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.
- 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
- 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
- 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