Dr Ahmed Eltayeb Taha


Dr Ahmed Eltayeb Taha

Researcher

  • Office: 23-010-1
  • Phone: 966-13-860-8093
  • Email: ahmedtaha(at)kfupm.edu.sa
  • Google Scholar

Education

  • PhD, Universiti Teknologi Malaysia, Johor Bahru, Malaysia, 2022
  • MSc, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, 2013
  • BSc, University of Gezira, Wad Medani, Sudan, 2008

Teaching

  • CIE 301: Numerical Methods
  • CIE 305: Linear Control Systems

Research Interests

  • Control Systems,
  • Nonlinear Control Systems
  • Robotics, Unmanned Aerial Vehicle Systems

Selected Publications

  1. Eltayeb, Ahmed, Gamil Ahmed, Imil Hamda Imran, Nezar M. Alyazidi, and Ahmed Abubaker. "Comparative Analysis: Fractional PID vs. PID Controllers for Robotic Arm Using Genetic Algorithm Optimization." Automation 5, no. 3 (2024): 230-245.
  2. Gamil Ahmed, Ahmed Eltayeb, Nezar M. Alyazidi, Imil Hamda Imran, Tarek Sheltami, and Sami El-Ferik “Improved Particle Swarm Optimization for Fractional PID Control Design in Robotic Manipulator System: A Performance Analysis”, results in engineering, https://doi.org/10.1016/j.rineng.2024.103089.
  3. Mahmoud S. AbouOmar, Ahmed Eltayeb, Sami El Ferik “Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Newton-Raphson-Based Optimizer”, results in engineering, https://doi.org/10.1016/j.rineng.2024.103369.
  4. Imil Hamda Imran, Nezar M. Alyazidi, Ahmed Eltayeb., Gamil Ahmed. (2024). Robust Adaptive Fault-Tolerant Control of Quadrotor Unmanned Aerial Vehicles. Mathematics, 12(11), 1767.
  5. Nezar M. Alyazidi, Imil Hamda Imran, Gamil Ahmed, Ahmed Eltayeb., “Robust Control of UAVs Using Adaptive Sliding Mode and Disturbance Observers”, Cognitive Robotics (2nd round review).
  6. Artificial Neural Network-Based Adaptive Fractional Order (PID) Controller Design for Vertical Takeoff and Landing Model (under preparation).
  7. Ahtisham Urooj, Md Samiullah, Karim Asif Sattar, Ahmed Eltayeb, and Sami Elferik “A Literature Review of Solar Energy Systems in Unmanned Aerial Vehicles for Sustained Flight” (submitted IEEE ACCESS)
Dr. Ahmed Eltayeb Taha

Researcher