Hassan Kassem

Doctoral researcher at the LISER

Hassan works on the project ‘A DATA-DRIVEN MACHINE LEARNING SOLUTION TO ANALYZE AND MITIGATE PEOPLE EXPOSURE TO AIR POLLUTION‘ under the supervision of Hichem Omrani 

This research aims to overcome critical limitations in air pollution monitoring by leveraging satellite data and machine learning techniques. Existing street sensor-based measurements suffer from spatial scarcity, hindering accurate pollution assessment. Satellite remote sensing offers a solution, but its coarse resolution hampers source identification. To address these gaps, this study will utilise Sentinel 5P satellite data, ground-based sensors, Open Street Map API (application programming interfaces), and traffic data to estimate air pollution with fine resolution across Luxembourg (and try to extend to Europe). Ultimately, this research will advance the understanding of urban air pollution dynamics, and contribute to environmental science, remote sensing, and machine learning domains.