Brief Bio

Mourad Khayati is a Senior researcher at the Department of Computer Science of the University of Fribourg, Switzerland. He obtained his PhD from the University of Zurich, Switzerland, under the supervision of Prof. Michael Böhlen. His research interests include Time Series analytics, data repair and recovery of missing values. His time series benchmark won the VLDB 2020 Most Reproducible Paper Award.

Open Source Software

• ImputeBench: Time Series Imputation Benchmark (paper_vldb20, code)
• RecovDB: Time Series Repair inside MonetDB (paper_icde19, code, GUI)
• CDRec: Recovery of Missing Blocks in Time Series using CD (paper_icde14, code, GUI)

Teaching & Projects

• Teaching:
  • Fall 2020: Social Media Analytics: Data Science Seminar
  • Spring 2020: Social Media Analytics
• Projects:
  • ProvDS (D-A-CH project): Principal investigator, 1.06.2018-31.05.2021
  • FashionBrain (H2020 European project), Technical lead, 1.1.2017-31.12.2019

Student Theses

• Available theses:
  • BSc/MSc Thesis: Benchmark of Time Series Prediction Techniques.
  • BSc/MSc Thesis: Real-time Clustering of Time Series Streams.
• Ongoing theses:
  • BSc Thesis: Comparison of Synthetic Time Series Data Generation Techniques.
  • MSc Thesis: Multiclass Classification of Open-ended Answers.
  • MSc Thesis: Benchmark of Time Series Management Systems.
  • MSc Thesis: Online Anomaly Detection on Wikipedia Page Views.

Selected Publications (DBLP)

1. Mourad Khayati, Ines Arous, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams.” In Proceedings of the VLDB Endowment, Vol. 14, 2021. Bibtex PDF Code

   ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams

   Mourad Khayati, Ines Arous, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams.” In Proceedings of the VLDB Endowment, Vol. 14, 2021.

   @inproceedings{khayati2021vldb,
     author = {Khayati, Mourad and Arous, Ines and Tymchenko, Zakhar and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {ORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams},
     booktitle = {Proceedings of the VLDB Endowment},
     volume = {14},
     number = {3},
     year = {2021},
     code = {https://github.com/eXascaleInfolab/orbits},
     url = {http://www.vldb.org/pvldb/vol14/p294-khayati.pdf}
   }
   

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2. Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series.” In Proceedings of the VLDB Endowment, Vol. 13, 2020. Bibtex PDF Code Award

   Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series

   Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, and Philippe Cudré-Mauroux. “Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series.” In Proceedings of the VLDB Endowment, Vol. 13, 2020.

   @inproceedings{khayati2020vldb,
     author = {Khayati, Mourad and Lerner, Alberto and Tymchenko, Zakhar and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series},
     booktitle = {Proceedings of the VLDB Endowment},
     volume = {13},
     number = {5},
     year = {2020},
     code = {https://github.com/eXascaleInfolab/bench-vldb20},
     url = {http://www.vldb.org/pvldb/vol13/p768-khayati.pdf},
     award = {https://vldb2020.org/vldb-2020-awards.html}
   }
   

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3. Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.” In Proceedings of the Web Conference (WWW 2020). Taipei, Taiwan, 2020. Bibtex Slides PDF Code Video

   OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation

   Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. “OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation.” In Proceedings of the Web Conference (WWW 2020). Taipei, Taiwan, 2020.

   @inproceedings{arous2020www,
     title = {OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation},
     author = {Arous, Ines and Yang, Jie and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe},
     booktitle = {Proceedings of the Web Conference (WWW 2020)},
     year = {2020},
     address = {Taipei, Taiwan},
     url = {https://exascale.info/assets/pdf/arous2020www.pdf},
     note = {https://exascale.info/assets/pdf/arous2020www-slides.pdf},
     video = {https://www.youtube.com/watch?v=LOPgd-8TS-k&list=PLJNwhMK_V7EwEzlo9exv6COBKA3MQ28KW&index=3&ab_channel=TheWebConference2020Web},
     code = {https://github.com/eXascaleInfolab/OpenCrowd}
   }
   

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4. 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 PDF Code Poster Tool

   RecovDB: accurate and efficient missing blocks recovery for large time series

   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.

