IMPORTANT NOTE:
The safety and well-being of all conference participants is our priority. After evaluating the COVID-19 uncertainty, the decision has been made to transform the in-person component of IntelliSys 2020 into a virtual format. Intelligent Systems Conference (IntelliSys) 2020 will now be held as an online/virtual event on 3 & 4 September 2020.

Profile

El Sayed  Mahmoud

El Sayed Mahmoud

Sheridan College Institute of Technology and Advanced Learning

Domain of Research: Artificial Intelligence, Software Engineering and Quality, Artificial Neural Networks, Business Intelligence, Data Mining, Data Science, Evolutionary Algorithms, Evolutionary Computing, Genetic Algorithms, Machine Learning, Soft Computing, Software Engineering, Supervised and Unsupervised Learning, Support Vector Machines, Web Analytics>

El Sayed Mahmoud, PhD Professor, Applied Computing Sheridan | Get Creative T: 905 845 9430 x5050 El Sayed Mahmoud received his PhD in computer science from the University of Guelph, Canada in 2012, and joined Sheridan in 2013. In 1991, El Sayed began his career as a software developer at ECS (a software house in Egypt). In 1994, he became a computer instructor at AICT, a computer institute that has certified partnerships with Microsoft and Edexcel in the Middle East. In 1995, he was promoted to branch manager at AICT. In 1997, he achieved a Microsoft-certified trainer status and was promoted to regional manager. In 2006, El Sayed started his graduate studies at the University of Guelph and worked for the university as a research assistant. In 2008, he received a master’s degree in computer science from the University of Guelph and started his PhD at the same university. El Sayed’s research interests include machine learning and multi-objective optimization using genetic algorithms. His current research focuses on developing robust machine learning algorithms for addressing challenging patterns in health, business and privacy applications. El Sayed has published six peer-reviewed papers and given four seminars on machine learning at international conferences.