A simple icon, consisting of a series of links surrounded by a circle, is a common symbol for a connection or hyperlink. The lines of the icon are outlined in a dark black color on the background, with the addition of military elements of the Saudi national identity such as the Ghutra, Shamaa, and Saudi Bisht, to reflect the distinctive local character of Qassim University.
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All links to official educational websites of government agencies in Saudi Arabia end with .edu.sa.
Black leather minimalist gesture tag, black circular grip, topped with a clear depiction of a Saudi tunic with a shamma and aqal, emphasizing the features of the Saudi bisht. This design symbolizes the concept of security and digital data privacy and reflects the identity of Qassim University.
protocol for encryption and security. HTTPS for encryption and security.
Secure websites in the Kingdom of Saudi Arabia use the HTTPS protocol for encryption.
Digital Government Authority

Faculty members

Content

Inside a building, a man dressed in a traditional white uniform with a red and white Saudi shemagh wears a neutral expression as if he were taking a picture of a faculty file at Qassim University.
Photo of the faculty member

Sulaiman Amro S Alamro

College
section

Personal data

    Scientific qualifications

      Research interests

        Published research

        • Mapping coastal landforms and geomorphological features using remote sensing and machine learning (2025-10-18)
        • Enhancing physical security in IIoT environments (2025-06-13)
        • Machine learning-based shoreline analysis and prediction: Assessing erosion patterns and future changes using remote sensing and GIS techniques (2025-06-27)
        • Enhanced Intrusion Detection in Cybersecurity Through Dimensionality Reduction and Explainable Artificial Intelligence (2025-09-30)
        • A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience (2025-07-15)
        • Leveraging explainable artificial intelligence with an ensemble of deep learning models for dementia prediction to enhance clinical decision support systems (2025-05-13)
        • Lumpy skin disease diagnosis in cattle: A deep learning approach optimized with RMSProp and MobileNetV2 (2024-08-05)
        • Deep Learning-Driven Anomaly Detection for IoMT-Based Smart Healthcare Systems (2024-01-01)
        • Stochastic Environmental Research and Risk Assessment with Machine Learning Classification and Accuracy Assessment of Coastal Wetlands (2026-03-21)
        • Eradication Rates of Helicobacter pylori Treatment Regimens and Predictors of Treatment Failure: A Multicenter Real-World Study in Saudi Arabia (2026-01-27)
        • Application of Fuzzy Logic in Computer Security and Forensics (2012-12-25)
        • Evolutionary Computation in Computer Security and Forensics: An Overview (2012-12-25)
        • AnomLocal: A Hybrid Local-Global Anomaly Detection Model for Network Security Using Federated Learning (2026-02-15)

        Teaching materials

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