Hongxing Cui

Postdoctoral Fellow

Postdoctoral Fellow

Current

Social Profile:

Research Interests

Hongxing's research focuses on the downscaling of atmospheric and oceanic variables over Saudi Arabia using deep learning. During his doctoral studies, he developed explainable machine learning methods to predict and understand tropical cyclone-induced ocean responses.

Selected Publications

Modeling ocean cooling induced by tropical cyclone wind pump using explainable machine learning framework. H Cui, D Tang, H Liu, H Liu, Y Sui, Y Lai, X Gu. IEEE Transactions on Geoscience and Remote Sensing. 2024. doi: 10.1109/TGRS.2024.3358374.

Predicting tropical cyclone‐induced sea surface temperature responses using machine learning. H Cui, D Tang, W Mei, H Liu, Y Sui, X Gu. Geophysical Research Letters. 2023. doi: 10.1029/2023GL104171.

Composite analysis-based machine learning for prediction of tropical cyclone-induced sea surface Height Anomaly. H Cui, D Tang, H Liu, Y Sui and X Gu. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023. doi: 10.1109/JSTARS.2023.3247881.

Education

2021 - 2024: Ph.D. (Marine Environmental Science),The Hong Kong University of Science and Technology, Hong Kong, China.

Research Interests Keywords

Atmospheric Ocean Deep Learning
KAUST

"KAUST shall be a beacon for peace, hope and reconciliation, and shall serve the people of the Kingdom and the world."

King Abdullah bin Abdulaziz Al Saud, 1924 – 2015

Contact Us

  • 4700 King Abdullah University of Science and Technology

    Thuwal 23955-6900, Kingdom of Saudi Arabia

    Al-Khwarizmi Building (1)

© King Abdullah University of Science and Technology. All rights reserved