HYBRID Conference (on-site and virtual)
International Conference on
Starting in:
The first edition of the International Conference on Electrical Systems and Smart Technologies (ICESST 2024) aims to provide an international forum to facilitate discussion and knowledge exchange of the state-of-the-art research findings and current and future challenges and opportunities related with all facets and aspects of renewable and sustainable energy. The target public of ICESST 2024 includes all interested people from academia, industry and government, particularly, researchers, policy-makers, engineers, PhD and Masters students and other specialists interested in all issues related to Electrical Systems and smart technologies. The scope of ICESST 2024 covers a broad range of hot topics including renewable energy technologies, energy efficiency, electrical systems infrastructres, computer science, smart technologies infrastructres and artificial intellegence. Several workshops and tutorials will be hosted in this edition.
ICESST 2024 conference proceeding will be published in SUCI Sustainable Civil Infrastructures springer nature series book for indexing. Authors of selected papers will be invited to prepare the extended version to high scored journals.
Advanced Electrical Systems Infrastructure in Smart Cities
Artificial Intelligence and Optimization in Engineering
Real-time Monitoring and Biomedical Applications
Smart Infrastructure and Renewable Energy Systems
Smart Technologies, E-Mobility, and Industry 4.0
Advanced Energy Management and Smart Grids
ENSAM Casablanca, Hassan II University, Morocco
Ilias OUACHTOUK, an Assistant Professor at ENSAM Casablanca of HASSAN II University, earned his master's in electrical engineering from Mohammed V University, Rabat, in 2014. His research focuses on monitoring and diagnosing electromechanical systems, showcasing expertise in robust control systems, diagnostics, and control systems. Actively engaged in academia, he contributes to international conferences on renewable energy, electrical machines, and drives, serving on committees. His publications reflect a commitment to advancing the field and disseminating knowledge.
EST Dakhla, IBN ZOHR University , Morocco
PhD in Electrical Engineering at Mohammed V University (ENSAM-ENSIAS), Rabat, Morocco. With strong educational as well as technical background in Electrical Engineering and Industrial Computing, Modeling and Control of Renewable Energy Systems, Signal Processing and Artificial Intelligence approaches in Machine Learning and IoT.
Q36P+F3F, Dakhla 73000
Morocco
