2019 – 2022: Research Assistant (UNSW)
2019 – 2020: Undergraduate Research Student (CSIRO, Australia)
2021 – Now: Doctor of Philosophy (UNSW)
2016 – 2020: Bachelor of Photovoltaic Engineering (UNSW)
Novel applications of photoluminescence images and machine learning for:
Localisation and classification of defects
Prediction of various types of degradation
Spectral response analysis
Why is your research important?
Combining artificial intelligence (AI) with the amazing UNSW-developed techniques, such as photoluminescence imaging, will bring new insights to the photovoltaic industry. My research assists developing higher standards for quality and reliability of photovoltaic devices. This is a critical need, especially these days during the very fast growth of the solar industry. The most crucial aspect of my research is its contribution to tackling climate change. With faster and more efficient AI driven analysis techniques, we can make better and cheaper photovoltaic systems.
What do you like about research?
I find research to be a self-paced but challenging and rewarding learning environment and having general control over my projects has allowed me to guide that environment towards lifelong skills I have dreamt of developing. A few of these are machine learning and coding, solar cell characterisation and advanced solar cell concepts.
What do you like to do when you are not saving the world?
Sport, sport and sport! Taekwondo, volleyball and soccer and with my wife (if she can join).