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.
- 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)
Key Publications (alle Publikationen)
Makreshanski D, Giceva J, Barthels C, Alonso G: “BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications”. ACM Special Interest Group on Management of Data (SIGMOD). 2017: 37-50.Abstract
Giceva J, Alonso G, Roscoe T, Harris T: “Deployment of Query Plans on Multicores”. Proceedings of the VLDB Endowment. 2014: 8(3): 233-244.Abstract
Giceva J: “Operating System Support for Data Management on Modern Hardware”. IEEE Data Engineering Bulletin. 2019; 42(1): 36-48.Abstract
Kara K, Giceva J, Alonso G: “FPGA-based Data Partitioning”. ACM Special Interest Group on Management of Data (SIGMOD). 2017: 433-445.Abstract
Giceva J, Salomie T, Schuepbach A, Alonso G, Roscoe T: “COD: Database / Operating System Co-Design”. Conference on Innovative Data Systems Research (CIDR). 2013.Abstract