Dimitris Sacharidis

Dimitris Sacharidis

Professor of Data Science and Data Engineering

Université Libre de Bruxelles (ULB)

About

I am an assistant professor at the Data Science and Engineering Lab at the Université Libre de Bruxelles (ULB). Prior to that I was an assistant professor at the Technical University of Vienna, and a Marie Skłodowska Curie fellow at the “Athena” Research Center and at the Hong Kong University of Science and Technology. I have a Diploma and a PhD in Computer Engineering from the National Technical University of Athens, and a MSc in Computer Science from the University of Southern California.

In my research, I am interested in topics related to data science and data engineering.

Interests
  • Data Science
  • Data Engineering
  • Databases
  • Data Mining
  • Recommender Systems
Education

  • PhD in Computer Engineering, 2009

    National Technical University of Athens

  • MSc in Computer Science, 2004

    University of Southern California

  • Diploma in Computer Engineering, 2001

    National Technical University of Athens

Selected Publications

Find the complete list here.

Antonios Kontaxakis, Dimitris Sacharidis, Alkis Simitsis, Alberto Abelló, Sergi Nadal (2024). HYPPO - Using Equivalences to Optimize Pipelines in Exploratory Machine Learning. ICDE 2024 - 40th International Conference on Extending Database Technology.

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Md Ataur Rahman, Sergi Nadal, Oscar Romero, Dimitris Sacharidis (2024). Mitigating Data Sparsity in Integrated Data through Text Conceptualization. ICDE 2024 - 40th International Conference on Extending Database Technology.

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Dimitris Sacharidis, Giorgos Giannopoulos, George Papastefanatos, Kostas Stefanidis (2023). Auditing for Spatial Fairness. Proceedings 26th International Conference on Extending Database Technology, EDBT 2023, Ioannina, Greece, March 28-31, 2023.

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Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Z. Emiris (2023). Fairness Aware Counterfactuals for Subgroups. NeurIPS 2023 - 37th Conference on Neural Information Processing Systems.

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Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis (2022). Assessing Research Impact by Leveraging Open Scholarly Knowledge Graphs. Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022.

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Alexandros Zeakis, Dimitrios Skoutas, Dimitris Sacharidis, Odysseas Papapetrou, Manolis Koubarakis (2022). TokenJoin: Efficient Filtering for Set Similarity Join with Maximum Weighted Bipartite Matching. Proc. VLDB Endow..

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Vassilis Kaffes, Dimitris Sacharidis, Giorgos Giannopoulos (2021). Model-Agnostic Counterfactual Explanations of Recommendations. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June, 21-25, 2021.

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Ilias Kanellos, Thanasis Vergoulis, Dimitris Sacharidis, Theodore Dalamagas, Yannis Vassiliou (2021). Ranking Papers by their Short-Term Scientific Impact. 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021.

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Dimitris Sacharidis (2020). Building User Trust in Recommendations via Fairness and Explanations. ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Adjunct Publication.

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Posts

Causality, Fairness, and Statistical Parity
Explore fairness from a causality viewpoint.
Dimitris Sacharidis
Last updated on Jun 9, 2022
Research Topics
Research Topics

Contact

Address
Université Libre de Bruxelles
Data Science and Engineering Lab
Campus du Solbosch — CP 165/15
Avenue F. D. Roosevelt 50
1050 Brussels, Belgium

Office
S.UB.4.125 (campus map)

Email
[email protected]