بعد أكاديمية كاوست
As of October 2026, Mohammed has an electrical engineering background from King Fahd University of Petroleum and Minerals, with studies ending in December 2025.
المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2025
Machine Learning Model Compression for Radiation/Particle Classification on SoC-FPGA
SoC-FPGA technology is increasingly used for hardware acceleration of ML models thanks to its key advantages, including high parallelism, low power consumption, and low latency. However, mapping an ML architecture to a SoC-FPGA often requires the application of compression strategies to create a hardware design that effectively balances model performance, memory footprint, and inference time. This project focuses on employing an end-to-end workflow to map deep neural networks (DNNs) onto SoC-FPGAs for real-time classification of radiation and particles.
المشرف: Romina Molina and Maynor Ballina
مع أكاديمية كاوست
- دفعة 2025
المركز الدولي للفيزياء النظرية (ICTP) · التدريب الصيفي في الذكاء الاصطناعي
هل تريد تحديث بياناتك أو حذفها؟ تواصل معنا.