Assist Prof Dr. Karima Megdouli | Machine Learning to Optimise a Supersonic Ejector | Best Researcher Award

Sorbonne universite - France

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Early Academic Pursuits:

Karima Megdouli embarked on her academic journey in Energy Engineering, earning her National Diploma from the National Engineering School of Tunis in 2011. She continued her scholarly pursuits by undertaking a Ph.D. in Mechanics-Energetics at the National Engineering School of Monastir-Tunisia, culminating in her successful defense in September 2017.

Professional Endeavors:

With a profound expertise in thermodynamic simulations at both component and system levels, Her dedicated researcher and educator. Her academic path has seen her contribute significantly to the field of refrigeration systems, particularly in identifying innovative solutions to reduce pollutant emissions.

Contributions and Research Focus:

Her research has focused on advancing refrigeration systems and addressing environmental concerns. Her PhD thesis, titled "Contribution to the improvement of refrigeration systems and identification of novel solutions to reduce the emission of pollutants," reflects her commitment to sustainable and efficient energy solutions.

Accolades and Recognition:

Her dedication and excellence in her research were acknowledged with a very honorable distinction and the Jury's congratulations during her thesis defense in September 2017. Her noteworthy contributions have not only garnered recognition within academia but also contributed to the broader field of energy engineering.

Impact and Influence:

As a Research Assistant at Sorbonne University in Paris, France, since 2022, and previously at the University of Kairouan, Tunisia, from 2015 to 2019, Her actively participated in shaping the next generation of researchers. Her involvement in organizing the 1st International Colloquium reflects her commitment to fostering collaboration and knowledge exchange.

Legacy and Future Contributions:

Her left an indelible mark with a series of impactful publications, spanning topics such as solar ejector-vapor compression cycles, novel refrigeration systems, and energy and exergoeconomic analyses. Her recent work on optimizing carbon dioxide ejector expansion transcritical refrigeration systems using advanced techniques showcases her forward-looking approach to research.

Notable Publications:

Karima Megdouli | machine learning to optimise a supersonic ejector | Best Researcher Award

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