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Tarik Elmouden
Dr.
Tarik El Moudden
holds a Ph.D. in Computer Science (2025) from Ibn Tofail University, Kenitra, with research focused on deep learning for image classification and hypothesis testing using geospatial data. He also earned a DESA in Computer Science and Telecommunications (2008), a Bachelor's in Physics (2000) specializing in electronics, and a certification in computer science education (2003). Over his career, he has acquired multiple certifications from institutions such as NASA, IBM, Coursera, and Packt, covering machine learning, sports analytics, concurrent programming, AI-driven project management, and remote sensing. His publications in Scopus-indexed journals and conference contributions address topics including slum detection, convolutional neural networks, planetary influence on seismic activity, and environmental monitoring.
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