A Microservices Based Architecture for Implementing and Automating ETL Data Pipelines for Mobile Crowdsensing Applications. - Hafsa El Hafyani; Mohammad Abboud; Yehia Taher (IEEE BigData, 2021)

Micro-environment Recognition in the context of Environmental Crowdsensing. - Mohammad Abboud; Hafsa El Hafyani; Jingwei Zuo; Karine Zeitouni; Yehia Taher (EDBT/ICDT Workshops, 2021)

Tell Me What Air You Breath, I Tell You Where You Are. - Hafsa El Hafyani; Mohammad Abboud; Jingwei Zuo; Karine Zeitouni; Yehia Taher (SSTD, 2021)

Fine-grained location prediction of non geo-tagged tweets: a multi-view learning approach. - Mohammad Abboud; Karine Zeitouni; Yehia Taher (GeoAI@SIGSPATIAL, 2022)

Enriching fixed stations air pollution monitoring with opportunistic mobile monitoring. - Mohammad Abboud; Karine Zeitouni; Yehia Taher (EDBT/ICDT Workshops, 2023)

Leveraging machine learning for multi-source data enrichment and analytics in air quality monitoring and crowd sensing. (Application de l'apprentissage automatique à l'enrichissement et l'analyse de données multi-sources dans la surveillance de la qualité de l'air et la collecte participative). - Mohammad Abboud (2023)

Learning the micro-environment from rich trajectories in the context of mobile crowd sensing. - Hafsa El Hafyani; Mohammad Abboud; Jingwei Zuo; Karine Zeitouni; Yehia Taher; Basile Chaix; Limin Wang (GeoInformatica, 2024)

How opportunistic mobile monitoring can enhance air quality assessment? - Mohammad Abboud; Yehia Taher; Karine Zeitouni; Ana-Maria Olteanu-Raimond (GeoInformatica, 2024)