I received my diploma in Computer Science and Engineering from the Computer Science and Engineering Department of the University of Ioannina in 2017. I received my MSc in Computer Science with specialization in software from the Computer Science and Engineering Department of the University of Ioannina in 2020. I received my PhD from the Computer Science and Engineering Department of the University of Ioannina in 2023, supervised by Prof. Mamoulis and Prof. Bouros. Currently, I am a postdoctoral researcher at TU Delft.

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You can find my PhD Thesis here. PDF

My research centers on advancing scalable, efficient data management systems with a particular emphasis on complex data, stream processing, and distributed systems. My PhD work focused on novel indexing solutions for both static interval data and streams of temporal data, addressing the challenges of efficient data indexing and retrieval. In my current postdoctoral research at TU Delft, I am exploring the intersection of streaming dataflow systems, transactions, and scalable data management.

10. Styx: Transactional Stateful Functions on Streaming Dataflows, Proceedings of the 2024 ACM International Conference on Management of Data (SIGMOD ‘25), to appear.

11. Transactional Cloud Applications: Status Quo, Challenges, and Opportunities, Proceedings of the 2024 ACM International Conference on Management of Data (SIGMOD ‘25) (Tutorial), to appear.

12. Transactional Cloud Applications Go with the (Data)Flow, Conference on Innovative Data Systems Research (CIDR ‘25), PDF

13. Evaluating Stream Processing Autoscalers, International Conference on Distributed and Event-based Systems (DEBS ’24), PDF

14. HINT on Steroids: Batch Query Processing for Interval Data, International Conference on Extending Database Technology (EDBT ‘24) PDF

15. LIT: Lightning-fast In-memory Temporal Indexing, Proceedings of the 2024 ACM International Conference on Management of Data (SIGMOD ‘24). PDF

16. HINT: A Hierarchical Interval Index for Allen Relationships, International Journal on Very Large Data Bases (VLDBJ ‘24). PDF

17. Efficient And Scalable Management Of Interval Data, International Conference on Extending Database Technology (EDBT ‘23) PhD Workshop. PDF

18. SmartCityBus-A Platform for Smart Transportation Systems, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM ‘23) (Abstract). PDF

19. HINT: A Hierarchical Index for Intervals in Main Memory, Proceedings of the 2022 ACM International Conference on Management of Data (SIGMOD'22). PDF

2. Research Intern at the Hong Kong University of Science and Technology (HKUST) in Hong Kong, working with Prof. Dimitris Papadias. January - February, 2023.

3. Research Intern at The University of Mainz (JGU) in Germany, working with Prof. Panagiotis Bouros. February - April, 2022.

• George Siachamis, Adaptivity for Streaming Dataflow Engines , TU Delft

• Kyriakos Psarakis, Stateful Functions on Streaming Dataflows, TU Delft

• Marcus Schutte, Compiling Imperative code to Dataflows, TU Delft

• Oto Mraz, Evaluating Deterministic Database Sequencers, TU Delft

• Lucas Van Mol, Intermediate representation for dataflows, TU Delft

• Smruti Kshirsagar, Efficient queries in external data stores, TU Delft

• Mitali Patil, Global state queries in stream processing, TU Delft

• Giorgos Kotsinas, Ranking queries over range data, UoI

• Sebastian Hemberger, Indexing composite interval data, JGU

• Dennis Scheck, Generating and visualizing complex interval data, JGU

• Jan Raider, A graphical user interface for managing interval data, JGU

• Vasileios Georgoulas, Bachelor thesis, A web application for passenger movement with public transport, UoI

• Danae Tsaousi, Bachelor thesis, Visualization and analysis of public transport data, UoI

• Penelope Eleftheriadi, Bachelor thesis, Visualization and analysis of public transport data, UoI

• Filippos-Apostolos Papachristou, Bachelor thesis, Implementation and evaluation of a main memory temporal index, UoI