Assistant Professor at Faculty of Electronic Engineering Menouf – Menoufia University, Egypt
Dr. Osama Elshazly is an accomplished Assistant Professor with a robust background in Mechatronics and Robotics Engineering. Based in Cairo, Egypt, Dr. Elshazly has dedicated his career to advancing control systems, artificial intelligence in engineering, and automation technology. His innovative approach integrates research, teaching, and practical applications, contributing to various significant projects in the field. He has also demonstrated leadership in mentoring students for international robotics competitions, emphasizing the real-world application of theoretical knowledge. Dr. Elshazly’s commitment to academic excellence and research innovation positions him as a leader in his field.
Profile
Google Scholar
Education
Dr. Elshazly completed his Ph.D. in Mechatronics and Robotics Engineering at the Egypt-Japan University of Science and Technology (E-JUST) in 2015. His research during this time focused on cutting-edge control techniques and artificial intelligence applications in dynamic systems. Before pursuing his doctoral studies, he earned an MSc in Automatic Control Engineering from Menoufia University in 2012, where he developed a strong foundation in control theory and electronic systems. He also holds a BSc in Electronic Engineering from Menoufia University, awarded in 2004, where he laid the groundwork for his future endeavors in Mechatronics and Robotics.
Experience
Dr. Elshazly has extensive teaching and research experience, having served as an Assistant Professor in several prestigious institutions. His career began at Menoufia University, where he worked as an Assistant Lecturer, later advancing to Assistant Professor from 2015 to 2020. During this time, he was actively involved in teaching courses related to Mechatronics, Robotics, and Control Systems, as well as managing quality assurance processes. He continued his academic career at the High Institute of Engineering and Technology, taking on a full-time Assistant Professor role while also engaging with other institutions such as Modern University for Technology and Information, and Université Française d’Egypte, where he taught part-time. His experience extends internationally, having been a Research Fellow at Catania University in Italy, where he contributed to collaborative projects in dynamic systems control.
Research Interests
Dr. Elshazly’s research focuses on the intersection of Mechatronics, Robotics, and Automatic Control Engineering, with specific interests in dynamical systems, robotic manipulators, and AI-based control techniques. He is particularly passionate about advancing control strategies for complex systems, such as iterative learning control and adaptive control methodologies. His work in artificial intelligence control, fractional order control, and new AI model architectures has yielded significant contributions to the development of autonomous systems. His ongoing research explores the integration of AI algorithms in real-time control and optimization, aiming to solve complex engineering problems with innovative solutions.
Awards
Dr. Elshazly has received recognition for his contributions to the field of engineering, including grants and funds that support his research initiatives. Notably, he was involved in the Mobility Grant Project between Catania University and Egypt-Japan University, funded by the Science and Technological Development Fund (STDF) of Egypt, which provided substantial resources for collaborative research. He has also been acknowledged for his role as a supervisor for students in international competitions, such as the International Autonomous Robot Racing Challenge and the IDC Robocon, which further showcases his ability to guide young talent towards technical excellence.
Publications
Omar Shaheen, Osama Elshazly, Hossam Khalil. “Quantum Neural Networks Based Lyapunov Stability and Adaptive Learning Rates for Identification of Nonlinear Systems.” Ain Shams Engineering Journal, 2024. Link.
Omar Shaheen, Osama Elshazly, Abdullah Baihan, Walid El-Shafai, Hossam Khalil. “Advancing Nonlinear Dynamics Identification with Recurrent Quantum Neural Networks: Emphasizing Lyapunov Stability and Adaptive Learning in System Analysis.” Alexandria Engineering Journal, 2024. Link.
Hossam Khalil, Osama Elshazly, Omar Shaheen. “Optimal Fuzzy Pre-compensated TID Controller for Nonlinear Dynamical Systems.” Menoufia Journal of Electronic Engineering Research (MJEER), 2024.
Mostafa E., Osama Elshazly, El-Bardini M. et al. “Embedded Adaptive Fractional-Order Sliding Mode Control Based on TSK Fuzzy System for Nonlinear Fractional-Order Systems.” Soft Computing, 2023. Link.
E. Mostafa, A. M. El-Nagar, Osama Elshazly, M. El-Bardini. “Fractional Order Sliding Mode Controller for Coupled Tank System.” Menoufia Journal of Electronic Engineering Research (MJEER), 2021.
E. Mostafa, A. M. El-Nagar, Osama Elshazly, M. El-Bardini. “Adaptive Fractional Order Sliding Mode Control for a Nonlinear System.” 2021 International Conference on Electronic Engineering (ICEEM), 2021. Link.
Conclusion
Dr. Osama Elshazly has demonstrated a commitment to advancing engineering research, particularly in Mechatronics and Control Engineering. His innovative research contributions, combined with a passion for teaching and mentoring, make him a strong candidate for the Best Researcher Award. His career reflects a dedication to solving complex engineering challenges through interdisciplinary approaches, showcasing his potential to continue making significant impacts in his field.