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Kajetan Jeremi Maliszewski

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Technische Universität Berlin
Database Systems and Information Management

Einsteinufer 17, 10587 Berlin
https://www.tu.berlin/en/dima

Kajetan Maliszewski Bifold researcher
© Kajetan Maliszewski

Kajetan Jeremi Maliszewski

Doctoral Researcher

Kajetan Jeremi Maliszewski is a Research Associate and a PhD candidate in the Database Systems (DIMA) group at TU Berlin mentored by Volker Markl and Jorge Quiané-Ruiz. Before joining TU Berlin as a researcher, he completed an EIT double M.Sc. at TU Berlin and UPM Madrid. During his Master’s thesis, he collaborated with Logical Clocks in Stockholm and developed infrastructure to enable streaming IoT data pipelines in Hopsworks.

  • confidential computing in databases
  • secure cloud
  • modern hardware

Kajetan Maliszewski, Tilman Dietzel, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

TeeBench: Seamless Benchmarking in Trusted Execution Environments

June 05, 2023
https://doi.org/10.1145/3555041.3589726

Kajetan Maliszewski; Jorge-Arnulfo Quiané-Ruiz; Volker Markl

Cracking-Like Join for Trusted Execution Environments

May 01, 2023
https://dl.acm.org/doi/10.14778/3598581.3598602

Kajetan Maliszewski, Jorge Arnulfo Quiané-Ruiz, Jonas Traub, Volker Markl

What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments

November 01, 2021
https://doi.org/10.14778/3494124.3494146

News
Data Management| Jun 26, 2023

8 researchers represented BIFOLD at SIGMOD 2023

Eight members of the BIFOLD team took the chance to showcase their recent work at SIGMOD 2023 in Seattle through a diverse array of presentations, including research papers, workshop papers, and a demo paper – all of them underscoring the institute's commitment to cutting-edge research in the field of data management. 

News
Data Management| Sep 15, 2020

TU Berlin and DFKI database systems researchers offer multiple presentations at VLDB 2020

Researchers at TU Berlin Database Systems and Information Management (DIMA) group and Intelligent Analytics for Massive Data (IAM) group at DFKI presented one full paper, one demo paper and three PhD thesis papers at the 46th International Conference on Very Large Databases (VLDB 2020).