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Educational Details
- Ph.D. in Automatic Control Engineering (2014) – Mansoura University, Egypt
Thesis: Ranking of Distributed Uncertain Database Systems
- M.Sc. in Automatic Control Engineering (2009) – Mansoura University, Egypt
Thesis: Performance Evaluation of UML Software Models Based on LQN
- B.Sc. in Computers and Systems Engineering (2004) – Mansoura University, Egypt (Very Good)
Professional Experience
Dr. Yousry AbdulAzeem is an Associate Professor of Computer Science and Engineering with extensive academic and industry experience. He is currently a full-time Associate Professor at the Misr Higher Institute for Engineering and Technology, Mansoura, Egypt, and also serves as an Adjunct Associate Professor at both the University of Science and Technology (Zewail City, Giza) and The Higher Institute of Engineering (El-Shorouk Academy, Cairo, Egypt).
From 2015 to 2022, he worked as an Assistant Professor at Taibah University, Saudi Arabia, where he taught courses in network security, programming, database systems, and artificial intelligence. Before this, he held academic roles at Mansoura University and Misr Higher Institute for Computers and Commerce.
In addition to his academic career, Dr. AbdulAzeem has industry experience as a Technical Director and Executive Manager at Trust IT (2007–2009) and a Senior Programmer & Project Administrator at Aflak Masr for Information Technology (2004–2006). He also has significant experience in academic mentoring and quality assurance, having served as the Academic Mentoring Manager at both Taibah University (2017–2022) and Misr Higher Institute for Engineering and Technology (2023–present).
Research Interest
- Distributed Database Systems
- Software Performance Engineering
- Artificial Intelligence & Knowledge Representation
- Data Governance & Security
- Cloud Computing & Distributed Systems
Top Noted Publication
“A CNN-based framework for classification of Alzheimer’s disease” – Neural Computing and Applications (2021)
- Citations: 127
- Developed a deep learning framework for Alzheimer’s disease classification using CNNs.
“A congestion-aware clustering and routing (CCR) protocol for mitigating congestion in WSN” – IEEE Access (2019)
- Citations: 61
- Proposed a congestion-aware routing protocol for wireless sensor networks.
“Human action recognition based on transfer learning approach” – IEEE Access (2021)
- Citations: 53
- Applied deep transfer learning for human activity recognition in videos.
“An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest X-ray images” – PeerJ Computer Science (2021)
- Citations: 39
- Introduced an optimized AI model for COVID-19 detection using X-ray images.
“Classification of breast cancer using a manta-ray foraging optimized transfer learning framework” – PeerJ Computer Science (2022)
- Citations: 27
- Developed a bio-inspired optimization technique for breast cancer classification.
Conclusion
Assoc. Prof. Dr. Yousry AbdulAzeem is a highly qualified and impactful researcher in Artificial Intelligence and Distributed Systems. His strong publication record, interdisciplinary expertise, and leadership roles make him a top contender for the Best Researcher Award.
To further strengthen his case, he could increase grant acquisitions, expand international collaborations, and focus on AI deployment in real-world applications. Given his high citation impact, research relevance, and academic leadership, he is a strong candidate deserving recognition.