Postdoctoral Fellow at Harbin Institute of Technology Shenzhen | China
Dr. Ameen Ullah is a distinguished academic and researcher in the field of electrical engineering, specializing in control systems, robotics, renewable energy, and optimization techniques. With advanced expertise in sliding mode control, neural networks, and unmanned aerial vehicles, he has established himself as a versatile scholar whose contributions bridge both theoretical and applied research. His professional journey combines strong academic credentials with impactful teaching, research, and innovation. Dedicated to knowledge dissemination, he continuously strives to make meaningful contributions to science and technology at a global level.
Professional Profile
Scopus Profile | ORCID
Education
Dr. Ullah’s educational background reflects a consistent commitment to excellence and advancement in electrical engineering. He began his academic journey with a Bachelor of Science in Electrical Engineering from the University of Engineering and Technology, Peshawar, where he developed foundational expertise in machines, circuits, and power systems. He advanced to complete a Master of Science in Electrical Engineering with a specialization in Power Engineering from COMSATS University Islamabad. There, his research focused on power systems optimization and renewable integration, graduating with distinction. Currently, he is pursuing a Ph.D. in Optomechatronics Engineering at Shenzhen University, China, concentrating on control systems. His doctoral work emphasizes sliding mode strategies, robust adaptive controllers, and intelligent algorithms for renewable energy and robotics applications.
Experience
His professional journey spans academia and research, marked by dedication and achievement. He began his career as a Lecturer in Electrical Technology at the Government Polytechnic Institute, where he taught undergraduate courses and provided mentorship to aspiring engineers. Later, as a Research Assistant at COMSATS University, he contributed to the development of innovative control strategies and the preparation of research projects. His experience includes supervising undergraduate students, preparing grant proposals, and presenting research findings at conferences. Beyond teaching and mentoring, he has demonstrated leadership in academic administration, managing departmental responsibilities, and fostering collaborative projects that bridge classroom learning with real-world problem solving.
Research Focus
Dr. Ullah’s research focus lies at the intersection of control engineering, renewable energy, robotics, and artificial intelligence. He has contributed significantly to the development of robust sliding mode controllers, adaptive algorithms, and neuro-fuzzy estimation methods to enhance system performance in uncertain environments. His work on photovoltaic and wind energy systems addresses critical issues such as maximum power point tracking and dynamic energy optimization. Additionally, he has advanced control strategies for unmanned aerial vehicles and permanent magnet synchronous motor drives, reflecting his diverse expertise across domains. His research integrates advanced mathematics with practical applications, ensuring solutions that are innovative, reliable, and sustainable.
Awards & Honors
Recognition of Dr. Ullah’s contributions comes in the form of prestigious scholarships and honors. He was awarded the Doctoral Outstanding Innovative Talent Scholarship by Shenzhen University, acknowledging his pioneering research work. Additionally, he received the Guangdong Outstanding International Student Scholarship in consecutive years, reflecting his academic excellence and leadership as an international scholar. His professional standing is further reinforced by his membership in the Pakistan Engineering Council as a registered engineer, underscoring his adherence to professional and ethical standards within the engineering discipline.
