Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Timeƒ. - Romaric Duvignau; Bastian Havers; Vincenzo Gulisano; Marina Papatriantafilou (ITSC, 2019)

The role of event-time order in data streaming analysis. - Vincenzo Gulisano; Dimitris Palyvos-Giannas; Bastian Havers; Marina Papatriantafilou (DEBS, 2020)

DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks. - Bastian Havers; Romaric Duvignau; Hannaneh Najdataei; Vincenzo Gulisano; Marina Papatriantafilou; Ashok Chaitanya Koppisetty (Future Gener. Comput. Syst., 2020)

Ananke: A Streaming Framework for Live Forward Provenance. - Dimitris Palyvos-Giannas; Bastian Havers; Marina Papatriantafilou; Vincenzo Gulisano (Proc. VLDB Endow., 2020)

Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge. - Romaric Duvignau; Bastian Havers; Vincenzo Gulisano; Marina Papatriantafilou (IEEE Access, 2021)

Proposing a framework for evaluating learning strategies in vehicular CPSs. - Bastian Havers; Marina Papatriantafilou; Ashok Koppisetty; Vincenzo Gulisano (Middleware Industry, 2022)

Research Summary: Enhancing Localization, Selection, and Processing of Data in Vehicular Cyber-Physical Systems. - Bastian Havers; Marina Papatriantafilou; Vincenzo Gulisano (ApPLIED@PODC, 2024)

Nona: A Framework for Elastic Stream Provenance. - Bastian Havers; Marina Papatriantafilou; Vincenzo Gulisano (ICDCS, 2024)