News

We are excited that Gianna Lisa Nicolai and Bozhou Bai decided to join our group as PhD students!

Our work on “The Case for Intent-Based Query Rewriting” has been accepted at the DATAI workshop co-located with VLDB 2025.

Our work on “Grid-AR: A Grid–based Booster for Learned Cardinality Estimation and Range Joins” will be presented at the Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM) and the paper “Automated Training of Learned Database Components with Generative AI” at Workshop on Novel Optimizations for Visionary AI Systems (NOVAS), both workshops are co-located with ACM SIGMOD.

Damjan has defended his PhD thesis “Query Processing and Cardinality Estimation over Data Summaries”. The thesis document can be found here .Congratulations Damjan!

Our paper “Partiton, Don’t Sort! Compression Boosters for Cloud Data Ingestion Pipelines” got accepted as a full paper in PVLDB Vol. 17, to be presented at VLDB 2024 in Guangzhou, China. Congratulations Patrick!

We are happy to announce that Sebastian Michel was selected as a recipient of the Outstanding Reviewer Award for ICDE 2024. He currently also serves on the program committee of SIGMOD 2025 and the PVLDB Review Board for Vol. 18 (VLDB 2025).

The summer term 2024 started. Our group will offer one 8CP Bachelor-level courses “Information Systems” and the “Databases and Information Systems Seminar” (Bachelor and Master level) together with Prof. Deßloch’s group.

The winter term 2023 started. Our group will offer one 8CP Bachelor/Master-level courses “Database Systems”, the “Databases and Information Systems Seminar” (Bachelor and Master level) together with Prof. Deßloch’s group, and the project “Implementation of a Web Search Engine”.

Our demo proposal “To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks” got accepted at VLDB 2023 and our paper “Learning over Sets for Databases” got accepted at EDBT 2024!

Our recent work on “Schema-based Column Reordering for Dremel-encoded Data” got accepted at the BiDEDE workshop and the paper “Tuple Bubbles: Learned Tuple Representation for Tunable Approximate Query Processing” will be presented at aiDM, both workshops are co-located with ACM SIGMOD. Congratulations Patrick and Damjan!

Nico just defended his PhD thesis “On Enabling Efficient and Scalable Processing of Semi-Structured Data”. Congratulations Nico!

The summer term 2023 starts in a few days. Our group will offer two advanced Master-level courses (“Distributed Data Management” and “Information Retrieval and Data Mining”) and the “Databases and Information Systems Seminar” (Bachelor and Master level) together with Prof. Deßloch’s group.

We finally launched our new website under the RPTU domain and in a new and more vibrant design.