Ziawasch Abedjan

Ziawasch Abedjan is a full professor of computer science and chair of the Data Integration and Data Preparation Group at Technische Universität Berlin and the BIFOLD center of excellence.

Current Projects: TDC2 NFDI4DS

Completed Projects: TDC1

Team

The D2IP Lab (data management for data science laboratory) is a cross-organizational research group uniting the chair for big data engineering at TU Berlin and external members from multiple universities and

PhD students:

Dr. Binger Chen (since 09/2020)
Mahdi Esmailoghli (since 09/2019)
Fedor Turchenko (since 03/2018)
Fatemeh Ahmadi (since 05/2021)
Dakai Men (since 05/2021)
Muaid Mughrabi (since 01/2024)
Sebastian Eggers (since 10/2023)

PhD Alumnus: Dr. Larysa Visengeriyeva, Prof. Dr. Mohammadi Mahdavi, Dr. Felix Neutatz

We're looking for motivated PhD, master, and bachelor students to join our team. Our research focuses on building ML systems and tools for simplifying the data science liefecycle – from data integration over model training to deployment and scoring – If you're interested in working with us, please contact me directly.

New Master/Bachelor Theses:
In order to make the process of matching topics to students more scalable, while ensuring a high-quality of supervision, as of Jan 2024, we are introducing the following process:

Open thesis topics are listed at TU Berlin (I)STROD (direct link)
The entire process is described under thesis process.

Publications

VLDB Journal 2023 PDF Code: "AutoML in Heavily Constrained Applications": Felix Neutatz, Marius Lindauer, Ziawasch Abedjan. VLDB Journal. 2023.
Künstliche Intelligenz 2022 PDF: "What is “Good” Training Data? - Data Quality Dimensions that Matter for Machine Learning": Felix Neutatz, Ziawasch Abedjan. Künstliche Intelligenz - Wie gelingt eine vertrauenswürdige Verwendung in Deutschland und Europa?. 2022.
Datenbank-Spektrum 2022 PDF Code: "Data Cleaning and AutoML: Would an optimizer choose to clean?": Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan. In Proceedings of Datenbank-Spektrum. 2022.
VLDB 2021 PDF Video Slides Poster Code: "Automated Feature Engineering for Algorithmic Fairness": Ricardo Salazar Diaz, Felix Neutatz, Ziawasch Abedjan. In Proceedings of the International Conference on Very Large Data Bases. 2021.
SIGMOD 2021 PDF 5 min Video 20 min Video 5 min Slides 20 min Slides Code: "Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study": Felix Neutatz, Felix Bießmann, Ziawasch Abedjan. In Proceedings of the International Conference on Management of Data. 2021.
CIKM 2019 PDF Code Slides Poster: "ED2: A case for active learning in error detection": Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019.
LWDA 2019 PDF Slides Poster: "Towards automated data cleaning workflows": Mohammad Mahdavi, Felix Neutatz, Larysa Visengeriyeva, Ziawasch Abedjan. In Proceedings of the Conference on "Learning. Knowledge. Data. Analytics.". 2019.
IEEE Data Eng. Bull. 2021 PDF Video: "From Cleaning before ML to Cleaning for ML": Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu. IEEE Data Engineering Bulletin. 2021.
arXiv PDF: "Blend: A Unified Data Discovery System": Mahdi Esmailoghli, Christoph Schnell, Renée J. Miller, Ziawasch Abedjan. 2023.
SIGMOD 2023 PDF: "Demonstrating MATE and COCOA for Data Discovery": Jannis Becktepe, Mahdi Esmailoghli, Maximilian Koch, Ziawasch Abedjan. International Conference on Management of Data. 2023.
BTW 2023 PDF: "Duplicate Table Discovery with Xash": Maximilian Koch, Mahdi Esmailoghli, , Sören Auer, Ziawasch Abedjan. Conference on Database Systems for Business, Technology and Web. 2023.
VLDB 2022 PDF Video Slides Poster Code: "MATE: multi-attribute table extraction": Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan. In Proceedings of the International Conference on Very Large Data Bases. 2022.
EDBT 2021 PDF Video Slides Code: "COCOA: COrrelation COefficient-Aware Data Augmentation.": Mahdi Esmailoghli, Jorge-Arnulfo Quiané-Ruiz, Ziawasch Abedjan. International Conference on Extending Database Technology (EDBT). 2021.
BTW 2021 PDF: "Combining Programming-by-Example with Transformation Discovery from large Databases": Aslihan Özmen, Mahdi Esmailoghli, Ziawasch Abedjan. Conference on Database Systems for Business, Technology and Web. 2021.
Informatik Spektrum 2020 PDF: "Data Science für alle: Grundlagen der Datenprogrammierung": Ziawasch Abedjan, Hagen Anuth, Mahdi Esmailoghli, Mohammad Mahdavi, Felix Neutatz, Binger Chen. Informatik Spektrum. 2020.
CIDR 2020 PDF: "CAFE: Constraint-Aware Feature Extraction from Large Databases": Mahdi Esmailoghli, Ziawasch Abedjan. The Conference on Innovative Data Systems Research (CIDR). 2020.
Datenbank-Spektrum 2019 PDF Slides: "Particulate matter matters—the data science challenge@ BTW 2019": Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava. Datenbank-Spektrum. 2019.
BTW 2019 PDF: "Explanation of Air Pollution Using External Data Sources": Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl. Conference on Database Systems for Business, Technology and Web. 2019.

