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    Mohamed Ben Salah

    Applied Data Science manager
    Intel Corporation
    Beaverton, OR, United States

    Mohamed Ben Salah is an engineering manager at Intel, specializing in machine learning, computer vision, and data science for semiconductor manufacturing. With a PhD in Computer Science and a strong foundation in image processing and pattern recognition, Mohamed leads cutting-edge research and development focused on yield optimization and logic technology. His work integrates advanced algorithms for image segmentation, object detection, and medical image analysis—skills honed through academic research and postdoctoral work at the University of Alberta.
    At Intel, he contributes to developing AI-powered solutions that enhance chip production processes, leveraging statistical modeling, feature extraction, and scalable ML pipelines.
    Mohamed has published extensively in peer-reviewed journals, with research cited in fields ranging from brain tumor segmentation to cardiac imaging and adaptive tracking. He continues to bridge the gap between theory and application, applying rigorous scientific methods to solve complex, real-world engineering challenges.

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