Nael Radwan | Computer Science | Research Excellence Award

Dr. Nael Radwan | Computer Science | Research Excellence Award

Dr. Nael Radwan is a computer science researcher specializing in Internet of Things, network security, and computer networks, with strong expertise in protocol optimization and distributed systems. His research focuses on securing IoT environments through adaptive flow control, authentication mechanisms, and performance evaluation under high-load conditions. He has contributed multiple peer-reviewed publications addressing MQTT protocol security and system resilience. His academic experience includes teaching, curriculum design, and student mentoring across diverse computing disciplines. He integrates research with teaching, emphasizing outcomes-based education, instructional technology, and ethical computing, while contributing to academic assessment, program development, and innovation in technology-enhanced learning environments.

Citation Metrics (Google Scholar)

1200

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0

Citations
1111

h-index
22

🟦 Citations    🟥 i10-index    🟩 h-index


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Featured Publications


A Study: The Future of the Internet of Things and Its Home Applications

– International Journal of Computer Science and Information Security


Big Data Ethics

– International Journal of Computer Science and Information Security


MQTT in Focus: Understanding the Protocol and Its Recent Advancements

– International Journal of Computer Science and Security


Underwater Communication through Medium Access Control

– International Journal of Computer Science

 

Ouiem Bchir | Computer Science | Research Excellence Award

Prof. Ouiem Bchir | Computer Science | Research Excellence Award

Professor | Computer Science Department, King Saud University | Saudi Arabia

Prof. Ouiem Bchir is a distinguished researcher in computer science with expertise in machine learning, deep learning, computer vision, and pattern recognition. Her research focuses on clustering techniques, semi-supervised and unsupervised learning, hyperspectral image analysis, and intelligent systems for healthcare, security, and multimedia applications. She has contributed extensively to advanced methodologies such as autoencoders, convolutional neural networks, and fuzzy clustering models. With a strong publication record, she has achieved an h-index of 12, with 527 citations across 65 documents. Her research approach integrates theoretical innovation with practical applications, significantly advancing intelligent data analysis and decision-making systems.

Citation Metrics (Scopus)

600

450

300

150

0

Citations
527

Documents
65

h-index
12

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications