Ekaterini Ioannou

Bio

As of October 2019, Ekaterini Ioannou joined the Department of Management as an Assistant Professor in Information Management. Previously, Ekaterini worked at the Eindhoven University of Technology, the Open University of Cyprus, and was an adjunct faculty at EPFL in Switzerland. Her research focuses on information management with an emphasis on the challenges of managing data with uncertainties, heterogeneity or correlations. She also investigates blocking-based mechanisms for entity resolution over very large data collections as well as unstructured data (e.g., information from the Web).

Courses

• Business Intelligence & Bus. Analytics
• Interactive Data Transformation

Highlights

Recent Professional Services

• Diversity and Inclusion Co-Chair at the IEEE International Conference on Data Engineering (ICDE) 2024: https://icde2024.github.io/di.html
• PC member for IEEE International Conference on Data Engineering (ICDE): research track 2023, and industry and applications track 2024, and 2023
• PC member for the PhD Workshop at the International Conference on Very Large Data Bases (VLDB) 2023
• PC member for International Conference on Extending Database Technology (EDBT) 2024, 2023, 2022, and 2021
• Reviewer since 2023 for Transactions on Knowledge and Data Engineering (TKDE)
• PC member since 2022 for International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), in conjunction with the ACM SIGMOD Conference 
• PC member for International Conference on Data Science & Advanced Analytics (DSAA), 2023 - Applications Track 
• PC member for International Workshop on Big Data Visual Exploration and Analytics (BigVis), in conjunction with EDBT/ICDT 2023
• Reviewer for Journal of Computer Science and Technology (JCST)
• PC member for Dutch-Belgian DataBase Day (DBDBD) 2022
• Reviewer for Journal of Journal of Web Semantics (JoWS) 2022
• Reviewer for Journal of Information Systems 2022

Recent publications

1. The five generations of entity resolution on web data

   Konstantinos , N., Ioannou, E., & Papadakis, G. (2024). The five generations of entity resolution on web data. In International Conference on Web Engineering: ICWE 2024 Springer.

2. Unveiling Dis-Integration

   Papadakis, G., Ioannou, E., & Velegrakis, Y. (2024). Unveiling Dis-Integration. In International Conference on Data Engineering: ICDE

3. [Vision Paper] Self-configured Entity Resolution with pyJedAI

   Efthymiou, V., Ioannou, E., Karvounis, M., Koubarakis, M., Maciejewski, J., Nikoletos, K., Papadakis, G., Skoutas, D., Velegrakis, Y., & Zeakis, A. (2023). [Vision Paper] Self-configured Entity Resolution with pyJedAI. In 2023 IEEE International Conference on Big Data: IEEE BigData 2023 Article BigD538

4. Entity resolution in large patent databases: An optimization approach

   Caron, E., & Ioannou, E. (2021). Entity resolution in large patent databases: An optimization approach. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 23th International Conference on Enterprise Information Systems (ICEIS 2021) (23 ed., Vol. 1, pp. 148-156). INSTICC Press.

5. The Four Generations of Entity Resolution

   Papadakis, G., Ioannou, E., Thanos, E., & Palpanas, T. (2021). The Four Generations of Entity Resolution. (Synthesis Lectures on Data Management; Vol. 16, No. 2). Morgan & Claypool Publishers. http://10.2200/S01067ED1V01Y202012DTM064