Rana Magdy Ahmed Omran

Graduation Project : Acceleration of Deep Learning (mainly Deep Convolutional Neural Network "Alex Net") using FPGA sponsored by Mentor Graphics under the supervision of Dr. Hassan Mustafa using Verilog. The main target is to reach a higher speed compared to other implementations while taking into consideration to have reasonable utilization of resources (area) and power. • Publishing a paper in 2018 30th International Conference on Microelectronics (ICM) held in Tunisia with the title “Accelerating Deep Neural Networks Using FPGA: https://ieeexplore.ieee.org/document/8704085/. • Winner of 1st place in “Tarek Gamal El Din” Graduation Project