Competence Center for Medical Data Warehousing and Analysis

Student projects


Publications (DBLP)

  • M. Khayati, M.H. Böhlen and P. Cudré-Mauroux: Using Lowly Correlated Time Series to Recover Missing Values in Time Series: a Comparison between SVD and CD, In Proc. of the 14th International Symposium on Spatial and Temporal Databases (SSTD-15), Seoul, South Korea. Paper.
  • M. Khayati, M.H. Böhlen and J. Gamper: Memory-efficient Centroid Decomposition for Long Time Series, In Proc. of the 30th IEEE International Conference on Data Engineering (ICDE-14), pages: 100-111, 2014, Chicago, Illinois, USA. Paper PosterSoftware.
  • M. Khayati, M.H. Böhlen and J. Gamper: Scalable Centroid Decomposition, IFI Technical Report # IFI-2013.08, Version 1, 2013, Department of Informatics, University of Zürich.Report.
    Note: The proof of the local optimal choice property (Lemma 6) of ICDE'14 paper has been extented to include all possible cases.
  • M. Khayati, M.H. Böhlen: REBOM: Recovery of Blocks of Missing Values in Time Series. In Proc. of the 18th International Conference of Managment of Data (COMAD-12), pages: 44-55, 2012, Pune, India. Paper Software.

Contact Information

Email mkhayati AT
Address University of Zürich
Department of Informatics
Binzmühlestrasse 14
CH-8050 Zürich
Office 2.E.10
Tel. +41-44-635-4336
Fax. +41-44-635-6809
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