Landslide Hazard Mitigation using Engineered and Nature-based Approaches
Decarbonisation and Sustainability in Ground Improvement and Land Reclamation
Machine Learning in Multi-scale Physical and Numerical Modelling of Mass Wasting Processes
Transport and Burial Mechanisms of Microplastics in Submarine Environments
10 Selected Representative Publications
Wang Y., Cui Y. , Zhou W. and Choi C.E.* (2025) Seismic inversion for grain size distribution in granular geohazards: combining theory and experiments.
Géotechnique, (in press).
Zhang J. and Choi C.E.* (2024) Towards a universal settling model for microplastics with diverse shapes: machine learning breaking morphological barriers.
Water Research, 272:122961.
Choi C.E., Yu J. and Zhang J.* (2024) The missing link between field and modelled submarine debris flows: scale effects of physical modelling.
Earth-Science Reviews, 258:104911.
Choi C.E.* (2024) The 3rd Hutchinson Lecture: numerical modelling of forests as a nature-based solution to mitigate flow-type landslide hazards.
Landslides, 22: 2883-2896.
Choi C.E. and Liang Z.* (2024) Segmentation and deep learning to digitalize the frontal kinematics of flow-type landslides.
Acta Geotechnica, 19:6337-6356.
Choi C.E. and Song P.* (2023) New unsaturated erosion model for landslide: effects of flow particle size and debunking the importance of frictional stress.
Engineering Geology, 315:107024.
Choi C.E., Zhang J.* and Liang, Z. (2022) Towards realistic predictions of microplastic fibre transport: secondary motions.
Water Research, 218:118476.
Zhang J. and Choi C.E.* (2022) New shape-dependent drag model for microplastic fibers.
Environmental Science & Technology, 56(2):962-973.
Ng C.W.W., Majeed U. and Choi C.E.* (2022) Effects of solid fraction of saturated granular flows on overflow and landing mechanisms of rigid barriers. Géotechnique, 74(1):27-41.
Du J., Choi C.E.*, Yu J. and Thakur V. (2022) Mechanisms of submarine debris flow growth.
Journal of Geophysical Research: Earth Surface, 127(3), e2021JF006470.