Bio

Viktor Leis is a Full Professor in the Computer Science Department at TUM, leading the chair for Decentralized Information Systems and Data Management. His research revolves around designing cost-efficient data systems for the cloud and includes core database systems topics such as query processing, query optimization, transaction processing, index structures, and storage. Viktor Leis received a doctoral degree in 2016 from TUM and was a Professor at the Friedrich-Schiller-Universität Jena and Friedrich-Alexander-Universität Erlangen-Nürnberg before returning to TUM in 2022. He received the ACM SIGMOD dissertation award, the IEEE TCDE Rising Star Award, the VLDB Early Career Research Contribution Award, and an ERC Starting Grant.

Selected Papers

• Virtual-Memory Assisted Buffer Management
  Viktor Leis, Adnan Alhomssi, Tobias Ziegler, Yannick Loeck, Christian Dietrich
  SIGMOD 2023

• Towards Cost-Optimal Query Processing in the Cloud
  Viktor Leis, Maximilian Kuschewski
  PVLDB 2021

• LeanStore: In-Memory Data Management beyond Main Memory
  Viktor Leis, Michael Haubenschild, Alfons Kemper, Thomas Neumann
  ICDE 2018

• How Good Are Query Optimizers, Really?
  Viktor Leis, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, Thomas Neumann
  PVLDB 2015

• The Adaptive Radix Tree: ARTful Indexing for Main-Memory Databases
  Viktor Leis, Alfons Kemper, Thomas Neumann
  ICDE 2013

   

New Papers

• Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware
  Viktor Leis, Christian Dietrich
  VLDB 2024

• A Critique of Modern SQL and a Proposal Towards a Simple and Expressive Query Language
  Thomas Neumann, Viktor Leis
  CIDR 2024

• Why Files If You Have a DBMS?
  Lam-Duy Nguyen, Viktor Leis
  ICDE 2024

• Incremental Fusion: Unifying Compiled and Vectorized Query Execution
  Benjamin Wagner, Andre Kohn, Peter Boncz, Viktor Leis
  ICDE 2024

   

Links

Google Scholar profile

DBLP profile

Blog (Database Architects, with Thomas Neumann)