flah aymen
Also known as: ASSOCIATE PROFESSOR, ELECTRICAL ENGINEERING, ASSISTANT PROFESSOR
University of Gabès, National school of engineering of gabès, Tunisia, national school of engineering of gabès, National school of engineering of gabès,
About
FLAH AYMEN was born in Tunisia in Gabès, on 1_1_83. Dr Flah his Ph.D in electrical engineering from National school of engineering of Gabès in Tunisia. He received MS.c. in automatic and intelligent techniques from the same school.
He was a supervisor on a lot of scientific projects since 2009. He has extensive experience in motor control applications and intelligent control methods. Since 2012, Electrical vehicle, as power management and control, and renewable energy are his research fields.
Employment
-
University of Gabès Associate professor2021 - Present
-
National school of engineering of gabès, Tunisia assistant professor2012 - Present
Education
-
national school of engineering of gabès PHD2009 - 2012
-
national school of engineering of gabès Master2007 - 2009
-
National school of engineering of gabès, Engineering2004 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (130)
- Advanced Fault Diagnosis in Photovoltaic Arrays Using a Metropolis-Hastings Convolutional Variational Autoencoder Save
- Enhancement and optimization of a graphene-based biosensing platform using machine learning for precise breast cancer detection Save
- Guided hybrid meta-intelligence for advanced photovoltaic parameter estimation Save
- Hybrid integral sliding mode and fuzzy logic control for omnidirectional robots: modified elephant herding optimization for trajectory tracking Save
- Integration of frequency selective surfaces with MIMO antennas for enhanced performance in IoT and V2V communication systems Save
- Multi-objective optimization and feasibility analysis of integrated biogas-solar energy systems for rural electrification Save
- Optimized FOC control strategy for dual stators permanent magnet machine Save
- Optimizing data privacy and security measures for critical infrastructures via IoT based ADP2S technique Save
- Power quality improvement and energy management in hybrid microgrids using a dual-optimization approach Save
- Sustainable thermal load prediction in residential buildings using machine learning: A case study analysis Save