Qingru LIU

Employment experience:

2024 – 2025: Image Processing and Machine Learning Intern (BT Imaging, Australia)

Education:

2025 – Now: Doctor of Philosophy in Photovoltaic Engineering (UNSW)

2023 – 2025: Master of Information Technology (UNSW)

2018 – 2022: Bachelor of Software Engineering (Donghua University, China)

Research interests:

• Machine learning applications in photovoltaic engineering

• Computer vision applied to PL/EL imaging for automated defect detection

  
  

Why is your research important? 

Machine learning-based quality inspection is essential for improving production efficiency in real-world manufacturing lines.

What do you like about research? 

From a mentor’s footsteps to my own journey — I now enjoy turning real-world challenges into learnable models.

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

Hanging out with my bunny, getting lost in the bush.