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
  • Responsible AI
  • 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.

PDF Cite Code Rank A*

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.

PDF Cite Code Rank A*

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.

PDF Cite Code Slides DOI arXiv URL Rank A

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.

PDF Cite Code DOI arXiv URL Rank A*

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.

Project Slides Video DOI URL Rank A*

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..

PDF Cite Code DOI Rank A*

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.

PDF Cite Code Slides Video DOI URL

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.

PDF Cite Slides Video DOI URL Rank A*

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

PDF Cite Slides Video DOI URL

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]