Brief Bio

I am a PhD student at eXascale Infolab in Switzerland, working with Dr. Mourad Khayati and Prof. Philippe Cudré-Mauroux. During my PhD, I have worked on massive data series analysis, machine learning approaches for data augmentation, data compression, and benchmarking databases. I have published 3 articles in top conferences, including my recent benchmark paper, which was published at VLDB. Before that, I obtained two Master’s degrees in computer sciences at Higher school of computer science (ESI) in Algeria and University Paul Sabatier in France. Finally, before starting my PhD, I also worked as a research engineer at the computer science Lab IRIT in France.

1. Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.” In Proceedings of the VLDB Endowment, 16:3363–76, 2023. Bibtex PDF

   TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications

   Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications.” In Proceedings of the VLDB Endowment, 16:3363–76, 2023.

   @inproceedings{khelifati2023vldb,
     author = {Khelifati, Abdelouahab and Khayati, Mourad and Dignös, Anton and Difallah, Djellel and Cudré-Mauroux, Philippe},
     title = {TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications},
     booktitle = {Proceedings of the VLDB Endowment},
     volume = {16},
     number = {11},
     pages = {3363--3376},
     year = {2023},
     doi = {10.14778/3611479.3611532},
     url = {https://www.vldb.org/pvldb/vol16/p3363-khelifati.pdf}
   }
   

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2. Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, and Manfred Hauswirth. “VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.” In Proceedings of the IEEE International Conference on Data Engineering (ICDE 2021). Demo Track. Greece, 2021. Bibtex PDF Code

   VADETIS: An Explainable Evaluator for Anomaly Detection Techniques

   Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, Adrian Hänni, Qian Liu, and Manfred Hauswirth. “VADETIS: An Explainable Evaluator for Anomaly Detection Techniques.” In Proceedings of the IEEE International Conference on Data Engineering (ICDE 2021). Demo Track. Greece, 2021.

   @inproceedings{khelifati2021icde,
     title = {VADETIS: An Explainable Evaluator for Anomaly Detection Techniques},
     author = {Khelifati, Abdelouahab and Khayati, Mourad and Cudr{\'{e}}{-}Mauroux, Philippe and Hänni, Adrian and Liu, Qian and Hauswirth, Manfred},
     booktitle = {Proceedings of the IEEE International Conference on Data Engineering (ICDE 2021). Demo Track},
     year = {2021},
     address = {Greece},
     url = {https://exascale.info/assets/pdf/vadetis-icde2021.pdf},
     code = {https://github.com/eXascaleInfolab/vadetis.git}
   }
   

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3. Abdelouahab Khelifati, Mourad Khayati, and Philippe Cudré-Mauroux. “CORAD: Correlation-Aware Compression of Massive Time Series Using Sparse Dictionary Coding.” In BigData, 2019. Bibtex PDF Code

   CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding

   Abdelouahab Khelifati, Mourad Khayati, and Philippe Cudré-Mauroux. “CORAD: Correlation-Aware Compression of Massive Time Series Using Sparse Dictionary Coding.” In BigData, 2019.

   @inproceedings{khelifati2019bigdata,
     author = {Khelifati, Abdelouahab and Khayati, Mourad and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding},
     booktitle = {BigData},
     year = {2019},
     url = {https://exascale.info/assets/pdf/khelifati2019bigdata.pdf},
     code = {https://github.com/eXascaleInfolab/CORAD}
   }
   

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