Ibrahim Al-Shourbaji

About

Ibrahim AlShourbaji received the Ph.D. degree from the University of Hertfordshire, U.K. He holds an associate position with the Department of Electrical and Electronics Engineering, Jazan University, Saudi Arabia. He has published several journal papers, conferences, and books. His main research interests include computational intelligence, metaheuristic algorithms, signal processing, deep learning, robotics, and optimization. He serves as a reviewer for many prestigious journals in Elsevier, Springer, and IEEE.

Publications

• Kachare, P., Puri, D., Sangle, S. B., Al-Shourbaji, I., Jabbari, A., Kirner, R., et al.
  LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection.
  Physical and Engineering Sciences in Medicine (2024). https://doi.org/10.1007/s13246-024-01425-w
• Puri, D. V., Kachare, P. H., Sangle, S. B., Kirner, R., Jabbari, A., Al-Shourbaji, I., et al.
  LEADNet: Detection of Alzheimer’s Disease using Spatiotemporal EEG Analysis and Low-Complexity CNN.
  IEEE Access (2024). https://doi.org/10.1109/ACCESS.2024.3435768
• AlShourbaji, I., Helian, N., Sun, Y., Hussien, A. G., Abualigah, L., & Elnaim, B.
  An efficient churn prediction model using gradient boosting machine and metaheuristic optimization.
  Scientific Reports, 13(1), 14441 (2023). https://doi.org/10.1038/s41598-023-41093-6
• Al-Shourbaji, I., & Duraibi, S.
  IWQP4Net: An Efficient Convolution Neural Network for Irrigation Water Quality Prediction.
  Water, 15(9), 1657 (2023). https://doi.org/10.3390/w15091657
• Al-Shourbaji, I., Kachare, P. H., Alshathri, S., Duraibi, S., Elnaim, B., & Abd Elaziz, M.
  An efficient parallel reptile search algorithm and snake optimizer approach for feature selection.
  Mathematics, 10(13), 2351 (2022). https://doi.org/10.3390/math10132351
• Al-Shourbaji, I., Helian, N., Sun, Y., Alshathri, S., & Abd Elaziz, M.
  Boosting ant colony optimization with reptile search algorithm for churn prediction.
  Mathematics, 10(7), 1031 (2022). https://doi.org/10.3390/math10071031
• Al-Shourbaji, I., Kachare, P., Fadlelseed, S., Jabbari, A., Hussien, A. G., Al-Saqqar, F., et al.
  Artificial Ecosystem-Based Optimization with Dwarf Mongoose Optimization for Feature Selection and Global Optimization Problems.
  International Journal of Computational Intelligence Systems, 16(1), 1-24 (2023). https://doi.org/10.1007/s44196-023-00279-6
• Al-Shourbaji, I., Kachare, P. H., Abualigah, L., Abdelhag, M. E., Elnaim, B., Anter, A. M., & Gandomi, A. H.
  A deep batch normalized convolution approach for improving COVID-19 detection from chest X-ray images.
  Pathogens, 12(1), 17 (2022). https://doi.org/10.3390/pathogens12010017
• AlShourbaji, I., Kachare, P., Zogaan, W., Muhammad, L. J., & Abualigah, L.
  Learning features using an optimized artificial neural network for breast cancer diagnosis.
  SN Computer Science, 3(3), 229 (2022). https://doi.org/10.1007/s42979-022-01129-6