Brief Bio

Abdelouahab Khelifati is a PhD student at eXascale Infolab in Switzerland. He has worked on various topics related to time series analytics including data compression, data augmentation, anomaly detection, and benchmarking databases. He has recently published an extensive benchmark on time series database systems at the 49th International Conference on Very Large (PVLDB 2023). Before starting his PhD, he obtained two Master’s degrees in Computer Science at the Higher National School of Computer Science (ESI) in Algiers (Algeria) and University Paul Sabatier in Toulouse (France), respectively. He also spent some time working as a research engineer at the IRIT Lab 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
  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
  3. Abdelouahab Khelifati, M. Khayati, and Philippe Cudré-Mauroux. “CORAD: Correlation-Aware Compression of Massive Time Series Using Sparse Dictionary Coding.” In BigData, 2019. Bibtex PDF Code