Welcome to the Homepage of the Data Systems Research Group at University of Tartu.

Our group conducts research and teaching that covers various aspects on the data management field (e.g., structured data, semi-structured data, graph data streaming data) with an emphasis on scalability mechanisms that effectively tackle the modern applications requirements (e.g., IoT, Smart Cities, Blockchain, Health Informatics) on dealing with Big Data and performing efficient Big Data Analytics.

The aim of our group is to get engaged and contribute in building the next-generation of efficient, scalable and insightful data systems. We love to build useful systems. If you have the same interest, please contact us.

We invite you to browse our website and learn more about our research and activities.



We are currently looking for motivated postdoc, PhD students and master students in the areas of big data management and processing systems. If you are interested to join our group, send us your application including detailed CV and publications to sherif.sakr [at] ut.ee. Please use the title "Joining Data Systems Groups @ UT" for your email message.


The Data Systems Group has signed a collaboration agreement with The Center for Informatics Science at Nile University, Egypt. Details of the agreement are available here.


Our group has got 2 Demo Papers

- “SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms

- “MINARET: A Recommendation Framework for Scientific Reviewers

and one short paper

- “A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams

accepted in The 22nd International Conference on Extending Database Technology (EDBT'19).


Our paper “Calculation of Average Road Speed Based on Car-to-Car Messaging” has been accepted in The 6th IEEE International Conference on Big Data and Smart Computing (BigComp'19).


University of Tartu has released the news about our research group and the potential of big data. Please check here.