Nihal Abuzinadah

@kau.edu.sa

Faculty of Computing and Information Technology
King Abdulaziz University

EDUCATION

PhD, AI, Mixed and Augmented Reality in Education Technology, University of Surrey, UK.

RESEARCH INTERESTS

Human Computer interaction, Educational Technology, Visualization, Artificial Intelligence, Natural Language Processing, Machine Learning, Augmented Reality, Mixed Reality, Cyber Security.
376

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • ProstAI-Net: A Federated Privacy-Preserving Deep Learning Framework for Sustainable Prostate Cancer Image Classification in Digital Pathology
    M Arshad, C Wang, R Ghodhbani, J Ali Shaikh, N Abuzinadah, ...
    International Journal of Computational Intelligence Systems , 2026
    2026
  • DEFT-Net: Explainable Deepfake Text Detection for Combating Information Disorder in the Age of Generative AI
    S Sadiq, S Ullah, N Abuzinadah, R Alharthi, B Alabdullah, M Umer, ...
    International Journal of Computational Intelligence Systems 19 (1), 86 , 2026
    2026
  • Explainable Segmentation-Guided Mamba-Transformer Framework for Automated Cardiovascular Disease Detection
    G Atteia, A Altamimi, N Abuzinadah, K Alnowaiser, M Umer, Y Nam, ...
    Computer Modeling in Engineering & Sciences 147 (1) , 2026
    2026
  • Deepfake detection using optimized VGG16-based framework enhanced with LIME for secure digital content
    A Aldrees, N Abuzinadah, M Umer, DA AlHammadi, S Alsubai, R Alharthi
    Image and Vision Computing, 105696 , 2025
    2025
    Citations: 3
  • The diagnostic performance of large language models and oral medicine consultants for identifying oral lesions in text-based clinical scenarios: prospective comparative study
    SAF Ali, H AlDehlawi, A Jazzar, H Ashi, NE Abuzinadah, M AlOtaibi, ...
    JMIR AI 4 (1), e70566 , 2025
    2025
    Citations: 11
  • Transformer-based student engagement recognition using few-shot learning
    W Alarefah, SK Jarraya, N Abuzinadah
    Computers 14 (3), 109 , 2025
    2025
    Citations: 8
  • Improving traffic accident severity prediction using convoluted features and decision-level fusion of models
    N Abuzinadah, T Aljrees, X Chen, M Umer, O Ibrahim Aboulola, S Tahir, ...
    Transportation Research Record 2678 (8), 731-744 , 2024
    2024
    Citations: 11
  • Enhancing Pilgrim Safety During Hajj: A Smart Healthcare Solution with MYPARAMEDIC App and Vital Sign Monitoring Bracelet
    NE Abuzinadah
    Science and Information Conference, 13-34 , 2024
    2024
    Citations: 1
  • Breast cancer detection employing stacked ensemble model with convolutional features
    H Karamti, R Alharthi, M Umer, H Shaiba, A Ishaq, N Abuzinadah, ...
    Cancer Biomarkers 40 (2), 155-170 , 2024
    2024
    Citations: 8
  • Improved prediction of ovarian cancer using ensemble classifier and shaply explainable AI
    N Abuzinadah, S Kumar Posa, AA Alarfaj, EA Alabdulqader, M Umer, ...
    Cancers 15 (24), 5793 , 2023
    2023
    Citations: 33
  • Role of convolutional features and machine learning for predicting student academic performance from MOODLE data
    N Abuzinadah, M Umer, A Ishaq, A Al Hejaili, S Alsubai, AA Eshmawi, ...
    Plos one 18 (11), e0293061 , 2023
    2023
    Citations: 40
  • IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic
    NA Almujally, T Aljrees, M Umer, O Saidani, D Hanif, N Abuzinadah, ...
    PeerJ Computer Science 9, e1493 , 2023
    2023
    Citations: 4
  • A novel approach for explicit song lyrics detection using machine and deep ensemble learning models
    X Chen, T Aljrees, M Umer, H Karamti, S Tahir, N Abuzinadah, ...
    PeerJ Computer Science 9, e1469 , 2023
    2023
    Citations: 6
  • Fake news stance detection using selective features and FakeNET
    T Aljrees, X Cheng, MM Ahmed, M Umer, R Majeed, K Alnowaiser, ...
    PloS one 18 (7), e0287298 , 2023
    2023
    Citations: 17
  • Monitoring acute heart failure patients using internet-of-things-based smart monitoring system
    NA Almujally, T Aljrees, O Saidani, M Umer, ZB Faheem, N Abuzinadah, ...
    Sensors 23 (10), 4580 , 2023
    2023
    Citations: 47
  • Combining CNN features with voting classifiers for optimizing performance of brain tumor classification
    N Alturki, M Umer, A Ishaq, N Abuzinadah, K Alnowaiser, A Mohamed, ...
    Cancers 15 (6), 1767 , 2023
    2023
    Citations: 47
  • Improving sentiment prediction of textual tweets using feature fusion and deep machine ensemble model
    HA Madni, M Umer, N Abuzinadah, YC Hu, O Saidani, S Alsubai, ...
    Electronics 12 (6), 1302 , 2023
    2023
    Citations: 21
  • Deep analysis of student body activities to detect engagement state in E-learning sessions
    SG Khenkar, SK Jarraya, A Allinjawi, S Alkhuraiji, N Abuzinadah, ...
    Applied Sciences 13 (4), 2591 , 2023
    2023
    Citations: 15
  • Water-quality prediction based on H2O AutoML and explainable AI techniques. Water, 15, 3, 475
    HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani, S Alsubai, ...
