The ACM SIGMOD/PODS Conference is one of the world’s leading forums for research in database systems and data management. Its 2026 edition took place May 31 – June 5, 2026, in Bengaluru, India. The Data & AI Cluster is represented with several research papers, workshop contributions, and review distinctions.
Prof. Felix Naumann contributed several papers and took on a number of roles at the conference: as a session chair for the research track “Data Structures, Compression & Data Quality”, as a mentor in the New Researchers Program, and as a panelist at the DEI panel “Human–AI Partnership in Data Systems: Inclusion by Design or Bias at Scale?”. Since 2026 he is also a member of the SIGMOD Submission and Review Ethics Committee (SREC).
Prof. Tilmann Rabl contributed two research papers and served as an Associate Editor receiving a Distinguished Associate Editor certificate, and was a member of the Best Paper Award Committee. Two further members of his group contributed to the conference’s organization: Dr. Martin Boissier served on the SIGMOD Program Committee and was recognized as a Distinguished Reviewer, and Nils Strassenburg served on the Program Committee of the AIDM workshop.
Prof. Matthias Weidlich contributed a paper on a suggestion framework for developing scientific workflows that assists developers by suggesting the next operator. He also served on the SIGMOD Program Committee and was recognized as a Distinguished PC Member.
Prof. Eleni Tzirita Zacharatou contributed a paper to the International Workshop on Testing Database Systems (DBTest), co-located with SIGMOD, on benchmarking spatial operations over heterogeneous data. Prof. Zacharatou also served as a member of the SIGMOD Program Committee.
Contributions:
Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach
Ge Lee (RMIT University), Shixun Huang (University of Wollongong), Zhifeng Bao (The University of Queensland), Felix Naumann (Hasso Plattner Institute), Shazia Sadiq (The University of Queensland), Yanchang Zhao (CSIRO)
Burr: A Benchmark for Ontology Learning from Relational Databases [Experiments & Analysis]
Lukas Laskowski (Hasso Plattner Institute, University of Potsdam), Michael Hladik (SAP SE), Jan Portisch (SAP SE), Fabian Panse (University of Augsburg), Felix Naumann (Hasso Plattner Institute)
Inference-Aware & Privacy-Preserving Deletions in Databases [Vision] (SeQureDB Workshop)
Vishal Chakraborty (UC Irvine), Youri Kaminsky (Hasso Plattner Institute), Arnav Dhariya (UC Irvine), Sharad Mehrotra (UC Irvine), Felix Naumann (Hasso Plattner Institute), Sarvesh Pandey (Banaras Hindu University)
Enjima: A Resource-Adaptive Stream Processing System
Lasantha Fernando (University of Waterloo), Taebin Kim (University of Waterloo), Khuzaima Daudjee (University of Waterloo), Tilmann Rabl (Hasso Plattner Institute)
SmartRabbit: An Interactive Query Processor
Pratyoy Das (UC Irvine), Martin Boissier (Hasso Plattner Institute), Kyoung-Min Kim (EPFL), Sharad Mehrotra (UC Irvine), Tilmann Rabl (Hasso Plattner Institute)
FlowPilot: A Suggestion System for Designing Scientific Workflows
Mahdi Esmailoghli (Humboldt University of Berlin), Matthias Weidlich (Humboldt University of Berlin)
Benchmarking Spatial Operations over Heterogeneous Data: The Case of Zonal Statistics (DBTest Workshop)
Gereon Dusella (TU Berlin), Haralampos Gavriilidis (International Computer Science Institute), Volker Markl (TU Berlin), Eleni Tzirita Zacharatou (Hasso Plattner Institute)
