PhD in Electrical Engineering
Mohamed Khayri Rahmani holds a PhD in Electrical Engineering. His research has involved collaboration with the “Laboratory of Advanced Technology and Intelligent Systems (LATIS)” at the National Engineering School of Sousse (ENISO) and the BECOME Laboratory in Paris.
• He holds a degree in industrial electronics engineering, specializing in industrial control, from ENISO. Currently, his research focuses on the application of artificial intelligence (AI) to optimize energy consumption in buildings and businesses, while ensuring thermal comfort for occupants.
• Throughout his journey as a researcher, Mohamed Khayri has worked on innovative methods to improve energy efficiency using advanced AI and control techniques. His goal is to provide sustainable solutions that balance energy performance and user comfort.
5 records
This journal article presents the Twin-Federated-Loop architecture, focusing on privacy preservation and personalization in thermal comfort management.
View detailsThis journal article examines a novel data-balancing approach for thermal comfort prediction through numerical and experimental study.
View detailsThis conference paper examines predictive trajectory-based control of thermal comfort in smart buildings.
View detailsThis conference paper examines the role of gender in thermal comfort prediction in industrial environments using an XGBoost approach.
View detailsThis conference paper explores transfer learning with deep GRU-BiGRU models to address data scarcity in thermal comfort prediction for office environments with climates similar to Tunisia.
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