About
My name is Kostas Stefanidis and I am a Professor on Data Science at the Faculty of Information Technology and Communication Sciences (ITC) of the Tampere University in Finland, where I also lead the Group on Recommender Systems. I have more that 10 years of experience in different roles at ICS-FORTH in Greece, NTNU in Norway and CUHK in Hong Kong. I got my PhD in personalized data management from the Univ. of Ioannina in Greece. My research interests are in the broader area of big data. My work focuses on personalization and recommender systems, entity resolution, data exploration and data analytics, with a special focus recently on socio-technical aspects in data management like fairness and transparency, and published in more than 100 papers in top-tier conferences and journals. I have been involved in several international and national research projects and I am also actively serving the scientific community. Currently, I am the General co-Chair of ADBIS 2025, TPDL 2025, ICWE 2024, and the Proceedings Chair of VLDB 2023.
E-mail: konstantinos.stefanidis -at- tuni.fi
Group on Recommender Systems at Tampere University
News
- 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.
- ICWE 2024: International Conference on Web Engineering, Tampere, Finland, 2023. [General co-Chair]
- SQUIRREL: A framework for sequential group recommendations through reinforcement learning, Information Systems, Accepted September 2022. Joint work with M. Stratigi and E. Pitoura.
- Feature-Blind Fairness in Collaborative Filtering Recommender Systems, KAIS, 2021. Joint work with R. Borges.
- FairER: Entity Resolution With Fairness Constraints, ACM CIKM, 2021. Joint work with V. Efthymiou, E. Pitoura and V. Christophides.
- 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]
Open topics for master thesis on:
- Recommendations
- Fairness
- Entity Resolution
- Data-Driven Software Evolution Analysis
- Efficient Question Answering over Knowledge Bases
- Grammatical Question Answering over Knowledge Bases
PhD Graduates
- 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