Bio

Viktor Leis is a 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. He contributed to the development of the main-memory database system Hyper (acquired by Tableau/Salesforce) and the NVMe-optimized storage engine LeanStore. Viktor Leis earned his doctoral degree from TUM in 2016 and was a professor at the universities in Jena and Erlangen before returning to TUM in 2022. His work has been recognized with the ACM SIGMOD dissertation 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

   

Links

Google Scholar profile

DBLP profile

Blog (Database Architects, with Thomas Neumann)