Akrem El Ghazal | Faculty & staff bios

Name	Akrem El-Ghazal
School	School of Applied Computer Science & Information Technology
Program	Bachelor of Computer Science(Honours) Software Engineering Technology Mobile Solutions Development
Academic and Professional Designations	PhD in Computer Engineering (Excellent AGPA), Pattern Analysis & Machine Intelligence, University of Waterloo MS in Computer Engineering (with Honors: 3.89/4), University of Benghazi Bachelor of Science (BSc) (with Honors), University of Benghazi
Title	Professor
Courses Taught	PROG1350 - Software Engineering Fundamentals PROG3230 - Mobile Application Development II PROG71020 - Object Oriented Programming PROG8225 - Mobile Solutions Capstone Project PROG8470 - Mobile Application Development - iOS SENG2020 - Software Quality
Areas of Expertise & Interest	Software Engineering Big Data Engineering and Machine Learning Mobile Application Development Team and Project Management
Industry Experience, Professional Currency Activities	10+ years of hands-on industrial software experience (Big Data, Machine Learning and Mobile Development) Strong leadership skills through managing several innovative projects Proven record of success in developing innovative solutions and transferring concepts into practical solutions Hold several issued and pending patents/publications
Major Research Projects, Scholarly Activities, and/or Publications	Patents: A. El-ghazal, J Toonstra, W. Miners, and O. Basir. "Opportunistic calibration of a smartphone orientation in a vehicle." U.S. Patent App. 15/095,870. Book chapters: A. El-Ghazal, O. Basir and S. Belkasim, "Shape-Based Image Retrieval using Pair-wise Candidate Co-ranking", Image Analysis and Recognition, Springer-Verlag Berlin Heidelberg, pp. 650-661, 2007 Journal publications: A. El-Ghazal, O.Basir and S. Belkasim, "Invariant Curvature-based Fourier Shape Descriptors" Journal of Visual Comm. and Image Representation, Vol. 23, Issue-4, pp. 622-633, 2012
Additional Information	Akrem enjoys finding and creating practical solutions to solve challenging problems that require the use of advanced software engineering, machine learning, and pattern recognition. Throughout his career, he has a proven record of success in developing innovative solutions and transferring concepts into practical solutions. During his 10+ years of industrial experience in Big Data Engineering, Machine Learning, Mobile Development domains, and working at several tech companies, he built several new products and improved existing ones. What Akrem enjoys most is utilizing his industrial experience to teach software courses and pass on his industrial knowledge to his students.