Teaching

Summer 2024

Programmierpraktikum: Datensysteme (Practicals). [course website]

Service

Memberships and Roles:

Advisory Board COMET Know Center Graz
Member of ACM and GI
L3S member 2020-2024
BIFOLD Fellow 2020-2024
CIDR ADvisory Board 2019-now

Conference Organization and Editorship:

Associate Editor ACM JDIQ
Social Media Chair SIGMOD 2025
BTW Reproducibility chair 2023/2025
Co-Sponsorship Chair ICDE 2023
Co-Program Chair LWDA 2022
VLDB PhD Workshop co-chair 2020
SIGMOD 2019 proceedings chair
CIDR 2017 publicity chair, CIDR 2019-2023 website chair

Reviewing: This list summarizes most recent PC memberships:

Program Committee SIGMOD 2025, PVLDB 2025
Program Committee SIGMOD 2024, PVLDB 2024, QDB@PVLDB 2024, ECML/PKDD, ICDE 2024 (Industrial Track)
Program Committee SIGMOD 2023, PVLDB 2023, QDB@PVLDB 2023, CIKM (SPC) 2023
Program Committee PVLDB 2022, SIGMOD 2022, KDD 2022, EDBT (SPC) 2022, CIKM (SPC) 2022
Program Committee PVLDB 2021, ICDE 2021, KDD 2021, EDBT 2021, CIKM (SPC) 2021, BTW 2021
Program Committee SIGMOD 2020, PVLDB 2020, ICDE 2020, CIKM 2020
Program Committee SIGMOD 2019 (Demo Track), ICDE 2019, CIDR 2019, CIKM 2019, EDBT 2019, BTW 2019
Program Committee SIGMOD 2018, PVLDB 2018, ICDE 2018 (Poster Track)
Program Committee EDBT 2017
Program Committee SIGMOD 2016 (Demo Track)

Reviewing: This list summarizes most recent Journal review activities:

Journal of Data and Information Quality (JDIQ)
Information Systems Journal (IS)
ACM Transactions on the Web (ToTW)
ACM Transactions on Knowledge Discovery in Data (TKDD)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
VLDB Journal (VLDBJ)
Communications of the ACM (CACM)
Datenbankspektrum

PhD Committee Memberships (completed):

Awards

First Prize of the GI Data Science Challenges, BTW 2023, with Dakai Men, Jannis Becktepe, Mahdi Esmailoghli and David Bermbach
SIGMOD 2019 Reproducibility Award for "Raha: A Configuration-free Error Detection System", with Mohammad Mahdavi, Ziawasch Abedjan, Raul C-Fernandez, Sam Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang
GI Juniorfellow 2019
First Prize of the GI Data Science Challenges, BTW 2019, "Explanation of Air Pollution Using External Data Sources." with Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ariane Ziehn, Ziawasch Abedjan, Tilmann Rabl, Volker Markl
Best Demo Award, SIGMOD 2015:"DataXFormer:An Interactive Data Transformation Tool" with John Morcos, Ihab Ilyas, Mourad Ouzzani, Paolo Papotti, and Michael Stonebraker
Best Dissertation Award 2013/2014, University of Potsdam, Germany (Preis der Universitaetsgesellschaft Potsdam e.V.)
Best Student Paper Award, CIKM 2014: "DFD: Efficient Discovery of Functional Dependencies" with Patrick Schulze and Felix Naumann
Best Workshop Paper Award, Know@LOD 2014: "Amending RDF Entities with new Facts", with Felix Naumann
Scholarship of the HPI Research School

Acknowledgements

Our research group is grateful for funding support from