Felix Neutatz

Research associate at the Database Systems and Information Management Group of TU Berlin.

I am PhD student supervised by Prof. Dr. Ziawasch Abedjan and I am a member of his Databases and Information Systems Group of Leibniz Universität Hannover. From 2018 to 2020, I worked as a research associate at the Intelligent Analytics for Massive Data Group at the German Research Center for Artificial Intelligence (DFKI). I received my M.Sc degree at TU Berlin and worked as a student research assistant at the Database Systems and Information Management Group (DIMA) for two and a half years. During my masters, I studied one semester as an exchange student at Shanghai Jiao Tong University. Prior to that, I received my B.Sc degree at Baden-Württemberg Cooperative State University (DHBW Stuttgart) and worked at IBM for three years.

My research focuses on the intersection of data management and machine learning, and incorporates a wide variety of aspects, such as data quality and declarative machine learning.

Address

TU Berlin, Building EN
Office EN741
Einsteinufer 17
10587 Berlin, Germany

Contact

f.neutatz (at) tu-berlin.de
Twitter
GitHub
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ResearchGate
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Publications & Talks

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.
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.
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.
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.

Service

CIKM 2023 - 32nd ACM International Conference on Information and Knowledge Management - PC Member/Reviewer Research Track

CIKM 2022 - 31st ACM International Conference on Information and Knowledge Management - PC Member/Reviewer Research Track

CIKM 2021 - 30th ACM International Conference on Information and Knowledge Management - PC Member/Reviewer Research Track

Awards

CIKM 2023 - Distinguished Reviewer

CIKM 2022 - Best Program Committee Award