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Faculty members

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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.
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Rafaa Saleh A Aljurbua

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Personal data

  • +966163800050- 11280
  • R.Aljurbua@qu.edu.sa
  • Desktop watches
  • Sunday: 11:00 AM - 12:30 PM
  • Wednesday: 11:00 AM - 12:30 PM
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Scientific qualifications

  • PhD
  • MSc
  • MSc

Research interests

    Published research

    • Ai-driven sentiment trend analysis: Enhancing topic modeling interpretation with chatgpt (2024-01-01)
    • Early prediction of power outage duration through hierarchical spatiotemporal multiplex networks (2024-01-01)
    • Social Media Sensors for Weather-Caused Outage Prediction Based on Spatio-Temporal Multiplex Network Representation (2023-01-01)
    • The company we keep. Using hemodialysis social network data to classify patients' kidney transplant attitudes with machine learning algorithms (2022-01-01)
    • TriLex: A fusion approach for unsupervised sentiment analysis of short texts (2025-01-01)
    • Leveraging multi-modal data for early prediction of severity in forced transmission outages with hierarchical spatiotemporal multiplex networks (2025-01-01)
    • Spatiotemporal Multiplex Network Model for Predicting Forced Outage Severity in Distribution Grids (2025-01-01)
    • Node2vecfuseclassifier: bridging perspectives in modeling transplantation attitudes among dialysis patients (2024-01-01)
    • Cross-platform spatiotemporal sentiment trends analysis of COVID-19 vaccine discourse (2025-01-01)
    • Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis (2025-01-01)
    • ClusterLDA: Clustering-Based Topic Extraction for Online News (2025-01-01)
    • Graph-Based Approach: Bridging Insights From Structured and Unstructured Data (2025-01-01)
    • Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis (2025-01-01)
    • Network Science and Hemodialysis Patients' Kidney Transplant Attitudes: PO2138 (2021-01-01)

    Teaching materials

    • Special Topics in Computer Science (1)
    • Software Engineering

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