Hazar Harmouch

I am a member of the Intelligent Data Engineering Lab at the Informatics Institute of the University of Amsterdam, Netherlands. My research focus is on the field of data quality for and with machine learning.

Before that, I was a Postdoc at the Information Systems Group at the Hasso Plattner Institute, University of Potsdam. During my doctoral research at the same group, I worked in the field of data profiling with the aim of developing algorithms for efficiently processing and analyzing large volumes of data.

Beyond my research, I am also interested in keeping up with the latest developments in machine learning, data management, and integration. I am also constantly looking for new collaboration opportunities! Outside of work, I enjoy traveling, reading, cooking and training.

Research interests

Data quality for AI (fairness, non-discrimination, privacy)
Data profiling, integration and cleaning
Data mining and machine learning
Similarity search

News

Sep 06, 2024	I will be one of the tutorial chairs of ICDE 2025 together with Helen Huang, The University of Queensland, Australia and Yongxin Tong, Beihang University, China.
Aug 23, 2024	Organizing QDB24@ VLDB24 in Guangzhou, China
Jul 14, 2024	I will serve as a Program Committee member at ICDE 2025.
May 01, 2024	I will be in Chile attending SIGMOD24 . Come and say hi!
Apr 15, 2024	I will be attending ICDE24 in Utrecht. Come and say hi!
Apr 14, 2024	Our Frontiers Research Topic Contesting Artificial Intelligence: Communicative Practices, Organizational Structures, and Enabling Technologies is approved! Manuscript Summary Submission Deadline 30 September 2024 and Manuscript Submission Deadline 31 March 2025! My co-topic editors and I would be happy to receive your work!
Mar 22, 2024	I will be part of the Panel discussion: Diversity and Inclusion, and AI on the 11th of April. Please join us!
Mar 07, 2024	I will serve as a Program Committee member at BTW 2025.
Dec 14, 2023	A proposal for a special issue titled “Data quality dimensions in Data FAIRification design and processes” by me, Anna Bernasconi, Stefano Cirillo, and Alberto García Simon has been accepted by the JDIQ journal . The submission deadline will be end of November 2024. Stay tuned for the call for papers.
Dec 14, 2023	I will serve as a Program Committee member at SIGMOD 2025.
Nov 20, 2023	I am attending the The Federal Government DIGITAL SUMMIT 2023 in Jena, Germany (invite only) to contribute my expertise regarding data quality importance for AI applications.
Oct 31, 2023	I will serve as a Program Committee member of the 3rd International workshop on Databases and Machine Learning (DBML) in conjunction with ICDE 2024 in Utrecht, Netherlands.
Jul 18, 2023	On 1st of November, I will start as an assistant professor at the university of Amesterdam - INDE Lab .
Apr 06, 2023	I will serve as a Program Committee member for the database track of LWDA 2023.
Feb 09, 2023	Co-organizing QDB workshop at VLDB 2023
Nov 02, 2022	I am speaking about our KITQAR project at the first AI Quality summit-Frankfurt am Main.
Oct 31, 2022	I will serve as a Program Committee member of the DBML Workshop at ICDE 2023.
May 09, 2022	I will serve as a Demo Program Committee member at BTW 2023.
Dec 13, 2021	I will serve as a Program Committee member of the DBML Workshop at ICDE 2022
Nov 08, 2021	An article about our project "sales comparison approach"
Feb 16, 2021	I will serve as a Program Committee member at SIGMOD 2022.
Feb 12, 2021	Papers accepted at ICDE 2021
Aug 17, 2020	I defended my PhD and officially Frau Dr. Harmouch!
Jul 09, 2020	I will serve as a Demo Program Committee member at BTW 2021.
Mar 04, 2020	After four years of hard work, I handed in my PhD. thesis today I am going to stay at HPI as a Postdoc with Prof. Dr. Felix Naumann.
Aug 09, 2019	Papers accepted at CIKM 2019
Mar 16, 2018	Metanome data profiling platform wins a prize
Mar 16, 2018	Paper marked as reproducible by pVLDB Reproducibility Committee
Mar 16, 2018	Papers accepted at VLDB 2018
Nov 15, 2017	Experimental survey accepted at VLDB 2018
Jun 22, 2016	Article published in the IEEE Data Engineering Bulletin journal
Oct 01, 2015	I started my PhD. studies at HPI, Germany under the supervision of Prof. Dr. Felix Naumann.

Recent Publications

A Data Quality Glossary

Sedir Mohammed , Lou Therese Brandner , Felicia Burtscher , Sebastian Hallensleben , Hazar Harmouch, Andreas Hauschke , Jessica Heesen , Stefanie Hildebrandt , Simon David Hirsbrunner , Julia Keselj , Philipp Mahlow , Marie Massow , Felix Naumann , Frauke Rostalski , Anna Wilken , and Annika Wölke

Jan 2024

Bib PDF

@manual{mohammed_2024_10474880,
  title = {A Data Quality Glossary},
  author = {Mohammed, Sedir and Brandner, Lou Therese and Burtscher, Felicia and Hallensleben, Sebastian and Harmouch, Hazar and Hauschke, Andreas and Heesen, Jessica and Hildebrandt, Stefanie and Hirsbrunner, Simon David and Keselj, Julia and Mahlow, Philipp and Massow, Marie and Naumann, Felix and Rostalski, Frauke and Wilken, Anna and Wölke, Annika},
  month = jan,
  year = {2024},
  doi = {10.5281/zenodo.10474880},
  url = {https://doi.org/10.5281/zenodo.10474880},
}

The Five Facets of Data Quality Assessment

Sedir Mohammed , Lisa Ehrlinger , Hazar Harmouch, Felix Naumann , and Divesh Srivastava

SIGMOD Records, Jan 2024

Abs Bib

Data-oriented applications, their users, and even the law require data of high quality. Research has divided the rather vague notion of data quality into various dimensions, such as accuracy, consistency, and reputation. To achieve the goal of high data quality, many tools and techniques exist to clean and otherwise improve data. Yet, systematic research on actually assessing data quality in its dimensions is largely absent, and with it, the ability to gauge the success of any data cleaning effort. We propose five facets as ingredients to assess data quality: data, source, system, task, and human. Tapping each facet for data quality assessment poses its own challenges. We show how overcoming these challenges helps data quality assessment for those data quality dimensions mentioned in Europe’s AI Act. Our work concludes with a proposal for a comprehensive data quality assessment framework
@article{mohammed2024data, title = {The Five Facets of Data Quality Assessment}, author = {Mohammed, Sedir and Ehrlinger, Lisa and Harmouch, Hazar and Naumann, Felix and Srivastava, Divesh}, journal = {SIGMOD Records}, year = {2024}, }

Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy

Sedir Mohammed , Felix Naumann , and Hazar Harmouch

EDBT 2025, Jan 2024

Abs Bib PDF

@article{mohammed2024commet,
  title = {Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy},
  author = {Mohammed, Sedir and Naumann, Felix and Harmouch, Hazar},
  journal = {EDBT 2025},
  year = {2024},
}