Prof. Dr. Jana Giceva Makreshanska
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Research Interests and Bio
Prof. Giceva's research interests are in systems support for data management to enable efficient use of modern and future hardware. She works at the intersection of systems, data management, compilers, and computer architecture. Her research often adopts a holistic approach to address the system's challenges imposed both by emerging computing platforms and by the need to efficiently process and analyze data collected at unprecedented rates.
Before joining TUM in 2020, she was faculty at Imperial College London. Jana Giceva received her PhD at ETH Zurich in 2017. Her work has been recognized with an ETH Medal for outstanding PhD dissertation, the VLDB Early Career Research Contributions Award, and an ERC Starting Grant.
Recent Papers Highlights
Publications
Awards
- VLDB Early Career Contributions Award 2026
- ACM SIGMOD Research Highlights Award'26 for AnyBlox
- Distinguished Associate Editor/Reviewer award for VLDB 26 and SIGMOD 26
- VLDB Best Research Paper Award'25 for AnyBlox
- ERC Starting Grant in 2024 - FDS: Future-Proof Data Systems
- Distinguished Associate Editor/Reviewer awards for VLDB 25 and VLDB 24
- ACM SIGMOD Records Research Highlights Award'23 for Sortledton
- Best paper runner-up at VLDB'22 for Sortledton
- Honorable mention at SIGMOD'21
- VMware Early Career Faculty Award 2019
- ETH Medal for outstanding PhD dissertation in the Department of Computer Science 2018
- Google PhD Fellowship for Operating Systems 2014
- Best Poster Award "Databases and Operating Systems: Friends or Foes?", EuroSys 2012
Recent Service
- Chair: ACM DaMoN 26/27, associate editor for VLDB 25/26/27
- PC member: SIGMOD 2027, CIDR 2027, EuroSys 2027, SOSP 2026, ASPLOS 2026, SIGMOD 2026,
Teaching
- Winter 26/27: Foundations in Data Engineerin
- Winter 26/27: Seminar - Next-Generation Data Systems
- Summer 2026: Cloud-Based Data Processing
- Summer 2026: Data Processing on Modern Hardware
- Summer 2026: Perlen der Informatik 4
- Summer 2026: Praktikum - Cloud-Based Data Processing
- Summer 2026: Praktikum - Data Processing on Modern Hardware