Mohamed A Naiel

Dr. Mohamed Naiel received the BSc degree in Electronics and Communications Engineering from Tanta University, Tanta, Egypt, in June 2006, the MSc degree in Communications and Information Technology from Nile University (NU), Giza, Egypt, in June 2010, and the PhD degree in Electrical and Computer Engineering from Concordia University, Montreal, Canada, in May 2017. During his MSc and PhD programs, he did part of his research in human action recognition in videos, object detection and multi-object tracking. Currently, he is a Postdoctoral Fellow at the Systems Design Engineering Department, University of Waterloo, and Vision and Image Processing Lab, Waterloo, Canada. He did part of his research in several joint academic-industrial collaborative projects in the fields of Computer Vision, Image Processing and Machine Learning that involved many partners, such as Nile University, Concordia University, University of Waterloo, Microsoft's Advanced Technology Lab in Cairo, MakerBloks Inc., Ville de Montreal, Christie Digital Systems, ATS Automation Inc, and Xiris Automation Inc. His research interests include signal, image and video processing, computer vision, machine learning and pattern recognition. Dr. Naiel is a recipient of numerous honors and awards, including Recognition by the IEEE Montreal Section in 2016, and Concordia Full Tuition Recruitment Award in 2011. He has served as a reviewer for many journals and conferences, including, IEEE Transactions on Intelligent Transportation Systems (TITS) and IEEE International Symposium on Circuits and Systems (ISCAS). He was the chair of the Industry Relations Committee of the IEEE Montreal Section from May 2016 to May 2018. During this role, he co-founded the IEEE Research Boost event in 2016. During this role, he co-founded the IEEE Research Boost event in 2016. He has also served as the Program Co-Chair for the 2019 Annual Conference on Vision and Intelligent Systems (CVIS), Waterloo, ON, Canada.