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 high-performance data management systems and includes core database systems topics such as query processing, query optimization, transaction processing, index structures, and storage. Another major research area is the architecture of cloud-native, cost-efficient information systems. Viktor Leis received his 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, best paper awards at IEEE ICDE and ACM SIGMOD, 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

   

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