Prof. El Majdoub Khalid | Automatic Control | Best Researcher Award
Professor at National School of Electricity and Mechanics (ENSEM), Morocco
Prof. Khalid EL MAJDOUB is a distinguished academic in the field of electrical engineering and automatic control. With an extensive career spanning research, teaching, and mentorship, he has made significant contributions to power electronics, nonlinear control, and renewable energy systems. Currently serving as a professor at the National School of Electricity and Mechanics (ENSEM), Casablanca, he is committed to advancing knowledge in electrical engineering through both theoretical and applied research. His work focuses on developing cutting-edge control systems, integrating artificial intelligence with automation, and fostering innovation in energy management and sustainability.
Proflie
Education
Prof. Khalid EL MAJDOUB holds a Ph.D. in Applied Sciences from the Mohammedia School of Engineering (EMI), with a specialization in automatic control and electrical engineering. His doctoral research revolved around modeling and controlling vehicle chassis dynamics, particularly in relation to nonlinear systems. Additionally, he has obtained an Habilitation to Supervise Research (HDR) from Mohammedia, enabling him to guide advanced research initiatives. His academic journey includes a postgraduate diploma (DESA) in electronics and computer science, an engineering diploma from ENSET Rabat, and an aggregation in electrical engineering. These qualifications have laid the foundation for his expertise in automation, power systems, and control technologies.
Professional Experience
Prof. Khalid EL MAJDOUB has accumulated decades of experience in academia, having served in various prestigious institutions. Since 2023, he has been a professor at ENSEM, Casablanca, teaching courses such as electrothermal energy, insulation coordination, and electrical networks. Before this role, he was a professor at the Mohammedia Faculty of Science and Technology (FSTM) from 2016 to 2023, where he taught industrial automation, electrotechnics, and computer architecture. His earlier career includes teaching at BTS Casablanca, focusing on industrial automation, power electronics, and signal processing. His extensive experience has enabled him to mentor students and develop innovative curricula to bridge the gap between theory and industrial application.
Research Interests
Prof. Khalid EL MAJDOUB’s research interests span several domains of electrical engineering, including nonlinear control, power electronics, and renewable energy. He has been actively involved in modeling and control of electric vehicles, in-wheel motors, and magnetorheological dampers. His work also extends to adaptive and intelligent control techniques such as fuzzy logic and neural networks. Additionally, he explores automation for industrial processes, IoT integration in electrical engineering, and energy management for smart grids. Through his research, he aims to develop efficient and sustainable energy systems while leveraging cutting-edge control methodologies.
Awards and Recognitions
Prof. Khalid EL MAJDOUB has been recognized for his outstanding contributions to research and teaching in electrical engineering. His work has been acknowledged in various international conferences and journals, earning accolades for his innovations in adaptive control and power system modeling. His contributions to nonlinear control strategies and renewable energy applications have positioned him as a leading figure in the field. Furthermore, his mentorship and academic leadership have played a crucial role in shaping future engineers and researchers.
Publications
Ammari O., Giri F., Krstic M., Benabdelhadi A., Chaoui F.Z., El Majdoub K. (2024). “Adaptive observer design for heat PDEs with sensor delay and parameter uncertainties.” IEEE Transactions on Automatic Control. (Accepted)
Cited by: Several articles in nonlinear control and system observation.
Ammari O., El Majdoub K., Giri F., BAZ R. (2024). “Modeling and control design for half electric vehicle with wheel BLDC actuator and Pacejka’s tire.” Computers and Electrical Engineering, Elsevier, Volume 116.
Cited by: Studies on electric vehicle dynamics and power electronics.
BAZ R., El Majdoub K., Giri F., Ammari O. (2024). “Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle.” Indonesian Journal of Electrical Engineering and Computer Science. (Accepted)
Cited by: Works on adaptive control in transportation systems.
El Majdoub K., Giri F., Chaoui F.Z. (2021). “Adaptive Backstepping Control for Semi-Active Suspension of Half-Vehicle with Bouc-Wen Magnetorheological Damper Model.” IEEE/CAA Journal of Automatica Sinica, Volume 8, Issue 3.
Cited by: Researchers in semi-active suspension systems.
Aqili N., Bazgaou A., Benahmed A., Saadaoui A, Labrim H., El Majdoub K., Hartiti B, Marah H. (2023). “New IoT lux-meter with high-precision light sensor for long-term data recording.” Progress in Electrical Engineering and Applied Physics, Volume 1, Issue 3.
Cited by: IoT-based energy efficiency research.
Ouadi H., Barra A., El Majdoub K. (2017). “Nonlinear Control for Grid Connected Wind Energy System with Multilevel Inverter.” Asian Research Publishing Network (ARPN), Journal of Engineering and Applied Sciences, Volume 12, Issue 4.
Cited by: Studies on renewable energy control systems.
Sabiri Z., Machkour N., El Majdoub K., Kheddioui E., Ouoba D., Ailane A. (2017). “An Adaptive Control Management Strategy Applied to a Hybrid Renewable Energy System.” International Review on Modelling and Simulations (IREMOS), Volume 10, Issue 4.
Cited by: Research on hybrid energy systems.
Conclusion
Prof. Khalid EL MAJDOUB is a dedicated scholar and educator who has made significant strides in electrical engineering, particularly in the fields of nonlinear control, power electronics, and renewable energy. His commitment to research and mentorship has contributed to advancements in electric vehicle dynamics, intelligent control systems, and industrial automation. Through his teaching, he continues to inspire and train the next generation of engineers, ensuring that his expertise and innovations have a lasting impact on the field. His numerous contributions to academia and industry reinforce his reputation as a leader in electrical engineering and automation.