I'm a PhD Researcher — Deep Learning & Remote Sensing
Applying deep learning to satellite remote sensing for precision agriculture across Morocco’s farmlands.
About Me
I’m a PhD researcher in deep learning and remote sensing for precision agriculture. I design hybrid CNN–Mamba models that map crops from satellite radar across Morocco’s farmlands — building AI that’s accurate, explainable, and built for real-world impact. First-author of two IEEE papers, with international research collaborations.
Researching AI for Earth Observation, From Morocco to the World.
I’m Mohamed El Asri, a PhD researcher (2025–2028) at the LISTM Laboratory, Chouaib Doukkali University. I work at the crossroads of deep learning and satellite remote sensing, designing hybrid CNN–Mamba models that classify crops from multi-temporal Sentinel-1 SAR data across the Tadla, Gharb, and Souss-Massa plains.
My focus is building AI that experts can trust — pairing modern deep learning with the physics of how radar interacts with vegetation, so results are both accurate and explainable.
First-author of two IEEE papers, with journal articles in preparation, I collaborate with research teams across Europe and stay active in scientific innovation and entrepreneurship.
My mission: make agriculture smarter, more resilient, and data-driven for the regions that need it most.
What Services I'm Providing
Deep Learning Model Development
Custom AI architectures (CNN, Mamba, transformers, hybrids) built and trained for your remote sensing problem, with a focus on accuracy, robustness, and explainability.
Crop Classification & Mapping
Large-scale crop type mapping and monitoring from satellite imagery, designed for precision agriculture, irrigation management, and yield assessment.
Work Experience
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My Portfolio
What My Clients Says
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Stay In Touch
Stay informed about my newest papers, projects, and collaborations in deep learning and Earth observation.