Mohammed Shinoy is a Software Engineer at QCRI working on converting research outcomes to production-quality software. He received his Master’s in Mechanical and Mechatronics from the University of Waterloo.
QCRI; HBKU
2020 - PresentMachine Learning Nanodegree; Udacity
2017 - PresentQTTSC; Qatar University
2018 - 2020Reliability Engineering; Blackberry
2014 - 2015University of Waterloo; Canada
2015Manipal University; India
2012"Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application,"; 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), Doha, Qatar, 2020, pp. 237-242, doi: 10.1109/ICIoT48696.2020.9089484.
2020"Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety," ; 2019 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), Tunis, Tunisia, 2019, pp. 13-18, doi: 10.1109/IINTEC48298.2019.9112118.
2019"A Model-Based and Resource-Aware Testing Framework for Parking System Payment using Blockchain,"; 2020 International Wireless Communications and Mobile Computing (IWCMC), Limassol, Cyprus, 2020, pp. 1252-1259, doi: 10.1109/IWCMC48107.2020.9148212
2020