Academic Career and Research Areas

Jana Giceva (*1987) conducts research in the areas of data management and computer systems. Her research interests are in systems support for data science and big data to enable efficient use of modern and future hardware. Prof. Giceva's research spans across multiple system sub-fields: data processing layer, operating systems, and hardware accelerators for data processing.

Prof. Giceva got her Ph.D. in Computer Science from ETH Zurich in 2017. From 2017 to 2019 she was a Lecturer (Assistant Professor) in the Department of Computing at Imperial College London. She also held roles at Microsoft Research and Oracle Labs during her doctoral studies. She has been a professor for Database Systems at TUM since 2020.

Awards

  • ERC Starting Grant (2024)
  • ETH medal for outstanding PhD dissertation in the Dept. of Computer Science (2018)
  • VMware Early Career Faculty Award (2019)
  • Google PhD Fellowship for Operating Systems (2014)

Jungmair M., Kohn A., Giceva J. “Designing an Open Framework for Query Optimization and Compilation.” PVLDB, 15(11): 2389-2401, 2022.

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Fuchs P., Margan D., Giceva J. “Sortledton: a universal transactional graph data structure”. PVLDB, 15(6): 1173-1186, 2022.

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Jungmair M., Giceva L. "Declarative Sub-Operators for Universal Data Processing". PVLDB, 16(11): 3461-3474, 2023.

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Anneser C., Vogel L., Gruber F., Bandle M., Giceva J. “Programming Fully Disaggregated Systems”. In Workshop on Hot Topics in Operating Systems (HotOS'23).

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Bandle M, Giceva J., Neumann T. “To Partition, or not to partition, that is the join question in a real system.” In Proceedings of the 2021 International Conference on Management of Data (SIGMOD'21).

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