Stefan Lehner, M.Sc.
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Forschungsgebiete
- Umbra: A Flash‑Based Database System with In-Memory Performance
- Efficient Query Processing
- Efficient Factorization in Relational Database Systems
Publikationen & Auszeichnungen
The Data World Is Not Flat: Efficient Factorized Execution for Relational Systems
Lehner Stefan, Thomas Neumann
VLDB 2026
What Works and What Does Not: A Winning Strategy for Join Query Execution
Team SortMergeJoins
SIGMOD Programming Contest 2025 — First Place
Efficient Index Structures for Range Joins in Relational Database Systems
Stefan Lehner
Master's Thesis, TU München, 2022 (Supervisor: Thomas Neumann, Advisor: Maximilian Reif)
Deep Reinforcement Learning and Evolutionary Computation for Combinatorial Optimization
Stefan Lehner
Bachelor's Thesis, TU München, 2020 (Supervisor: Daniel Cremers, Advisor: Vladimir Golkov)
Lehre
| Winter 2022/2023: | Grundlagen: Datenbanken |
| Summer 2023: | Systems Programming in C++ Seminar - Modern Database Systems |
| Winter 2023/2024: | Grundlagen: Datenbanken |
| Summer 2024: | Datenbanksysteme und moderne CPU-Architekturen |
| Winter 2024/2025: | Grundlagen: Datenbanken |
| Summer 2025: | Datenbanksysteme und moderne CPU-Architekturen |
| Winter 2025/2026: | Grundlagen: Datenbanken |
| Summer 2025: | Datenbanksysteme und moderne CPU-Architekturen |
| Winter 2026/2027: | Grundlagen: Datenbanken |