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Dr.Shtwai Abdullah Faris Alsubai

Associate Professor College of Computer Engineering & Sciences
  • Kharj
  • 011-588- 8339
  • sa.alsubai@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • Doctor of Philosophy in Computer Science, Member of the Testing research group, the University of Sheffield, UK, 2018 Master of Science in Computer Science, California Lutheran University, USA, 2011 Bachelor of Science in Information Systems, King Saud University, Saudi Arabia, 2008

  • Doctor of Philosophy in Computer Science, Member of the Testing research group, the University of Sheffield, UK, 2018 Master of Science in Computer Science, California Lutheran University, USA, 2011 Bachelor of Science in Information Systems, King Saud University, Saudi Arabia, 2008

Research Interests

  • XML query processing, XML query optimization, machine learning and natural language processing.

Experience

  • 2019 - 2020 - Vic-Dean of Deanship of Information Technology and Distance Learning - ITDL
  • 2018 - 2019 - the Chairman of Computer Science department - CCES
  • 2019 - 2020 - Vic-Dean of Deanship of Information Technology and Distance Learning - ITDL
  • 2018 - 2019 - the Chairman of Computer Science department - CCES

Publications

  • [1] Shtwai Alsubai et al. “Artificial intelligence-inspired comprehensive framework for desertification prediction”. In: International Journal of Cognitive Computing in Engineering 6 (2025), pp. 462–476.
  • [2] Shtwai Alsubai et al. “Small-UAV GPS Spoofing Attack Detection and Multilabel Classification”. In: Security and Privacy 8.3 (2025), e70028.
  • [3] Shtwai Alsubai et al. “A blockchain-based hybrid encryption technique with anti- quantum signature for securing electronic health records”. In: Complex Intelligent Systems 10.5 (2024), pp. 6117–6141.
  • [5] Shtwai Alsubai et al. “Facial Emotion Recognition Using Deep Quantum and Ad- vanced Transfer Learning Mechanism”. In: Frontiers in Computational Neuroscience 18 (2024), p. 1435956.
  • [6] Shtwai Alsubai. “Transfer learning based approach for lung and colon cancer de- tection using local binary pattern features and explainable artificial intelligence (AI) techniques”. In: PeerJ Computer Science 10 (2024), e1996.
  • [9] Shtwai Alsubai et al. “Emotion Detection Using Deep Normalized Attention- Based Neural Network and Modified-Random Forest”. In: Sensors 23.1 (2023), p. 225.
  • [10] Shtwai Alsubai et al. “Ensemble Deep Learning for Brain Tumor Detection”. In: Frontiers in Computational Neuroscience 115 (2023).
  • [11] Shtwai Alsubai et al. “Genetic hyperparameter optimization with Modified Scalable- Neighbourhood Component Analysis for breast cancer prognostication”. In: Neural Networks 162 (2023), pp. 240–257.
  • [12] Shtwai Alsubai et al. “Heart Failure Detection Using Instance Quantum Cir- cuit Approach and Traditional Predictive Analysis”. In: Mathematics 11.6 (2023), p. 1467.
  • [13] Shtwai Alsubai et al. “Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification”. In: Mathematics 11.9 (2023), p. 2008.
  • [14] Shtwai Alsubai and S. North. “Solving the Intractable Problem: Optimal Perfor- mance for Worst Case Scenarios in XML Twig Pattern Matching”. In: IEEE Access 8 (2020), pp. 192569–192586.

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