Brief Bio

Abdelouahab Khelifati is a PhD candidate at eXascale Infolab in Switzerland. He has worked on various topics including data compression, data augmentation, anomaly detection, and benchmarking databases. His work resulted in peer-reviewed publications and successful cross-functional collaborations. Before starting his PhD, Abdelouahab 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 visiting scholar at the University of Queensland in Australia.

  1. Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, Anton Dignös, Djellel Difallah, and Philippe Cudré-Mauroux. “SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications .” Proceedings of the VLDB Endowment (PVLDB). Demo Track 17, no. 1 (2024): 4361–64. Bibtex PDF Code
  2. 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
  3. 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). Demo Track. Greece, 2021. Bibtex PDF Code
  4. 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