Bio

     Abdelrhman Mohamed Ibrahim Sayed Abotaleb received the BSc. degree in Electronics and Communications Engineering from Cairo University, Cairo, Egypt in 2010, Mathematical Qualified Engineering MSc from Cairo University, Cairo, Egypt in 2013, second BSc. degree with honors in Computer Engineering from Cairo University, Cairo, Egypt in 2018, and MSc degres in Computer Engineering from Cairo University, Cairo , Egypt in 2021.

  He is currently working as lecturuer assistant at computer engineering department, Cairo University, Cairo, Egypt.

  He worked as teaching assistant at mathematical engineering department (2012-2014), Cairo University, Cairo, Egypt, also as intermediate instructor at Zewail City of Science and Technology, Cairo, Egypt, since December 2014, Communications and Information Theory department, and also as teacher assistant at Nile University, Communications and Electronics Engineering during Spring 2018.

     He worked as bioinformatics research assistant at Zewailycity during 2016 and worked in building a biophysics simulation tool using FORTRAN and C++ for chromatin electrostatic interactions and forces simulation based on Brownian dynamics.

     He worked also in different projects related to the application of convolutional neural networks and image processing for several biomedical applications including the seizure detection at ONELAB, opto-nano-electronics LAB at Cairo, Egypt since 2019.

   He worked also since 2017 till 2020 in industrial projects with the egyptian militrary production minstry in developing projects like the railway gates control system, smart meters and recently the mechanical ventilator and oxygen concentrators. 

    Three of his recent published papers ware about optimizing the convolutional neural networks for the detection algorithms and enabling FPGA based hardware implementations.            

    His research interests include Embedded Systems,Image processing, Convolutional neural networks, bioinformatics applications, IoT hardware security, big data, machine intelligence and software defined radio.

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