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كل ما تحتاجه من أستاذك… في مكان واحد

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Dr.Ahmed Mohamed Ali Abelrahman

PhD, Computer Science, 2016 Associate Professor College of Computer Engineering & Sciences
  • Kharj
  • 011-588-8326
  • a.abdalrahman@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • PhD in Computer Science, 2016

Research Interests

  • AI
  • Computer Networks
  • Computer Wireless Networks
  • Wireless Sensor Networks

Experience

  • 2016 - 2018 - Assistant Professor - Computer Science department, Future Academy
  • 2018 - 2025 - Assistant Professor - Computer Science department, College of Computer Science and Engineering, Prince Sattam Bin Abdulaziz University
  • 2025 - until now - Associate Professor - Computer Science department, College of Computer Science and Engineering, Prince Sattam Bin Abdulaziz University

Responsibilities

  • Coordinator of the Graduation Projects Committee – Computer Science Department (2024–2026)
  • Head of the Quality Assurance and Development Committee – Computer Science Department (2021)
  • Head of the Academic Advising Unit at the College (2019)
  • Coordinator of the Quality Assurance and Development Unit at the College – Computer Science Department (2019–2024)
  • Head of the Academic Advising Committee – Computer Science Department (2021)
  • Member of the College Graduation Projects Unit – Computer Science Department (2024–2026)
  • Head of the Quality Assurance and Development Committee – Computer Science Department (2021)
  • Head of the Academic Advising Unit at the College (2019)
  • Coordinator of the Quality Assurance and Development Unit at the College – Computer Science Department (2019–2024)
  • Head of the Academic Advising Committee – Computer Science Department (2021)
  • Member of the College Graduation Projects Unit – Computer Science Department (2024–2026)
  • Coordinator of the Graduation Projects Committee – Computer Science Department (2024–2026)
  • Member of the Quality Assurance and Development Committee at the College – Computer Science Department (2024–2026)

Publications

  • Enhancing Cardiovascular Disease Risk Prediction: A Comparative Analysis of Machine Learning Techniques, E Eldesouky, WH Elashmawi, AS Salama, A Ali, M Mahfouz, Journal of Computational and Cognitive Engineering 5 (2), 354-370, 2026.
  • Predicting trip duzation and distance in bike-sharing systems using dynamic time warping, A Ali, A Salah, M Bekhit, A Fathalla, Applied Artificial Intelligence 39 (1), 2474786, 2025.
  • MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-based Motion Capture Data, M Bekhit, A Salah, AS Alrawahi, T Attia, A Ali, E Eldesokey, A Fathalla, arXiv preprint arXiv:2507.10334, 2025.
  • Precision in insurance forecasting: enhancing potential with ensemble and combination models based on the adaptive neuro-fuzzy inference system in the Egyptian Insurance Industry, A Khalil, Z Liu, A Ali, Applied Artificial Intelligence 38 (1), 2348413, 9 2024.
  • The benefits of social insurance system prediction using a hybrid fuzzy time series method, AA Khalil, MA Mandour, A Ali, PeerJ Computer Science 10, e2500, 2024.
  • Machine learning based method for insurance fraud detection on class imbalance datasets with missing values, AA Khalil, Z Liu, A Fathalla, A Ali, A Salah, IEEE Access 12, 155451-155468, 2024.
  • Detecting image manipulation with ELA-CNN integration: a powerful framework for authenticity verification, AM Nagm, MM Moussa, R Shoitan, A Ali, M Mashhour, AS Salama, PeerJ Computer Science 10, e2205, 2024.
  • A modified manta ray foraging algorithm for edge server placement in mobile edge computing, WH El-Ashmawi, AF Ali, A Ali, International Journal of Information Technology & Decision Making, 2024.
  • A comprehensive review on brain–computer interface (BCI)-based machine and deep learning algorithms for stroke rehabilitation, WH Elashmawi, A Ayman, M Antoun, H Mohamed, SE Mohamed, H Amr, ..., Applied Sciences 14 (14), 6347, 2024.
  • Optimizing real-time video transmission for surgical tele-education through ERV algorithm, S Adhikari, A Alsadoon, M Bekhit, OD Jerew, M Siddiqi, A Ali, IEEE Access 12, 98707-98722, 2024.
  • Divide-and-train: A new approach to improve the predictive tasks of bike-sharing systems, A Ali, A Salah, M Bekhit, A Fathalla, AIMS Press, 2024.

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