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Bio
My main research focus is on interval-timestamped temporal databases, time-series data, and data analytics.My research is driven by data and problems that emerge from real world applications and my research method combines foundational studies with system engineering and empirical evaluations. The obtained research results have been published in the most prestigious conferences and journals of the database community (2SIGMOD, 2 PVLDB, 2 ICDE, 1 TODS, 3 IS, 1 EDBT). In my work I developed temporal primitives that allow querying interval-timestamped data in relational database systems, in a principled way, and an approach to scale attribute values that are interval-dependent. I implemented and integrated this work into the kernel of the open source database system PostgreSQL and submitted it as a patch to the PostgreSQL community. The primary line of research in the next future will be to progress current research activities and to address new challenges in the area of data-centric applications for temporal and spatial databases. I will continue to strengthen the principle of quality and target top tier international conferences and journals for publishing my research results. Finally, I plan to establish a competence center for open source database systems in the territory to increase the technology transfer with local companies.
Research Interests
Papers共 46 篇Author StatisticsCo-AuthorSimilar Experts
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Information Systems Frontierspp.1-25, (2024)
PROCEEDINGS OF 2023 18TH INTERNATIONAL SYMPOSIUM ON SPATIAL AND TEMPORAL DATA, SSTD 2023pp.106-109, (2023)
ADBIS (Short Papers)pp.280-290, (2023)
ADBIS (Short Papers)pp.293-311, (2023)
ACM Computing Surveys (2023)
IEEE Trans. Instrum. Meas. (2023): 1-14
35TH INTERNATIONAL CONFERENCE ON SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT, SSDBM 2023pp.1-12, (2023)
International Baltic Conference on Databases and Information Systems (DB&IS)pp.251-266, (2022)
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