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, Guillaume Chacun, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “A-DARTS: Stable Model Selection for Data Repair in Time Series.” Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE), 2025. Bibtex PDF Code

   A-DARTS: Stable Model Selection for Data Repair in Time Series

   Mourad Khayati, Guillaume Chacun, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “A-DARTS: Stable Model Selection for Data Repair in Time Series.” Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE), 2025.

   @article{khayati2025adarts,
     title = {A-DARTS: Stable Model Selection for Data Repair in Time Series},
     author = {Khayati, Mourad and Chacun, Guillaume and Tymchenko, Zakhar and Cudr{\'{e}}{-}Mauroux, Philippe},
     booktitle = {Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE)},
     year = {2025},
     url = {/assets/pdf/khayati2025icde.pdf},
     code = {https://github.com/eXascaleInfolab/recimpute}
   }
   

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2. 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, Vol. 14. (Reproducibilty Highlights Mention), 2021. Bibtex PDF Code

   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, Vol. 14. (Reproducibilty Highlights Mention), 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},
     series = {{(Reproducibilty highlights mention)}},
     volume = {14},
     number = {3},
     year = {2021},
     code = {https://github.com/eXascaleInfolab/orbits},
     url = {http://www.vldb.org/pvldb/vol14/p294-khayati.pdf}
   }
   

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3. 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. (Best E&A Paper Award), 2020. Bibtex PDF Code

   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. (Best E&A Paper Award), 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},
     series = {{(Best E&A Paper Award)}},
     code = {https://github.com/eXascaleInfolab/bench-vldb20},
     url = {http://www.vldb.org/pvldb/vol13/p768-khayati.pdf}
   }
   

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Student Supervision

MSc/BSc

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