    2023
    Citations: 5
  • Improved Prediction of Ovarian Cancer Using Ensemble Classifier and Shaply Explainable AI. Cancers 2023, 15, 5793
    N Abuzinadah, S Kumar Posa, AA Alarfaj, EA Alabdulqader, M Umer, ...
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Water-quality prediction based on H2O AutoML and explainable AI techniques
    HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani, S Alsubai, ...
    Water 15 (3), 475 , 2023
    2023
    Citations: 55
  • Monitoring acute heart failure patients using internet-of-things-based smart monitoring system
    NA Almujally, T Aljrees, O Saidani, M Umer, ZB Faheem, N Abuzinadah, ...
    Sensors 23 (10), 4580 , 2023
    2023
    Citations: 47
  • Combining CNN features with voting classifiers for optimizing performance of brain tumor classification
    N Alturki, M Umer, A Ishaq, N Abuzinadah, K Alnowaiser, A Mohamed, ...
    Cancers 15 (6), 1767 , 2023
    2023
    Citations: 47
  • Role of convolutional features and machine learning for predicting student academic performance from MOODLE data
    N Abuzinadah, M Umer, A Ishaq, A Al Hejaili, S Alsubai, AA Eshmawi, ...
    Plos one 18 (11), e0293061 , 2023
    2023
    Citations: 40
  • Improved prediction of ovarian cancer using ensemble classifier and shaply explainable AI
    N Abuzinadah, S Kumar Posa, AA Alarfaj, EA Alabdulqader, M Umer, ...
    Cancers 15 (24), 5793 , 2023
    2023
    Citations: 33
  • Towards empowering hearing impaired students' skills in computing and technology
    NE Abuzinadah, AA Malibari, P Krause
    International Journal of Advanced Computer Science and Applications 8 (1) , 2017
    2017
    Citations: 27
  • Improving sentiment prediction of textual tweets using feature fusion and deep machine ensemble model
    HA Madni, M Umer, N Abuzinadah, YC Hu, O Saidani, S Alsubai, ...
    Electronics 12 (6), 1302 , 2023
    2023
    Citations: 21
  • Fake news stance detection using selective features and FakeNET
    T Aljrees, X Cheng, MM Ahmed, M Umer, R Majeed, K Alnowaiser, ...
    PloS one 18 (7), e0287298 , 2023
    2023
    Citations: 17
  • Deep analysis of student body activities to detect engagement state in E-learning sessions
    SG Khenkar, SK Jarraya, A Allinjawi, S Alkhuraiji, N Abuzinadah, ...
    Applied Sciences 13 (4), 2591 , 2023
    2023
    Citations: 15
  • The diagnostic performance of large language models and oral medicine consultants for identifying oral lesions in text-based clinical scenarios: prospective comparative study
    SAF Ali, H AlDehlawi, A Jazzar, H Ashi, NE Abuzinadah, M AlOtaibi, ...
    JMIR AI 4 (1), e70566 , 2025
    2025
    Citations: 11
  • Improving traffic accident severity prediction using convoluted features and decision-level fusion of models
    N Abuzinadah, T Aljrees, X Chen, M Umer, O Ibrahim Aboulola, S Tahir, ...
    Transportation Research Record 2678 (8), 731-744 , 2024
    2024
    Citations: 11
  • An avatar-based system for Arabic sign language to enhance hard-of-hearing and deaf students' performance in a fundamentals of computer programming course.
    NE Abuzinadah
    University of Surrey , 2020
    2020
    Citations: 10
  • Transformer-based student engagement recognition using few-shot learning
    W Alarefah, SK Jarraya, N Abuzinadah
    Computers 14 (3), 109 , 2025
    2025
    Citations: 8
  • Breast cancer detection employing stacked ensemble model with convolutional features
    H Karamti, R Alharthi, M Umer, H Shaiba, A Ishaq, N Abuzinadah, ...
    Cancer Biomarkers 40 (2), 155-170 , 2024
    2024
    Citations: 8
  • A novel approach for explicit song lyrics detection using machine and deep ensemble learning models
    X Chen, T Aljrees, M Umer, H Karamti, S Tahir, N Abuzinadah, ...
    PeerJ Computer Science 9, e1469 , 2023
    2023
    Citations: 6
  • Water-quality prediction based on H2O AutoML and explainable AI techniques. Water, 15, 3, 475
    HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani, S Alsubai, ...
    2023
    Citations: 5
  • IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic
    NA Almujally, T Aljrees, M Umer, O Saidani, D Hanif, N Abuzinadah, ...
    PeerJ Computer Science 9, e1493 , 2023
    2023
    Citations: 4
  • Development of an intelligent arabic text translation model for deaf students using state of the art information technology
    HM Al-Barhamtoshy, NE Abuzinadah, AA Allinjawi
    Bioscience Biotechnology Research Communications 12, 338-345 , 2019
    2019
    Citations: 4
  • Deepfake detection using optimized VGG16-based framework enhanced with LIME for secure digital content
    A Aldrees, N Abuzinadah, M Umer, DA AlHammadi, S Alsubai, R Alharthi
    Image and Vision Computing, 105696 , 2025
    2025
    Citations: 3
  • Water-Quality Prediction Based on H2O AutoML and Explainable AI Techniques. Water 2023, 15, 475
    HA Madni, M Umer, A Ishaq, N Abuzinadah, O Saidani, S Alsubai, ...
    2023
    Citations: 2