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Shuai Nie RLX_9581c.jpg

Maysa Jehad SARSOUR

Priya Dwivedi closer.jpg
Priya Dwivedi closer.jpg
Priya Dwivedi closer.jpg
Priya Dwivedi closer.jpg

Employment experience:

2018 - 2021: Instructor (Al-Hussein Technical University, Jordan)

2016 - 2017: Electrical Site Engineer (2K: Architects / Planners / Engineers, Jordan)

2015 - 2016: Electrical Design Engineer (2K: Architects / Planners / Engineers, Jordan)


Education: 2015 - 2017: Master of Science in Mechanical Engineering/Renewable Energy (University of Jordan, Jordan) 2010 - 2014: Bachelor of Science in Electrical Engineering (Hashemite University of Jordan, Jordan)


Research interests:

  • Effect of nanoparticles on the performance of solar flat plate collectors

  • Utility-scale PV defect classification and prediction using machine learning algorithms


Why is your research important?

The study of photovoltaic (PV) system reliability provides insight into true PV power output over the project lifetime. Accurate reliability estimates result in better bankability. Therefore, it is important to proactively detect and predict faults and PV system degradation to maintain performance. My research will utilise machine learning algorithms to classify and proactively predict faults and degradation of utility-scale PV systems.


Why do you like research?

Research helps me to stay up to date with the current technologies, engage with the community, and build collaboration with other universities and institutions.


What do you like to do when you are not saving the world? Gym, swimming, and shopping.

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