Mr. Hamza Daud | Natural Hazards | Young Scientist Award

Mr. Hamza Daud | Natural Hazards | Student at China University of Geosciences | China

Mr. Hamza Daud is an emerging researcher in geological resources, engineering geology, and geohazards, recognized for his growing scientific contributions in landslide susceptibility modeling, debris-flow dynamics, and advanced geospatial analysis. Educated with a strong academic foundation culminating in a PhD from the China University of Geosciences, Wuhan, Mr. Hamza Daud has built his expertise around integrating deep learning, machine learning, and remote sensing techniques to address complex geohazard challenges. His professional experience includes collaborative authorship on high-impact studies involving reservoir characterization, debris-flow propagation, co-seismic landslide detection, and predictive modeling, reflecting his commitment to advancing hazard assessment and Earth system modeling. Mr. Hamza Daud’s research interests span landslide susceptibility mapping, geomorphology, natural hazard mitigation, remote sensing analytics, and AI-driven environmental prediction. He brings strong research skills in spatial data processing, GIS, numerical simulation, flow modeling, DEM analysis, ensemble learning, and multidisciplinary collaboration. With over 150 citations and publications in reputable journals, he is building recognition in the academic community. His work demonstrates scientific rigor, innovation, and a focus on improving hazard preparedness for vulnerable landscapes. In conclusion, Mr. Hamza Daud continues to advance geoscience research through impactful scholarship and promising contributions to geohazard modeling and environmental risk analysis.

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Featured Publications

The role of multi-resolution DEMs and sampling strategy uncertainty in deep learning-based debris flow susceptibility mapping

– Acta Geotechnica, 2025

Deep learning-augmented crack mapping and SPH-based dynamic simulation for landslide kinematic prediction

– Journal of Rock Mechanics and Geotechnical Engineering, 2025

Accelerating cross-scene co-seismic landslide detection through progressive transfer learning and lightweight deep learning strategies

– IEEE Transactions on Geoscience and Remote Sensing, 2024

Integrating machine learning ensembles for landslide susceptibility mapping in northern Pakistan

– Remote Sensing, 2024

Advanced AI approach for enhanced predictive modeling in reservoir characterization within complex geological environments

– Modeling Earth Systems and Environment, 2024

Modelling of debris-flow susceptibility and propagation: a case study from Northwest Himalaya

– Journal of Mountain Science, 2024

Terrace soil suitability for highway construction: case study in lesser Himalaya (CPEC project E-35), North Pakistan

– International Journal of Economic and Environmental Geology, 2021

Hamza Daud | Natural Hazards | Young Scientist Award

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