Mohamed Farghaly

Experience

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  Inari Technology Sdn Bhd

  Jun 2016 - Sept 2016

  Software Developer

  • Develop a software to automate the calibration of Lucent Technologies Laser Test System.• Conduct an experiment for results collection of calibration and compare it to benchmark results

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  LED VISION SDN. BHD

  Sept 2017 - Dec 2021

  Software Developer

  • Worked as full stack developer for indoor LED lighting and smart street lighting system• Worked as Software Automation Engineer for AI traffic simulation using Simulation of Urban MObility (SUMO)

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  Universiti Teknikal Malaysia Melaka

  Sept 2017 - May 2022

  Graduate Research Assistant

  • Conducting research on interpreting the spatial and time-frequncy key features Convolution Neural Network (CNN) classification for Electroencephalogram (EEG) signal.• reviewed the latest introduced CNN models for classifying motor execution EEG task.• investigated the effect of hyperparameters tuning and pre-processing on the classification performance.• investigated the key spatial features used by CNN for classification using occlusion sensitivity.• investigated the key time-frequency features used by CNN for classification using occlusion sensitivity. Show less

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  Malaysian Institute of Road Safety Research (MIROS)

  Jul 2020 - Apr 2021

  Software Engineer

  • Full Stack developer, develop a full system able to control and record data from stereo cameras, GPS, digital inclinometer and 360 camera.• Embedded systems developer, control the stereo camera and the GPS module using StereoPi.• AI Engineer, design a pipeline to detect and track cars from recorded stereo images to be used for speed tracking.