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  • Ayman A. Aly is the director of E-Learning and distance education unit at college of engineering, Taif university, Saudi Arabia which (accredited by USA ABET board).  Prior to joining Taif University, He is one of the team who established the “Mechatronics and Robotics Engineering” educational program in faculty of engineering, Assiut University which is the first nationally accredited faculty of engineering in Egypt. 

  • Ayman A. Aly was the academic supervisor and keynote speaker of the 6th international Arab conference for robotics and artificial intelligence engineering, 2019, Saudi Arabia.

  • Ayman A. Aly was selected in the top 2% list of the most cited scientists in the world in scientific publishing according to the American Stanford University classification for the year 2023, which selects the most cited researchers every year for scientific research according to precise scientific standards.

  • Ayman A. Aly was nominated and selected for inclusion in Marquis Who's Who in the World, 30th Pearl Anniversary Edition, 2013.  He is the author of more than 200 scientific papers and 7 textbooks in Refereed Journals and International Conferences. He supervised and examined some of MSc. and PhD. Degree Students.  His main areas of research are intelligent control of robotics systems, internet of things, artificial intelligence applications, modeling and control of renewable energy systems and energy saving.

PROF. Ayman A. Aly Al-Naggar

UPCOMING EVENTS

International Conference in Engineering Education and Technology ,Taif University, Taif, Saudi Arabia, 2024.

MY LATEST RESEARCH

The Stewart platform is one example of a parallel connections robot manipulator with force to weight ratio and positioning accuracy far exceeding that of a conventional serial-link arm.  In this paper the implementation of an adaptive control scheme based on fuzzy logic theory is used to control the motion of a Stewart platform manipulator.  It is basically a closed-link type robot manipulator having 6 degree of freedom.  Due to the fact that the closed-form solution of forward kinematics is hard to obtain for Stewart platform structure, six individual controllers are designed in the actuators coordinates.  By using the inverse kinematics analysis, a model reference adaptive control scheme is utilized.   An experimental study is conducted to evaluate the performance of the proposed control scheme implemented to control the manipulator to track a defined path.  Experimental results show that the proposed control policy provides superior tracking capability as compared to the fixed-gain controllers.

Hardware-In-the-Loop (HIL) of simulation policy is used as a rapid and economical tool for developing automotive systems effectively and for dangerous situations tests such as extreme road conditions or high travelling speeds. A method for building a HIL of simulation a hydraulic Antilock Braking System (ABS) based on MATLAB/Simulink is presented in this paper. The system is implemented for research purposes as well as for the application in educational process. It can help the user heightening the efficiency when developing the electronic device. Also, the system can be used as teaching demo software. Experiment tests of HIL scheme were carried to ensure the feasibility and effectiveness of the system.

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