Prof. Niv Dayan, his PhD student Navid Eslami and co-author Ioana Bercea receive Best Paper Award at VLDB 2025

Professor Niv Dayan, his PhD student Navid Eslami and their co-author Ioana Bercea (KTH Royal Institute of Technology) receive the Best Paper Award for their work titled “Diva: Dynamic Range Filter for Var-Length Keys and Queries” at the 51st International Conference on Very Large Data Bases (VLDB) in London this September. Diva brings databases a powerful new capability: it can tell with high probability whether the target key range of a query is empty—regardless of the key type or range length. This helps avoid redundant disk accesses and can drastically improve performance, especially for key-value stores like LSM-trees.

A well-deserved award for a data structure that knows how to filter out the competition!