Dr. Ameen Ullah, Shenzhen University, China
Ameen Ullah is an accomplished electrical engineer from Peshawar, Pakistan, specializing in control systems and renewable energy. He earned his Master of Science in Electrical Engineering from COMSATS University Islamabad, where he focused on developing sensorless adaptive higher-order sliding mode control techniques for permanent magnet synchronous generator (PMSG) based standalone wind energy conversion systems. His thesis highlighted the importance of maximizing power extraction from variable wind speeds, showcasing his expertise in robust and intelligent control paradigms. Ameen holds a Bachelor of Science in Electrical Engineering from the University of Engineering and Technology, Peshawar, where he developed a directional sound system capable of emitting sound in a narrow beam. He has authored several publications in reputable journals, including Fractal and Fractional and Applied Energy, contributing to advancements in motor drive control systems and wind energy performance. With a solid foundation in MATLAB/SIMULINK modeling and a commitment to innovative solutions in energy systems, Ameen continues to push the boundaries of research in electrical engineering.
Professional Profile:
SCOPUS
Suitability of Ameen Ullah for the Best Researcher Award
Candidate Overview: Ameen Ullah is a promising researcher in the field of Electrical Engineering, specializing in renewable energy systems and control techniques. His strong academic background, innovative research contributions, and active involvement in cutting-edge projects position him as a highly suitable candidate for the Best Researcher Award.
Education 🎓
- Master of Science in Electrical Engineering
COMSATS University Islamabad, Abbottabad Campus, Pakistan
06/03/2017 – 23/07/2019
CGPA: 3.63/4.0
- Thesis: Sensorless Adaptive Higher Order Sliding Mode MPPT Control Techniques for PMSG based Standalone Wind Energy Conversion System.
- Bachelor of Science in Electrical Engineering
University of Engineering and Technology, Peshawar, Pakistan
24/09/2012 – 15/06/2016
CGPA: 2.95/4.0
- Thesis: Sonic Beam-Directional Sound System.
Work Experience 💼
- Current Position: (Not specified in CV, consider adding relevant position)
- Previous Positions:
- Researcher/Engineer (Details needed)
Achievements 🌟
- Research Excellence: Contributed to advancements in wind energy conversion systems and motor control techniques.
- Innovative Projects: Developed a directional sound system focused on improving sound delivery accuracy.
Publication Top Notes:
A comprehensive study of nano/micro fillers on silicone rubber insulators: Electrical, mechanical, and thermal characterization
Enhanced wind energy conversion system performance using fast smooth second-order sliding mode control with neuro-fuzzy estimation and variable-gain robust exact output differentiator
Robust Speed Control of Permanent Magnet Synchronous Motor Drive System Using Sliding-Mode Disturbance Observer-Based Variable-Gain Fractional-Order Super-Twisting Sliding-Mode Control
Variable-Gain Robust Exact Differentiator-Based Neuro-Adaptive Control Design for Dynamic Wind Power Optimization