Kostas Stefanidis
Professor

My name is Konstantinos (Kostas) Stefanidis, and I am a Full Professor of Data Science at the Faculty of Information Technology and Communication Sciences (ITC), Tampere University, Finland. I serve as Director of the Data Science Research Centre and lead the Group on Recommender Systems. I have more than 10 years of experience in different research and academic roles at ICS-FORTH in Greece, NTNU in Norway, and CUHK in Hong Kong. I earned my PhD in personalized data management from the University of Ioannina, Greece. My research lies in the broader area of big data, with a focus on personalization and recommender systems, data integration, data exploration, and data analytics. More recently, I have been addressing socio-technical aspects of data management, such as fairness and transparency. My work has been published in over 100 papers in top-tier conferences and journals. I have been actively involved in numerous international and national research projects and continue to serve the scientific community. Currently, I am General Co-Chair of EDBT/ICDT 2026, ADBIS 2025, and TPDL 2025.

E-mail: konstantinos.stefanidis -at- tuni.fi

ADBIS 2025: The 29th European Conference on Advances in Databases and Information Systems, Tampere, Finland, 2025. [General co-Chair]
TPDL 2025: The 29th International Conference on Theory and Practice of Digital Libraries, Tampere, Finland, 2025. [General co-Chair]
EDBT/ICDT 2026: International Conference on Extending Database Technology & International Conference on Database Theory, Tampere, Finland, 2026. [General co-Chair]

Group on Recommender Systems at Tampere University

• INCEPT: A Framework for Duplicate Posts Classification with Combined Text Representations, ACM Transactions on the Web, 2024. Joint work with E. Skenderi, J. Huhtamäki and S-M. Laaksonen. [Link]
• Why-Not Explainable Graph Recommender, ICDE 2024. Joint work with H-M. Attolou, K. Tzompanaki and D. Kotzinos.
• DIAERESIS: RDF Data Partitioning and Query Processing on SPARK, Semantic Web Journal, 2023. Joint work with G. Troullinou, G. Agathangelos, H. Kondylakis and D. Plexousakis.
• SQUIRREL: A framework for sequential group recommendations through reinforcement learning, Information Systems, 2023. Joint work with M. Stratigi and E. Pitoura.
• Feature-Blind Fairness in Collaborative Filtering Recommender Systems, KAIS, 2021. Joint work with R. Borges. 
• Fairness in Rankings and Recommendations: An Overview, The VLDB Journal, 2021. Joint work with E. Pitoura and G. Koutrika. 
• An Overview of End-to-End Entity Resolution for Big Data, ACM Computing Surveys, 2020. Joint work with V. Christophides, V. Efthymiou, T. Palpanas and G. Papadakis. 
• Tutorials & Invited Talks

[More]

• Recommendations
• Fairness
• Entity Resolution
• Data-Driven Software Evolution Analysis
• Efficient Question Answering over Knowledge Bases
• Grammatical Question Answering over Knowledge Bases

• Maria Stratigi - Group Recommendations with Responsibility Constraints
• Erjon Skenderi - Text Representation Methods for Big Social Data
• Xiaozhou Li - Data-driven Analysis towards Monitoring Software Evolution by Continuously Understanding Changes in Users Needs