Mohamed Elshenawy Ph.D
Assistant Professor, Communications and Information Engineering
Assistant Professor of Communications and Information Engineering
Education: Doctor of Philosophy degree in Engineering from the University of Toronto, Canada in 2017
Research Areas: Operational Artificial Intelligence, Information Technology, Computer Engineering, Software Engineering.
Research Interests: Intelligent and Cooperative Systems, Automated Systems, Machine Learning, Computational Intelligence.
Keywords: Connected and automated vehicles, Decision Support Systems, Intelligent Transportation Systems, Knowledge-based systems, Artificial Neural Networks
1) Elshenawy, M., Abdulhai, B., & El-Darieby, M. (2018). Towards a service-oriented cyber–physical systems of systems for smart city mobility applications. Future Generation Computer Systems, 79, 575-587.
2) Aboudina, A., Kamel, I., Elshenawy, M., Abdelgawad, H., & Abdulhai, B. (2018). Harnessing the Power of HPC in Simulation and Optimization of Large Transportation Networks: Spatio-Temporal Traffic Management in the Greater Toronto Area. IEEE Intelligent Transportation Systems Magazine, 10(1), 95-106.
3) Elshenawy, M., El-darieby, M., & Abdulhai, B. (2018, March). Automatic Imputation of Missing Highway Traffic Volume Data. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 373-378). IEEE.