Prof. Dr. Jana Giceva Makreshanska

Address: Technische Universität München
Institut für Informatik – Lehrstuhl III (I3)
Boltzmannstr. 3
85748 Garching
Room:
Raumplan
02.11.043
Phone: +49 (0)89 / 289-17286
E-Mail: jana.giceva@in.tum.de
Office Hours: Please call/mail ahead for an appointment

Research Interests and Bio

My research interests are in systems support for (big) data management to enable efficient use of modern and future hardware. I work at the intersection of systems, data management, and computer architecture. I believe that one needs to adopt a holistic approach in order to address the system's challenges imposed both by emerging hardware and computing platforms and by the ever growing need to efficiently process, analyze and make sense of data collected at unprecedented rates. If you would like to get a more detailed overview of my research, please check my research statement.

Before joining TUM in 2020, I was a Lecturer (Assistant Professor) in the Department of Computing at Imperial College London. I completed my PhD at ETH Zurich in 2017, where I was advised by Gustavo Alonso and Timothy Roscoe. I also held roles at Microsoft Research and Oracle Labs. More details can be found in my CV.

Publications

Bringing Compiling Databases to RISC Architectures
Ferdinand Gruber, Maximilian Bandle, Alexis Engelke, Thomas Neumann, Jana Giceva, VLDB (2023)
On-demand State Separation for Cloud Data Warehousing
Christian Winter, Jana Giceva, Thomas Neumann, Alfons Kemper, VLDB (2022)
Plush: A Write-Optimized Persistent Log-Structured Hash-Table
Lukas Vogel, Alexander van Renen, Satoshi Imamura, Jana Giceva, Thomas Neumann, Alfons Kemper, VLDB (2022)
Designing an Open Framework for Query Optimization and Compilation
Michael Jungmair, Andre Kohn, Jana Giceva, VLDB (2022)
Sortledton: a Universal, Transactional Graph Data Structure
Per Fuchs, Domagoj Margan, Jana Giceva, VLDB (2022)
What Are You Waiting For? Use Coroutines for Asynchronous I/O to Hide I/O Latencies and Maximize the Read Bandwidth!
Leonard von Merzljak, Philipp Fend, Thomas Neumann, Jana Giceva, (ADMS@VLDB'22)
A four-dimensional Analysis of Partitioned Approximate Filters
Tobias Schmidt, Maximilian Bandle, Jana Giceva, VLDB (2021)
Database Technology for the Masses: Sub-Operators as First Class Entities
Maximilian Bandle, Jana Giceva, VLDB (2021)
Profiling Dataflow Systems on Multiple Abstraction Levels
Alexander Beischl, Timo Kersten, Maximilian Bandle, Jana Giceva, Thomas Neumann, EuroSys (2021)
To partition, or not to partition, that is the join question in a real system
Maximilian Bandle, Jana Giceva, Thomas Neumann, SIGMOD (2021)
Scalable and Robust Latches for Database Systems
Jan Böttcher, Viktor Leis, Jana Giceva, Thomas Neumann, Alfons Kemper, DaMoN (2020)
Operating System Support for Data Management on Modern Hardware
Jana Giceva, IEEE Data Eng. Bull. (2019)
Thriving in the No Man's Land between Compilers and Databases
Holger Pirk, Jana Giceva, Peter Pietzuch, CIDR (2019)
Hybrid OLTP and OLAP
Jana Giceva, Mohammad Sadoghi, Encyclopedia of Big Data Technologies (2019)
BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications
Darko Makreshanski, Jana Giceva, Claude Barthels, Gustavo Alonso, SIGMOD (2017)
FPGA-based Data Partitioning
Kaan Kara, Jana Giceva, Gustavo Alonso, SIGMOD (2017)
Customized OS support for data-processing
Jana Giceva, Gerd Zellweger, Gustavo Alonson, Timothy Roscoe, DaMoN (2016)
Broom: Sweeping Out Garbage Collection from Big Data Systems
Ionel Gog, Jana Giceva, Malte Schwarzkopf, Kapil Vaswani, Dimitrios Vytiniotis, Ganesan Ramalingam, Manuel Costa, Derek Gordon Murray, Steven Hand, Michael Isard, HotOS (2015)
Deployment of Query Plans on Multicores
Jana Giceva, Gustavo Alonso, Timothy Roscoe, Tim Harris, PVLDB 2014
COD: Database/Operating System Co-Design
Jana Giceva, Tudor-Ioan Salomie, Adrian Schuepbach, Gustavo Alonso, Timothy Roscoe, CIDR 2013
Database engines on multicores, why parallelize when you can distribute?
Tudor-Ioan Salomie, Ionut Emanuel Subasu, Jana Giceva, Gustavo Alonso, EuroSys 2011

Awards

  • ACM SIGMOD Records Research Highlights'23 nomination for Sortledton
  • Best paper runner-up at VLDB'22 for our paper
    "Sortledton: a Universal, Transactional Graph Data Structure".
  • Honorable mention at SIGMOD'21 for our paper
    "To partition, or not to partition, that is the join question in a real system".
  • 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

Service

  • Chair: SIGMOD 23/24 Mentorship, SIGMOD 2021/22 Workshops, ICDE 2021 Workshops, EuroSys 2021 Workshops, SIGMOD 2019 SRC, EuroSys 2019 Travel Grants, SIGMOD 2018 SRC
  • PC member: HotOS 2023, ATC 2023, CIDR 2023, VLDB 2022, USENIX ATC 2021, VLDB Demo 2021, SIGMOD DaMoN 2021, SIGMOD PhD Workshop 2021, VLDB 2021, CIDR 2021, SoCC 2020, SIGMOD DaMoN 2020, SIGMOD 2020, VLDB Industry 2020, USENIX ATC 2020, USENIX HotCloud 2020, EuroSys SPMA 2020, EuroSys EdgeSys 2020, SIGMOD 2019, ICDE Industry 2019, ICDE Demo 2019, NSDI 2019, EDBT Demo 2019, EuroSys DW 2019, EuroSys SFMA 2019, ICDE Industry 2018, EuroSys DW 2018, SIGMOD Demo 2017, ISCA ASBD 2017
  • Roles in Dept. of CS/School of CIT:
    • Deputy Gender Equality Officer for CS
    • Scholarship Committee for the Office of TMD (Talent Management Diversity)
    • Organizer for IFF -- Women in CS @ TUM.

Teaching

  • Summer 23: Data Processing on Modern Hardware
  • Summer 23: Seminar - Modern Database Systems
  • Winter 22/23: Seminar - OS in the cloud: Past, Present, and Future
  • Winter 20/21, 22/23: Cloud-Based Data Processing
  • Winter 20/21: Seminar - Techniques for Implementing Main Memory Database Systems
  • Summer 19, 20: Data Processing on Modern Hardware
  • Summer 19, 20: Seminar - Modern Database Systems
 

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