Raed Fatta

بعد أكاديمية كاوست

As of October 2026, Raed is studying electrical and computer engineering at King Abdulaziz University. Raed presented NNAware, a framework for mapping neural networks onto IoT devices built during a research internship in Italy, at the KAUST Academy closing ceremony.

المشروع الصيفي

تخصص الذكاء الاصطناعي · دفعة 2026

Developing a Neural Network Aware Communication Framework for IoT devices

This project develops a high-level neural-network-aware communication framework for distributed inference across physically separated and resource-constrained IoT devices, enabling each device to act as an individual computing node within a neural network. The framework provides mechanisms for device addressing, message formatting, input synchronization, transmission scheduling, transport abstraction, and lightweight fault tolerance, allowing multiple IoT devices to coordinate a distributed forward inference pass while remaining independent of the underlying communication technology.

اقرأ التقرير النهائي (PDF)

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