Brief Bio

Mourad Khayati is a Senior researcher at the Department of Computer Science of the University of Fribourg, Switzerland. He did his PhD at University of Zurich, Switzerland, under the supervision of Prof. Michael Böhlen. He is leading the technical committee of the H2020 European project FashionBrain and is the principal investigator of the D-A-CH ProvDS project.

Research Interests

Time Series, recovery of missing values, and matrix decomposition techniques.

Selected Publications

  1. Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux. “Accuracy Evaluation of Overlapping and Multi-Resolution Clustering Algorithms on Large Datasets.” In Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019), 2019. Bibtex PDF
  2. Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, Ying Zhang, Martin Kersten, and Svetlin Stalinlov. “RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series.” In 35th IEEE International Conference on Data Engineering (ICDE 2019). Macau, China, 2019. Bibtex
  3. Artem Lutov, Soheil Roshankish, Mourad Khayati, and Philippe Cudré-Mauroux. “StaTIX — Statistical Type Inference on Linked Data.” In Proceedings of the IEEE BigData 2018 - 4th Special Session on Intelligent Data Mining, 2018. Bibtex PDF
  4. Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux. “Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures.” In Proceedings of the 2018 IEEE International Conference on Data Mining (ICDM), 1481–86, 2018. Bibtex Slides PDF
  5. Andrea Martini, Artem Lutov, Valerio Gemmetto, Andrii Magalich, Alessio Cardillo, Alex Constantin, Vasyl Palchykov, et al. “ScienceWISE: Topic Modeling over Scientific Literature Networks.” ArXiv e-Prints, 2016. Bibtex PDF
  6. Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, and Michal Piorkowski. “Online Anomaly Detection over Big Data Streams.” In 2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, Oct 27- Nov 01, 2015. Bibtex PDF
  7. Mourad Khayati, Philippe Cudré-Mauroux, and Michael H. Böhlen. “Using Lowly Correlated Time Series to Recover Missing Values in Time Series: a Comparison between SVD and CD.” In Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2015, Seoul, South Korea, August 26-28, 2015. Proceedings, 2015. Bibtex PDF
  8. Mourad Khayati, Michael H. Böhlen, and Johann Gamper. “Memory-Efficient Centroid Decomposition for Long Time Series.” In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014, 100–111, 2014. Bibtex PDF
  9. Mourad Khayati, and Michael H. Böhlen. “REBOM: Recovery of Blocks of Missing Values in Time Series.” In Proceedings of the 18th International Conference on Management of Data, COMAD 2012, 2012, Pune, India, 44–55, 2012. Bibtex PDF


Current Projects


Student Projects