top of page
Shuai Nie RLX_9581c.jpg


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

Employment experience:

20212023: Research Fellow (UNSW)

20202020: Data Analyst (BIS Industry, Australia)

2019: Design Engineer (ASML, The Netherlands)

20132014: Research assistant (Max Planck Institute, Germany)

Education: 20142019: Doctor of Philosophy in Imaging Systems (Delft University of Technology, The Netherlands) 20082013: Bachelor and Master in Applied Physics (Indian Institute of Technology - Dhanbad, India)

Research interests: Machine learning and image analysis for the following:

  • Prediction of degradation using luminescence images.

  • Defect parameter extraction

  • Spectrum analysis

Why is your research important?

Artificial intelligence can learn patterns and correlations from data which could be difficult and expensive otherwise. I use machine learning algorithms to make photovoltaic (PV) technology even more efficient and cheaper. My research fastens the transition to PV-generated electricity around the world.

Why do you like research?

It is always exciting working on problems which have not been solved by anyone before.

What do you like to do when you are not saving the world? I like running, swimming, cooking and the most importantly, singing in the shower!

bottom of page