Publication Top Notes
Title: Consensus based SoC trajectory tracking control design for economic-dispatched distributed battery energy storage system
Authors: S Ullah, L Khan, R Badar, A Ullah, FW Karam, ZA Khan, AU Rehman
Journal: Plos one 15 (5), e0232638
Title: Robust Speed Control of Permanent Magnet Synchronous Motor Drive System Using Sliding-Mode Disturbance Observer-Based Variable-Gain Fractional-Order Super-Twisting Sliding-Mode
Authors: A Ullah, J Pan, S Ullah, Z Zhang
Journal: Fractal and Fractional 8, 368
Title: Variable-gain robust exact differentiator-based neuro-adaptive control design for dynamic wind power optimization
Authors: H Alghamdi, S Ullah, A Ali, G Hafeez, L Guanghua, A Ullah, I Bouazzi
Journal: IEEE Access 12, 2186-2197
Title: Enhanced wind energy conversion system performance using fast smooth second-order sliding mode control with neuro-fuzzy estimation and variable-gain robust exact output
Authors: A Ullah, S Ullah, TU Rahman, I Sami, AU Rahman, B Alghamdi, J Pan
Journal: Applied Energy 377, 124364
Title: Terminal sliding mode based finite-time MPPT control for PMSG-WECS based standalone system
Authors: M Zafran, L Khan, Q Khan, Z Alam, MA Khan
Journal: 2020 3rd International Conference on Computing, Mathematics and Engineering
Title: Variable gain high order sliding mode control approaches for PMSG based variable speed wind energy conversion system
Authors: A Ullah, L Khan, Q Khan, S Ahmad
Journal: Turkish Journal of Electrical Engineering and Computer Sciences 28 (5), 2997
Title: A comprehensive study of nano/micro fillers on silicone rubber insulators: Electrical, mechanical, and thermal characterization
Authors: S Ahmad, R Ahmed, R Abd Rahman, A Ullah, A Jamal, R Akram
Journal: Results in Engineering 25, 103654
Title: Smooth super-twisting sliding mode control design with high order super-twisting observer for speed tracking control of permanent magnet synchronous motor drive system
Authors: A Ullah, S Ullah, Z Zhang, P Jianfei
Journal: ISA transactions
Title: Variable gain real-twisting sliding mode MPPT control for permanent magnet synchronous generator based wind energy conversion system
Authors: A Ullah, L Khan, Q Khan
Journal: 2020 3rd International Conference on Computing, Mathematics and Engineering
Title: Effect of Nano Filler Concentration on Leakage Current of Hybrid Silicone Rubber Composite Insulators
Authors: R Ahmed, R Abd Rahman, S Ahmad, A Ullah, R Ullah, NAM Jamail
Journal: 2022 IEEE International Conference on Power and Energy (PECon)
Title: MPPT for Photovoltaic System using non-linear Hybrid Robust Integral Backstepping Controller
Authors: K Ali, Q Khan, L Khan, UA Khan, A Ullah
Journal: 2020 3rd International Conference on Computing, Mathematics and Engineering
Title: A Robust Fractional-Order Sliding Mode Control with Nonsingular Terminal Dynamics for Maximum Power Point Tracking in Wind Turbine
Authors: AS Alsafran, S Ullah, A Ullah, G Hafeez, MZ Babar, B Alghamdi
Journal: IEEE Access
Title: Optimized Neuro-Adaptive Third-Order Sliding Mode Control with High-Gain Differentiator for Enhanced Photovoltaic System Performance: Simulation and Experimental Validation
Authors: A Ullah, S Ullah, U Hussan, B Alghamdi, J Pan
Journal: IEEE Journal of Emerging and Selected Topics in Power Electronics
Title: Adaptive exponential reaching laws and high-gain observers for enhanced PMSM sliding mode control systems
Authors: M Zafran, Z Javaid, A Ullah, S Ullah, M Rizwan, S Ahmad
Journal: IET Conference Proceedings CP917
Title: A Robust Fractional-Order Nonsingular Terminal Sliding Mode Control With Deep Learning-Based Lie Derivative Estimation for Maximum Power Point Tracking in Wind Turbine
Authors: AS Alsafran, S Ullah, A Ullah, G Hafeez, MZ Babar, B Alghamdi
Journal: IEEE Access 13, 127423-127435
Conclusion
Dr. Ameen Ullah represents the qualities of a visionary researcher who combines technical expertise, innovative thinking, and academic leadership. His career reflects a balance of teaching, research, and scholarly communication, all directed toward advancing control systems and renewable energy technologies. Through his dedication, he has made substantial contributions to sustainable energy solutions, artificial intelligence-driven optimization, and robotics. His achievements, reinforced by awards, publications, and international recognition, make him an outstanding candidate for prestigious research honors. As he continues to advance the frontiers of knowledge, his work will inspire future engineers and researchers while contributing to the global pursuit of sustainable and intelligent engineering solutions.