Hasso-Plattner-Institut
Prof. Dr. Tilmann Rabl
 

Lecture Series for Database Research

Goals

This collaborative lecture series will feature presentations by distinguished researchers from the database research community. Besides an overview of topics in the field, we will introduce excellent database research groups in Germany and vicinity. The lecture series is a collaboration among several database research groups and will be offered at multiple universities in parallel. The format will be hybrid with local and remote presentations and a parallel student poster session at all participating universities – a national DB event.

Participating Groups / Universities

The course will be offered in parallel at the following institutions:

  • Data Engineering Systems / Information Systems, Hasso Plattner Institute, Prof. Rabl / Prof. Naumann / Prof. Tzirita Zacharatou
  • Dresden Database Research Group, TU Dresden, Prof. Lehner
  • Scalable Database Systems Group, Uni Passau, Prof. Scherzinger

Webpages

https://moodle.hpi.de/course/view.php?id=1012

 

Topics

Database systems / Data Cleaning / Data Structures / DB for ML / ML for DB

 

Agenda

Time and Location:
The course will be held on Tuesdays 5 - 6 pm, room L-E.03 (lecture hall) and on Zoom.

Date     Topic    Lecturer
14.10.25OpeningTilmann Rabl
21.10.25Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern HardwareViktor Leis (TUM)
28.10.25Future-proof Data SystemsJana Giceva (TUM)
04.11.25End to End Declarative Data Analytics in the CloudAna Klimovic (ETH)
11.11.25Quantum Computing for Database SystemsStefanie Scherzinger (UniP)
18.11.25System Infrastructure for Data-centric ML PipelinesMatthias Boehm (TUB)
25.11.25Narratives as Information Primitives in Knowledge BasesWolf-Tilo Balke (TUBS)
02.12.25From Workload Synthesis to Workload-Driven OptimizationsAndreas Kipf (UTN)
09.12.25An Elephant under the MicroscopeWolfgang Lehner (TUD)
16.12.25A Fix for the Fixation on FixpointsTorsten Grust (UTÜ)
06.01.26Sustainable Data ManagementTilmann Rabl (HPI)
13.01.26

Data Quality

Felix Naumann (HPI)
20.01.26

Spatial Data Systems

Eleni Tzirita Zacharatou (HPI)
27.01.26

Big Data Processing with Scientific Workflow Systems

Ulf Leser (HUB)
03.02.26LLM & Databases. What’s in it?Carsten Binnig (RAUM F-E.06)
06.02.26 Student Poster Session1 PM, Eventspace

Deliverables

Lecture summary

Write a summary for one selected lecture. Depending on the number of participants, this will be done in groups. Each lecture will be assigned to one person or group.

All summaries will be published on the course website. The summary should give a quick and engaging overview of the talk (10-15 min reading time). We will ask the presenters to review your summary and help you with questions.

Individual Poster Project

Prepare an A1 poster (portrait format), with the following contents. You have to present your poster at the final session. Prepare a small research proposal on a topic of your choice, incorporating the research methods you have learned in the course. The contents can be in any topic represented at HPI. The poster should highlight the goal, the problem, and a solution of your proposal and you should be able to explain how you incorporated the knowledge acquired in the lecture in the preparation and presentation of the paper.

Mark Breakdown

  • 50% - Lecture summary
  • 50% - Individual poster project

Lecture Summary

Your first task is to summarize the presentation in groups.
You can find your group through the participants link on the left menu of Moodle.
Your summary of the presentation should contain the following:

  • Overview of the lecture
  • Topic
  • Background
  • Aspects of research methods presented
  • Summary
  • References

The summary will be added to the course website (it should be 10-15 min reading time)
We will ask the presenter to review the summary, please reach out to the presenter with a draft before submitting the final 

Formatting and submission:

  • Plain HTML formatting
  • Single ZIP file with all contents

Deadline: 2 weeks after the presentation or opening of the assignment, whichever is later.

Individual Poster Project

Plenary presentation on Feb 6.

  • Research proposal on topic of your choice
  • Utilizing the research methods acquired in the course 

Formatting

  • Please use the HPI template 
  • Print it yourself in the Maker Universe
  • Please use the HPI template

The posters should contain:

  • Title
  • Your name and study program
  • Abstract (1-2 paragraphs)
  • The poster must be self-explanatory
  • You should be able to explain the research methods you applied for creating the poster and your presentation

Submitted Poster