Haralampos Gavriilidis

Research associate at the Database Systems and Information Management Group of TU Berlin led by Volker Markl.

My current research interests lie within cross-platform query optimization and execution in federated/polystore systems, big data query languages, and IoT data management.

I received my M.Sc degree at TU Berlin, where I specialized in big (and small) data management systems. My master thesis was about combining scale-out with scale-up data management techniques. During my studies, I worked at DIMA and DFKI/IAM as a research assistant, contributing to a compiler infrastructure that enables execution of declarative data analysis programs on hardware-accelerated query engines. Before my studies, I worked as a full-stack web developer, crafting custom content management systems and web applications.

Publications

SIGMOD '24
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"Multi-Backend Zonal Statistics Execution with Raven": Gereon Dusella, Haralampos Gavriilidis, Laert Nuhu, Volker Markl, Eleni Tzirita Zacharatou. In SIGMOD '24: International Conference on Management of Data (Demonstration Track), 2024.

SIGMOD Rec. 2023
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"Apache Wayang: A Unified Data Analytics Framework": Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz. In SIGMOD Record, September 2023 (Vol. 52, No. 3).

VLDB 2023
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"XDB in Action: Decentralized Cross-Database Query Processing for Black-Box DBMSes": Haralampos Gavriilidis, Leonhard Rose, Joel Ziegler, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl. In 49th International Conference on Very Large Data Bases (Demonstration Track), 2023.

DEEM 2023
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"P2D: A Transpiler Framework for Optimizing Data Science Pipelines": Yordan Grigorov, Haralampos Gavriilidis, Sergey Redyuk, Kaustubh Beedkar, Volker Markl. In 7th Workshop on Data Management for End-to-End Machine Learning (colocated with SIGMOD), 2023.

ICDE 2023
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"In-Situ Cross-Database Query Processing": Haralampos Gavriilidis, Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl. In 39th IEEE International Conference on Data Engineering, 2023.

IS 2023
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"SheetReader: Efficient Specialized Spreadsheet Parsing": Haralampos Gavriilidis, Felix Henze, Eleni Tzirita Zacharatou, Volker Markl. In Information Systems, Volume 115, 2023.

CDMS 2022
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"Towards a Modular Data Management System Framework": Haralampos Gavriilidis, Lennart Behme, Sokratis Papadopoulos, Stefano Bortoli, Jorge-Arnulfo Quiané-Ruiz, Volker Markl. In 1st International Workshop on Composable Data Management Systems (colocated with VLDB), 2022.

DOLAP 2022
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"Efficient Specialized Spreadsheet Parsing for Data Science": Felix Henze, Haralampos Gavriilidis, Eleni Tzirita Zacharatou, Volker Markl. In 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (colocated with EDBT), 2022.

EDBT 2020
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"Scaling a Public Transport Monitoring System to Internet of Things Infrastructures": Haralampos Gavriilidis, Adrian Michalke, Laura Mons, Steffen Zeuch, Volker Markl. In 22nd International Conference on Extending Database Technology (Demonstration Track), Copenhagen, Denmark, 2020.

CIDR 2020
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"The NebulaStream Platform for Data and Application Management in the Internet of Things": Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl. In 10th Biennial Conference on Innovative Data Systems, Amsterdam, Netherlands, 2020.

BTW 2019
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"Computation Offloading in JVM-based Dataflow Engines": Haralampos Gavriilidis. In 18. Fachtagung für Datenbanksysteme für Business, Technologie und Web (Student Program), Rostock, Germany, 2019.

Teaching