• Data Processing on Modern Hardware
• Persistent Memory (PMem)
• Efficient Stream Processing

Check out my personal website for some more information.

• Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads @ SIGMOD 2021
  Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl
  > Paper  > Code (external) 
• Disco: Efficient Distributed Window Aggregation @ EDBT 2020
  Lawrence Benson, Phillip M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl
  > Paper (external)   > Poster (external)   > Code (external)   > Talk (external, YouTube)

If you would like to work together on a general research project or your master thesis, please just reach out. You can propose your own ideas, but I usually also have some project ideas lying around. You can also check out our open theses page for a few suggestions. I'm happy to assist you if you want to write a research paper. This can be extracurricular and does not have to be part of a seminar or thesis. I'm currently supervising a few student papers and theses. 

Student Paper Supervision:

• Björn Daase and Lars Jonas Bollmeier, published full paper at SIGMOD '21

Thesis Supervision:

• R-Tree Data Placement on Persistent Memory, Nils Thamm, Master Thesis, 2021

Lectures:

• Database Systems 1 (Bachelor, Summer 2020)
• Big Data Systems (Master, Winter 2019/20)

Projects/Seminars:

• Data Management on Modern Storage Technologies (Master, Winter 2020/21)
• Open Source Data Processing (Master, Winter 2020/21)
• Data Processing on Modern Hardware (Master, Summer 2020)

Master Project Supervision:

• Processor-Specific Stream Processing Query Compilation (Summer 2021)
• Compilation Techniques for Dynamic Stream Processing (Summer 2020)
• Dynamic Stream Processing (Winter 2019/20)