Brief Bio

I have completed my Master’s Degree in University of Fribourg in 2022 with my Master Thesis “Comparing the Impact of Data Imputation on Time Series Downstream Tasks”. Since May 2022 I am a PhD candidate at eXascale Infolab, supervised by Mourad Khayati and Philippe Cudré-Mauroux.

I have been working with eXascale Infolab on time-series related work since my Bachelor in Computer Science (with Mathematics as a minor) when I did my Bachelor Thesis under the supervision of Mourad Khayati, after which I have worked at eXascale Infolab as a programmer for two years. My current research focus is matrix decompositions, time series analysis and data cleaning.

Publications

1. Mourad Khayati, Ines Arous, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams.” In Proceedings of the VLDB Endowment (PVLDB), Vol. 14, 2021. Bibtex PDF Code Poster

   ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams

   Mourad Khayati, Ines Arous, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams.” In Proceedings of the VLDB Endowment (PVLDB), Vol. 14, 2021.

   @inproceedings{khayati2021vldb,
     author = {Khayati, Mourad and Arous, Ines and Tymchenko, Zakhar and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams},
     booktitle = {Proceedings of the VLDB Endowment (PVLDB)},
     volume = {14},
     number = {3},
     year = {2021},
     code = {https://github.com/eXascaleInfolab/orbits},
     poster = {https://exascale.info/assets/pdf/khayati2021vldb_poster.pdf},
     url = {http://www.vldb.org/pvldb/vol14/p294-khayati.pdf}
   }
   

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2. Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series.” In Proceedings of the VLDB Endowment (PVLDB), Vol. 13, 2020. Bibtex PDF Code Award

   Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series

   Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series.” In Proceedings of the VLDB Endowment (PVLDB), Vol. 13, 2020.

   @inproceedings{khayati2020vldb,
     author = {Khayati, Mourad and Lerner, Alberto and Tymchenko, Zakhar and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series},
     booktitle = {Proceedings of the VLDB Endowment (PVLDB)},
     volume = {13},
     number = {5},
     year = {2020},
     code = {https://github.com/eXascaleInfolab/bench-vldb20},
     url = {http://www.vldb.org/pvldb/vol13/p768-khayati.pdf},
     award = {https://vldb2020.org/vldb-2020-awards.html#most-reproducible-paper-award}
   }
   

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Student Supervision

MSc/BSc

• Available proposals:
  • ImputeVIS: Visualizing Time Series Recovery using ImputeBench (BSc/MSc, available) [PDF].