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Yuerong Zhou

Ph.D. Candidate at University of Melbourne

Yuerong Zhou is a dedicated researcher specializing in machine learning rapid flood inundation modeling, with a keen interest in deep learning model interpretation and sensitivity analysis.

Yuerong Zhou has a diverse educational background, holding a Doctor of Philosophy (PhD) in Flood Inundation Modeling and a Master of Engineering (MEng) in Environmental Engineering Technology from the University of Melbourne, along with a Bachelor's degree in Renewable Energy Engineering and Technology from Zhejiang University.

Additionally, Yuerong Zhou pursued studies in Environmental Engineering Technology at the Tokyo Institute of Technology and Energy Engineering at Lund University.

Yuerong Zhou's past research includes global urban land cover growth projection using the SLEUTH model, resulting in the publication of a global urban growth dataset.

Yuerong Zhou has also contributed as a Teaching Assistant at the University of Melbourne and has shared research openly via their ORCID profile.

Yuerong Zhou
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Location

Melbourne, Australia