Skip to content

Our Research Director Is Co-chair at DEBS 2021 [Call for Paper]

Congratulations to our research director Sabri Skhiri on his appointment as industry co-chair of the international conference on distributed and event-based systems.

He will be alongside talented PC members: Martin Strohbach (AGT International), Dimitris Zissis (University of the Aegean), Bogdan Ghit (Databricks), Zbigniew Jerzak (Zalando SE), Romain Rouvoy (Université catholique de Lille), Julius Rückert (Abb Corporate Research Center), Timos Sellis (Facebook), Guozhang Wang (Confluent).

If you are a researcher or an industry practitioner working in distributed and event‐based computing, submit your latest work on the DEBS 2021 industrial track!

Check out the call for the papers for more details.

Releated Posts

Evaluation of GraphRAG Strategies for Efficient Information Retrieval

24.12.2025 / /
Traditional RAG systems struggle to capture relationships and cross-references between different sources unless explicitly mentioned. This challenge is common in real-world scenarios, where information is often distributed and interlinked, making graphs a more effective representation. Our work provides a technical contribution through a comparative evaluation of retrieval strategies within GraphRAG, focusing on context relevance rather than abstract metrics. We aim to offer practitioners actionable insights into the retrieval component of the GraphRAG pipeline.
Read More

Flight Load Factor Predictions based on Analysis of Ticket Prices and other Factors

22.12.2025 / /
The ability to forecast traffic and to size the operation accordingly is a determining factor, for airports. However, to realise its full potential, it needs to be considered as part of a holistic approach, closely linked to airport planning and operations. To ensure airport resources are used efficiently, accurate information about passenger numbers and their effects on the operation is essential. Therefore, this study explores machine learning capabilities enabling predictions of aircraft load factors.
Read More
Load More
Recent Posts
24.12.2025

Evaluation of GraphRAG Strategies for Efficient Information Retrieval

22.12.2025

Flight Load Factor Predictions based on Analysis of Ticket Prices and other Factors

10.09.2025

Investigating a Feature Unlearning Bias Mitigation Technique for Cancer-type Bias in AutoPet Dataset

4.08.2025

Muppet: A Modular and Constructive Decomposition for Perturbation-based Explanation Methods

Tracks
Field of expertises
Academic collaboration