Dr. Nada Alzaben | Deep Learning for Computer Vision | Research Excellence Award
Assistant Professor | Princess Nourah Bint Abdulrahman University | Saudi Arabia
Dr. Nada Alzaben is an Assistant Professor at Princess Nourah bint Abdulrahman University (PNU), Saudi Arabia, and a recipient of the Research Excellence Award. Her expertise spans networking, scheduling algorithms, IoT systems, reinforcement learning, deep learning, and remote sensing analytics. She has authored 28 peer-reviewed publications with 49 citations, an h-index of 4, and sustained scholarly impact since 2020. Her research integrates AI-driven optimization with real-world applications including phishing detection, SDN routing, UAV surveillance, landslide monitoring, smart agriculture, and marine pollution mapping. Through extensive international collaborations, Dr. Alzaben contributes to advancing sustainable digital infrastructures and intelligent societal systems.
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Featured Publications
Hybrid stacked autoencoder with dwarf mongoose optimization for phishing attack detection in internet of things environment.
– Alexandria Engineering Journal. (2024). Cited By : 12
End-to-end routing in SDN controllers using max-flow min-cut route selection algorithm.
-In Proceedings of the 2021 23rd International Conference on Advanced Communication Technology (ICACT). (2021). Cited By: 10
The most promising scheduling algorithm to provide guaranteed QoS to all types of traffic in multiservice 4G wireless networks.
-In Proceedings of the 2012 Ninth International Joint Conference on Computer Science and Software Engineering (JCSSE). (2012). Cited By: 6
Improving quality of service (QoS) in wireless multimedia sensor networks using epsilon greedy strategy.
– Measurement Science Review. (2024). Cited By: 5
Integrated geotechnical and remote sensing-based monitoring of unstable slopes for landslide early warning using IoT and sensor networks.
– Journal of South American Earth Sciences. (2025). Cited By: 4
