معرفی
Zakaria Alomari is an Assistant Professor of Computer Science at the Vancouver campus of New York Institute of Technology. He joined NYIT in 2023 after earning his Ph.D. in Software Engineering from the University of Quebec in Montreal (2022) and an M.Sc. in Software Engineering from Concordia University (2017). His research focuses on AI/ML applications in networking, cloud computing, and future Internet architectures. He explores challenges like service function chain survivability, cloud pricing mechanisms, and network security solutions.
Zakaria’s educational background includes:
- Ph.D. in Software Engineering, University of Quebec, Montreal, Canada (2022)
- M.Sc. in Software Engineering, Concordia University, Montreal, Canada (2017)
His research interests span Cloud Computing, Software Defined Networking, Network Performance Evaluation, Resource Management, and Network Security. He investigates how AI-driven methods can enhance security and efficiency in distributed systems, including anomaly detection and IoT encryption. His work addresses scalability issues in NFV environments and future network architectures like FlexNGIA, aiming to resolve performance and reliability bottlenecks.
Recent publications highlight trends in leveraging machine learning for cybersecurity (e.g., DDoS detection, IoT IDS), cloud compliance frameworks, and NFV optimization. He also explores public health sentiment analysis via social media data. Current projects include the FlexNGIA initiative to redefine future Internet architectures.
Zakaria has no noted scientific awards or accolades. He teaches advanced courses such as Data Centre Security (INCS 775), Cryptography (INCS 741), and Project I (INCS 870) at NYIT. His advising and grants focus on guiding students through these technical domains and advancing research in emerging network technologies.
His work contributes to interdisciplinary teams tackling challenges in cloud security, NFV resilience, and AI-driven network solutions.
