PHD specializing in improving the Internet of Things based on distributed deep learning models at the Faculty of Sciences in Agadir. Hold a Research Master's degree in Data Science and multiple professional certifications from Google, Coursera, and Huawei, including the TensorFlow Developer Certificate. Led a team to first place at the Northern Africa Huawei Developer Competition—part-time professor at the National School of Applied Sciences, and FSA Agadir, Ibn Zohr University. Experienced public speaker, having presented at DevFest Agadir 2024 by GDSC, DevFest Guelmim 2024, and contributed to multiple speaking experiences with faculty clubs in Agadir. Active volunteer and organizer at the @Sciences Pour Tous association, working to enhance digital capabilities in the Souss Massa region. Including organizing the annual "Agadir Smart City" meeting.
Is Edge AI, Federated Learning, and IoT a perfect match? In this session, we'll look at how these technologies work together to make IoT smarter. We'll see how running machine learning directly on devices (Edge AI) enables fast, local decisions. Then, we'll explain Federated Learning – the approach where many distributed devices (like sensors or cameras) can collectively improve an ML model by sharing only model updates, keeping everyone's raw data private and local. You'll learn how this combination addresses real challenges: cutting delays, strengthening privacy, and creating new applications where sending everything to the cloud isn't practical. The session will include a demonstration using TensorFlow.
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