This paper proposes a method of generating custom-shaped attractors, which depends on a planarly rotating V-shape multi-scroll chaotic system with...Read More
Mohammed F. Tolba received his B.Sc. in 2014, from Electronics and communications engineering, Fayoum University and M.Sc. in 2018 from Micro-electronics System Design (MSD), Nile University. Currently, he is a research associate at SOC, Khalifa University. His research focused on digital design and implementation of deep learning, Convolution Neural Network (CNN), lightweight encryption, low-power approximation techniques, Graphics Processing Unit (GPU) architectures, computer arithmetic, fractional order circuits, Memristor, and chaotic circuits. Mohammed authored or co-authored over 28 journal and conference papers. Received the best paper award in Modern Circuits and Systems Technologies (MOCAST) 2017. In addition to the best master’s Thesis award July 2018.