Mohamed Abdelmaksoud

Mohamed Abdelmaksoud

Doctoral Researcher at BIFOLD | D2IP Group

Publications

Conference Papers

RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms

Published in IEEE International Conference on Data Engineering (ICDE), 2026

RAMSeS introduces a robust and adaptive framework for selecting the best anomaly detection algorithm for time-series data, improving detection reliability across diverse scenarios.

Recommended citation: Abdelmaksoud, Mohamed, Sheng Ding, Andrey Morozov, and Ziawasch Abedjan. "RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms." ICDE. 2026.

Towards Identifying Intent of Data Errors

Published in VLDB Workshop (Proceedings of the VLDB Endowment, ISSN 2150-8097), 2025

This paper proposes a framework for identifying the intent behind data errors, advancing the understanding of error provenance in data management.

Recommended citation: Abdelmaksoud, Mohamed, Konrad Rieck, and Ziawasch Abedjan. "Towards Identifying Intent of Data Errors." Proceedings of the VLDB Endowment. ISSN 2150-8097.