Dr. Azzam Mourad is a professor of computer science at the Department of Computer Science and Mathematics and founding director of the Cyber Security Systems and Applied Artificial Intelligence 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.

Research Interests and Projects

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.

Awards and Grants

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.

Professional Memberships

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.

Selected Publications

1. Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services. In the IEEE/ACM Transactions on Networking, 2019, IEEE.
2. Dynamic On-Demand Fog Formation Offering On-The-Fly IoT Service Deployment. In the IEEE Transactions on Network and Service Management, 2019, IEEE.
3. Cloud Federation Formation Using Genetic and Evolutionary Game Theoretical Models.  In the Future Generation Computer Systems Journal, 2019, Elsevier.
4. A Novel Ad-Hoc Mobile Edge Cloud Offering Security Services through Intelligent Resource-Aware Offloading. In the IEEE Transactions on Network and Service Management, 2019, IEEE.
5. Resource-Aware Detection and Defense System Against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game. In the IEEE transactions on Dependable and Secure Computing, 2019, IEEE.
6. On the Detection of Passive Malicious Provider in Cloud Federations. In the IEEE Communications Letter, 23 (1): 64-67, 2019, IEEE
7. Selective Mobile Cloud Offloading to Augment Multi-Persona Performance and Viability. In the IEEE Transactions on Cloud Computing, 7(2): 314-328, 2019, IEEE
8. A Novel On-Demand Vehicular Sensing Framework for Traffic Condition Monitoring. In the Vehicular Communications Journal, 12: 165-178, 2018, Elsevier
9. Optimal Load Distribution for the Detection of VM-Based DDOS Attacks in the Cloud. In the IEEE Transactions on Services Computing, 2017, IEEE.
10. SBA-XACML: Set-Based Approach Providing Efficient Policy Decision Process for Accessing Web Services. In the Journal of Expert Systems with Applications, 42(1): 165-178, 2015, Elsevier.

Academic Degrees

• 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