Shidong Wang

Research Associate

I am a Research Associate at NEOLab, School of Engineering, Newcastle University. I am currently working on the PYRAMID project. In this project, I am responsible for developing advanced machine learning and deep learning models for extracting and integrating valuable information from multi-modal data sources, and incorporating them into hydrodynamic models to effectively predict and assess flood risks at (near-) real-time. Prior to joining NEOLab, I was a research assistant in Open Lab of Newcastle University, focusing on developing deep learning frameworks for human behaviour analysis.

I completed my PhD at the University of East Anglia in 2021, where I explored the deep learning methods that can be used to extract the discriminative and transformation-invariant tensor representations for remote sensing image categorisation. My primary research interests are machine learning and deep learning, with a focus on areas of learning deep representative features that support various computer vision tasks.


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