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fusion, enabling next-generation solutions in precision health and biomedical research. Scientific Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring
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relevant journals/conferences. Experience with multimodal data fusion (optical/SAR/soil/phenology), satellite platforms (Sentinel/Landsat/GEE), and building reproducible pipelines. Field/ground-truth
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of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time
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