Dr Yongjing Mao
| PhD | 2022 |
Remote Sensing and Coastal Geomorphology, The University of Queensland, Australia. |
| MSc | 2018 |
Coastal and Marine Engineering and Management, Delft University of Technology (TU Delft), Netherlands |
| BSc (Eng) | 2016 |
Harbour, Coastal and Offshore Engineering, Hohai University, China |
Dr. Yongjing Mao (preferred name: Mao) is an Associate Lecturer at the Water Research Laboratory within the School of Civil and Environmental Engineering. Mao holds a Bachelor's and Master's degree in Coastal Engineering and a PhD in Remote Sensing. Prior to his position at UNSW, he worked as a Postdoctoral Research Fellow at the University of Queensland.
Mao is an expert in integrating coastal morphology knowledge with remote sensing and machine learning methods to understand shoreline ch...
- Publications
- Awards
- Research Activities
- Teaching and Supervision
2022. UQ Dean's Award for Outstanding HDR Theses
2016. Erasmus Mundus Partner Country Scholarship (€49,000)
I apply spatio-temporal deep learning methods to model the shoreline change.
I extract shoreline from satellite images at regional, continental and global scales.
I study SAR-Optical satellite image fusion and explore its potential for shoreline monitoring.
I developed spatio-temporal deep learning models (e.g. ConvLSTM and PredRNN) for ground cover prediction in Great Barrier Reef Catchments.
I mapped coastal geomorphology on the global scale with the application of Google Earth Engine and machine learning.
My Teaching
CVEN9620 Rivers, Estuaries and Wetlands
ENGG2500 Fluid Mechanics for Engineers