   @inproceedings{arous2019icde,
     title = {RecovDB: accurate and efficient missing blocks recovery for large time series},
     author = {Arous, Ines and Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe and Zhang, Ying and Kersten, Martin and Stalinlov, Svetlin},
     booktitle = {35th IEEE International Conference on Data Engineering (ICDE 2019)},
     year = {2019},
     address = {Macau, China},
     url = {https://exascale.info/assets/pdf/recovdb19.pdf},
     code = {https://github.com/eXascaleInfolab/2018-RecovDB},
     poster = {https://exascale.info/assets/pdf/recovdb2019poster.pdf},
     tool = {https://exascale.info/projects/recovdb/}
   }
   

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5. Mourad Khayati, Philippe Cudré-Mauroux, and Michael H. Böhlen. “Scalable Recovery of Missing Blocks in Time Series with High and Low Cross-Correlations.” In International Journal of Knowledge and Information Systems (KAIS), 2019. Bibtex PDF Code

   Scalable Recovery of Missing Blocks in Time Series with High and Low cross-Correlations

   Mourad Khayati, Philippe Cudré-Mauroux, and Michael H. Böhlen. “Scalable Recovery of Missing Blocks in Time Series with High and Low Cross-Correlations.” In International Journal of Knowledge and Information Systems (KAIS), 2019.

   @inproceedings{khayati2019kais,
     author = {Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe and B{\"o}hlen, Michael H.},
     title = {Scalable Recovery of Missing Blocks in Time Series with High and Low cross-Correlations},
     booktitle = {International Journal of Knowledge and Information Systems (KAIS)},
     year = {2019},
     url = {https://rdcu.be/b32bv},
     code = {https://github.com/eXascaleInfolab/2019_kais-bench}
   }
   

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6. Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux. “Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures (Demo).” In 2018 IEEE International Conference on Data Mining (ICDM), Singapore, Singapore, November 17-20, 2018, 1481–86, 2018. Bibtex Slides PDF

   Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures (Demo)

   Artem Lutov, Mourad Khayati, and Philippe Cudré-Mauroux. “Clubmark: A Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures (Demo).” In 2018 IEEE International Conference on Data Mining (ICDM), Singapore, Singapore, November 17-20, 2018, 1481–86, 2018.

   @inproceedings{clubmark18,
     author = {Lutov, Artem and Khayati, Mourad and Cudr{\'{e}}{-}Mauroux, Philippe},
     title = {Clubmark: {A} Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on {NUMA} Architectures (Demo)},
     booktitle = {2018 {IEEE} International Conference on Data Mining (ICDM), Singapore, Singapore, November 17-20, 2018},
     pages = {1481--1486},
     year = {2018},
     doi = {10.1109/ICDMW.2018.00212},
     url = {https://exascale.info/assets/pdf/icdm18_clubmark.pdf},
     note = {https://www.slideshare.net/ArtemVL/clubmark-a-parallel-isolation-framework-for-benchmarking-and-profiling-clustering-algorithms-icdm18-demo-poster}
   }
   

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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

   Using Lowly Correlated Time Series to Recover Missing Values in Time Series: a Comparison between SVD and CD

   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.

   @conference{DBLP:conf/ssd/KhMB15,
     title = {Using Lowly Correlated Time Series to Recover Missing Values in Time Series: a Comparison between SVD and CD},
     booktitle = {Advances in Spatial and Temporal Databases - 15th International Symposium, {SSTD} 2015, Seoul, South Korea, August 26-28, 2015. Proceedings},
     year = {2015},
     author = {Khayati, Mourad and Cudr{\'e}-Mauroux, Philippe and B{\"o}hlen, Michael H.},
     url = {https://exascale.info/assets/pdf/khayati_sstd15.pdf}
   }
   

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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 Code

   Memory-efficient centroid decomposition for long time series

   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.

   @conference{DBLP:conf/icde/KhayatiBG14,
     title = {Memory-efficient centroid decomposition for long time series},
     booktitle = { {IEEE} 30th International Conference on Data Engineering, Chicago, {ICDE} 2014, IL, USA, March 31 - April 4, 2014},
     year = {2014},
     pages = {100{\textendash}111},
     doi = {10.1109/ICDE.2014.6816643},
     url = {https://exascale.info/assets/pdf/khayati_ICDE14.pdf},
     author = {Khayati, Mourad and B{\"o}hlen, Michael H. and Gamper, Johann},
     code = {https://github.com/eXascaleInfolab/cdrec}
   }
   

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