Hamza Dugmag

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About

Hamza Dugmag is a researcher focused on advancing autonomous navigation for environmental monitoring, with a particular emphasis on Autonomous Surface Vessels (ASVs) for water-quality assessment. His key contributions lie in developing stochastic planning methods that leverage satellite imagery as coarse maps to guide robotic sampling routes in dynamic aquatic environments. By addressing the inherent inconsistencies between satellite data and real-world conditions—such as shifting water levels, vegetation, and currents—Dugmag’s work enhances the reliability of ASVs in performing automated lake monitoring. His most-cited paper, "Stochastic Planning for ASV Navigation Using Satellite Images" (2023), has garnered 4 citations, marking an early but promising impact in the field. This research bridges the gap between remote sensing and field robotics, offering a cost-effective solution for continuous water-quality surveillance. Dugmag’s work is notable for its practical application in environmental science, where it reduces the need for manual data collection and enables scalable, long-term monitoring of freshwater ecosystems. As a rising scholar, his contributions are paving the way for more resilient autonomous systems in uncertain natural environments.