khayati.jpg

C433, Bd de Pérolles 90

1700 Fribourg, Switzerland

E-mail: mourad.khayati@unifr.ch

Phone: +41 26 300 8460

Mourad Khayati is a Senior Lecturer at the Department of Computer Science of the University of Fribourg, Switzerland. Prior to that he was a Senior Researcher in the eXascale Infolab group at the same university. He obtained his PhD from the University of Zurich, Switzerland, under the supervision of Prof. Michael Böhlen. His research interests lie in the field of Time Series analytics, with a special focus on data cleaning, missing values imputation, and large-scale data management.

He regularly serves in the review boards of top-tier database and data engineering venues, including the VLDB Journal, TKDE, KDD, and EDBT. He has served as a Senior Program Committee member for KDD 2026, KDD 2025, and CIKM 2020, and has mentored PhD students at several conferences, such as EDBT, CIKM and WISE. He led several projects, including a H2020 project and an SNF/DFG collaboration with TU Berlin. Over the years, he developed a number of time series tools, made them open-source, and actively participated in promoting reproducibility.

Selected Tools

Recent News

Oct 01, 2025 I will serve as Area Chair for KDD 2026.
Sep 19, 2025 Invited talk at the University of New South Wales Sydney in Australia.
Aug 11, 2025 Invited talk at the University of Concordia in Canada.
Jul 13, 2025 ImputeGAP library v1.1.1 is officially out :gem:
Jun 11, 2025 Oustanding PC Award from KDD 2025.

Selected Publications

  1. KDD
    A Hands-on Tutorial on Time Series Imputation with ImputeGAP
    Quentin Nater, Mourad Khayati, and Philippe Cudré-Mauroux
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, Toronto, ON, Canada, August 3-7, 2025
  2. VLDBJ
    A Survey of Multimodal Event Detection based on Data Fusion
    Manuel Mondal, Mourad Khayati, Hông-Ân Sandlin, and 1 more author
    VLDB J., 2025
    DOI
  3. ICDE
    A-DARTS: Stable Model Selection for Data Repair in Time Series
    Mourad Khayati, Guillaume Chacun, Zakhar Tymchenko, and 1 more author
    In 41st IEEE International Conference on Data Engineering, ICDE, Hong Kong, May 19-23, 2025
    DOI
  4. PVLDB
    SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
    Luca Althaus, Mourad Khayati, Abdelouahab Khelifati, and 3 more authors
    Proc. VLDB Endow., 2024
    DOI
  5. PVLDB
    ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
    Mourad Khayati, Quentin Nater, and Jacques Pasquier
    Proc. VLDB Endow., 2024
    DOI
  6. PVLDB
    TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications
    Abdelouahab Khelifati, Mourad Khayati, Anton Dignös, and 2 more authors
    Proc. VLDB Endow., 2023
    DOI
  7. ICDE
    VADETIS: An Explainable Evaluator for Anomaly Detection Techniques
    Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux, and 3 more authors
    In 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021
    DOI
  8. WWW
    Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
    Ines Arous, Jie Yang, Mourad Khayati, and 1 more author
    In WWW ’21: The Web Conference, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
    DOI
  9. KAIS
    Scalable recovery of missing blocks in time series with high and low cross-correlations
    Mourad Khayati, Philippe Cudré-Mauroux, and Michael H. Böhlen
    Knowl. Inf. Syst., 2020
    DOI
  10. PVLDB
    ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams
    Mourad Khayati, Ines Arous, Zakhar Tymchenko, and 1 more author
    Proc. VLDB Endow., 2020
    DOI
  11. PVLDB
    Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series
    Mourad Khayati, Alberto Lerner, Zakhar Tymchenko, and 1 more author
    Proc. VLDB Endow., 2020
    DOI
  12. WWW
    OpenCrowd: A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation
    Ines Arous, Jie Yang, Mourad Khayati, and 1 more author
    In WWW ’20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
    DOI
  13. ICDE
    RecovDB: Accurate and Efficient Missing Blocks Recovery for Large Time Series
    Ines Arous, Mourad Khayati, Philippe Cudré-Mauroux, and 3 more authors
    In 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, 2019
    DOI
  14. ICDE
    Memory-efficient centroid decomposition for long time series
    Mourad Khayati, Michael H. Böhlen, and Johann Gamper
    In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014, 2014
    DOI