Dr. Amir Veisi | Architectonics | Best Researcher Award
PhD student at Bu-Ali sina university, Iran.
Dr. Amir Veisi, a PhD student in Control Engineering at Bu-Ali Sina University, is an emerging researcher in the fields of renewable energy, artificial intelligence, and control systems. His research focuses on fractional order control, data-driven control, and machine learning, with significant contributions to the management of renewable energy systems and the modeling of complex systems like COVID-19. Despite being early in his academic career, Dr. Veisi has demonstrated exceptional research capabilities, as evidenced by his numerous publications, conference presentations, and academic honors.
Dr. Veisi is currently pursuing his PhD in Control Engineering at Bu-Ali Sina University, where he is working on the design of nonlinear fractional order data-driven controllers for nonlinear systems under the supervision of Dr. Hadi Delavari. He earned his Master’s degree in Control Electrical Engineering from Hamedan University of Technology, where his thesis focused on fractional-order sliding mode control for maximum power point tracking in wind turbines. He also holds a Bachelor’s degree in Electronic Engineering from Islamic Azad University, Zahedan.
Dr. Veisi has served as a teaching assistant at Hamedan University of Technology, where he assisted in courses on linear control systems. His role as a peer reviewer for several international journals further demonstrates his growing influence in the academic community. Dr. Veisi’s technical skills are comprehensive, with proficiency in programming languages such as MATLAB, C++, and Python, and expertise in control systems, machine learning, and biomedical engineering.
Dr. Veisi’s research interests span a wide range of areas, including renewable energy, artificial intelligence, reinforcement learning, fractional order nonlinear control, and fault diagnosis. His work primarily focuses on the application of these technologies to the control and optimization of renewable energy systems, such as wind turbines and photovoltaic systems. He has also contributed to the development of control strategies for managing the spread of COVID-19 using fractional-order control methods.
Conclusion
Dr. Amir Veisi’s impressive research output, combined with his expertise in control engineering, renewable energy, and artificial intelligence, positions him as a strong candidate for the “Best Researcher Award.” His innovative approach to solving complex problems, particularly in the areas of renewable energy and health management, reflects the award’s emphasis on impactful and forward-looking research. As he continues to advance his career, Dr. Veisi is poised to make significant contributions to the field of control engineering and beyond.
Publications Top Notes
Robust control of a permanent magnet synchronous generators based wind energy conversion
Authors: H. Delavari, A. Veisi
Citations: 11
Year: 2021
Adaptive fractional order control of photovoltaic power generation system with disturbance observer
Authors: A. Veisi, H. Delavari
Citations: 9
Year: 2021
A new robust nonlinear controller for fractional model of wind turbine based DFIG with a novel disturbance observer
Authors: H. Delavari, A. Veisi
Citations: 7
Year: 2024
Fractional‐order backstepping strategy for fractional‐order model of COVID‐19 outbreak
Authors: A. Veisi, H. Delavari
Citations: 7
Year: 2022
Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer
Authors: A. Veisi, H. Delavari
Citations: 6
Year: 2024
Maximum power point tracking in a photovoltaic system by optimized fractional nonlinear controller
Authors: A. Veisi, H. Delavari, F. Shanaghi
Citations: 4
Year: 2023
A novel fractional-order feedback management of COVID-19 prevalence
Authors: A. Veisi, H. Delavari
Citations: 4
Year: 2022
Power Maximization of Wind Turbine Based on DFIG using Fractional Order Variable Structure Controller
Authors: H. Delavari, A. Veisi
Citations: 4
Year: 2021
Fuzzy fractional-order sliding mode control of COVID-19 virus variants
Authors: H. Delavari, A. Veisi
Citations: 3
Year: 2023
Analysis of fractional order SEIR model for Covid 19 and investigation of its spread management with a novel adaptive fractional order nonlinear controller
Authors: A. Veisi, H. Delavari
Citations: 3
Year: 2021
Adaptive fractional backstepping intelligent controller for maximum power extraction of a wind turbine system
Authors: A. Veisi, H. Delavari
Citations: 2
Year: 2023