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Shuai Nie RLX_9581c.jpg


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

Employment experience:

2023 – Now: Senior Data Engineer (Mutinex, Australia)

2022 – 2023: Senior Consultant / Data Scientist (Enea Consulting, Australia)

2015 – 2018: Reliability R&D engineer (SunPower Corporation, USA)


2018 – 2022: Doctor of Philosophy in Photovoltaic Engineering (UNSW)

2013 – 2014: Master of Science (Stanford University, USA)

2010 – 2013: Engineering diploma (École Polytechnique, France)

Research interests:

Machine learning for:

  • Defect parameter extraction

  • Manufacturing optimization

  • Luminescence imaging analysis

Why is your research important?

Bringing the power of artificial intelligence to the solar industry is key to driving further growth in our understanding and maintain the highest standards in quality and reliability of solar cells and modules.

Why do you like research? 

Being able to work on a vast array of projects, all tied in with machine learning. Building an entire simulation and analysis pipeline from the ground-up is very rewarding, and the learnings along the way are strengthening lifelong useful skills.

What do you like to do when you are not saving the world?

Cook for my wife..

Actually, teaching and performing theatrical improvisation.

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