Biography
Dr. Zhouzun Xie is a Postdoctoral Fellow in Chemical Engineering at the University of New South Wales (UNSW), Australia, focusing on recycling processes for photovoltaic modules, process metallurgy, and the development of CFD-DEM models and machine learning in engineering. He earned his Ph.D. from UNSW in 2022, after completing his MEng and BEng at Northeastern University, China, in 2018 and 2015, respectively. His work has been recognized...view more
Dr. Zhouzun Xie is a Postdoctoral Fellow in Chemical Engineering at the University of New South Wales (UNSW), Australia, focusing on recycling processes for photovoltaic modules, process metallurgy, and the development of CFD-DEM models and machine learning in engineering. He earned his Ph.D. from UNSW in 2022, after completing his MEng and BEng at Northeastern University, China, in 2018 and 2015, respectively. His work has been recognized with several honours, including the Dean’s Award for Outstanding PhD Theses in 2023 and the UNSW Scientia PhD Scholarship in 2018.
My Grants
- ARC Research Hub for Photovoltaic Solar Panel Recycling and Sustainability (PVRS), A$5m. (CI, 16/27)
- UNSW small equipment scheme 2023, K Liang, Z Gu, ZZ Xie, F Trujillo, J Bao, YS Shen, Microvec AI-based 3D PIV (Particle Image Velocimetry) system, A$40k.
- NCI Adapter Scheme Q1 2023, ZZ Xie, High-fidelity multi-resolution modelling of tumour penetration behaviour of nanoparticles, 160KSU (A$800).
- NCI Adapter Scheme Q2 2023, S Song, ZZ Xie, High-resolution modelling of the migration of fines in suspension flow through membrane for wastewater treatment, 210KSU (A$1050).
My Qualifications
|
The University of New South Wales, Sydney, Australia |
Ph.D |
11/2022 |
|
Northeastern University, Shenyang, China |
MEng |
01/2018 |
|
Northeastern University, Shenyang, China |
BEng |
06/2015 |
My Awards
- Dean’s Award for Outstanding PhD Theses, 2023
- UNSW Scientia PhD Scholarship, 2018
My Research Activities
- End-of-life photovoltaic module recycling process
- Process metallurgy
- Multiphase reacting flow modelling
- Nanomedicine penetration in cancer treatment
- Machine learning
My Engagement
Member, Australiasian Particle Technology Society, 2019-present