Dr. Azzam Mourad is a professor of computer science at the Department of Computer Science and Mathematics and founding director of the Artificial Intelligence and Cyber Systems Research Center at LAU.
Dr. Mourad is also an adjunct/affiliate professor at the École de technologie supérieure (ÉTS) of the University of Québec. He holds a PhD in Electrical and Computer Engineering from Concordia University, Canada and an MSc in Computer Science from Laval University, Québec, Canada.
Dr. Mourad’s research interests include cyber security; federated machine learning; intelligent service/network/computation optimization and management in emerging technologies including the Internet of Things, cloud/fog/edge computing, and vehicular and mobile systems and networks.
Dr. Mourad has received several national and international research grants and won a number of prestigious and merit awards for his research work in the last couple of years including the LAU Research Excellence Award 2017.
He has supervised to successful completion three postdoctoral fellows, three PhD and 25 master’s students and several undergraduate projects at LAU, Concordia University, ÉTS Montreal and the Lebanese University. He is currently co-supervising one postdoctoral fellow, 10 PhD students and three master’s students at LAU, Concordia University and ÉTS Montreal.
He is a senior IEEE member, and associate editor for the IEEE Transactions on Services Computing, IEEE Network, IEEE Transactions on Network and Service Management, IEEE Open Journal of the Communications Society, IET Quantum Communication and IEEE Communications Letters.
He is also a TPC member of several prestigious conferences and a technical reviewer of several highly ranked journals. He has served as general chair of IEEE IWCMC 2020, general co-chair of IEEE WiMob2016 and track/workshop/publicity chairs of several IEEE conferences.
- Sami, H., Mizouni, R., Otrok, H., Singh, S., Bentahar, J., & Mourad, A. (2024). LearnChain: Transparent and cooperative reinforcement learning on Blockchain. Future Generation Computer Systems, 150, 255–271. https://doi.org/10.1016/j.future.2023.09.012
- S. AbdulRahman, S. Otoum, O. Bouachir and A. Mourad. (2023). Management of Digital Twin-driven IoT using Federated Learning. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/JSAC.2023.3310102
- Arafeh, M., Otrok, H., Ould-Slimane, H., Mourad, A., Talhi, C., & Damiani, E. (2023). ModularFed: Leveraging modularity in federated learning frameworks. Internet of Things, 22, 100694. https://doi.org/10.1016/j.iot.2023.100694
- Sami, H., Otrok, H., Bentahar, J., Mourad, A., & Damiani, E. (2022, October 30). Reward Shaping Using Convolutional Neural Network. https://doi.org/10.48550/arXiv.2210.16956
- PhD in electrical and computer engineering, 2009, Concordia University, Montreal, Canada
- MSc in computer science, Laval University, Quebec, Canada
- BS in computer science, Notre Dame University, Lebanon