Mohamed Marei

Mohamed is a Project Engineer in Automation Systems at Warwick Manufacturing Group (WMG), The University of Warwick. He obtained his PhD at Coventry University, having studied intelligent predictive models for smart manufacturing systems. His research focus has been developing deep learning approaches for enhancing machine health and performance understanding at component and machine level. In this research, different data modalities were explored to predict machine tool wear from images and numerical data using feature learning methods, dealing with data availability constraints. Mohamed 's undergraduate background is in Mechatronic and Robotic Engineering, graduating with an MEng from the University of Sheffield (2012-2016). His undergraduate thesis focused on developing a computer vision add-on for a self-reconfigurable modular robot platform developed at the Sheffield Robotics laboratory.