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Ngouh Muhammad Nasser Mouliom


Coop Masters, 2019/2021

While at AIMS, Nasser investigated the data aggregation problem in wireless sensor networks and found out that organizing IoT nodes around clusters in a fog computing architecture improves the usage of network resources. He subsequently proposed an efficient approach (based on the unsupervised learning algorithm KMeans) allowing data discrimination and network lifetime extension.

Nasser is currently a Data Mining Specialist at MTN Cameroon.

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