Jianwei Shi

Postdoctoral Fellows

Postdoctoral Fellow

TEAM MEMBER

Location:

Level 4, Building 1

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Biography

Jianwei Shi is a postdoctoral researcher in the Desalination Research Group (DESAL) at KAUST, working under Professor Noreddine Ghaffour. He earned his Ph.D. (2019–2023) and master's degree (2017–2019) at Fudan University. His research focuses on large-scale spatial data and machine learning methods for water desalination data, with broader interests in artificial intelligence and machine learning.

Research Interests

My current research focuses on large-scale spatial data and machine learning methods for water desalination data. I also have broad interests in artificial intelligence and machine learning.

Selected Publications

  • Shi, J., Wang, Y., Zhu, Z., & Lian, H. (2025). Decentralized Learning of Quantile Regression: A Smoothing Approach. Journal of Computational and Graphical Statistics, 34(3), 1091–1101. https://doi.org/10.1080/10618600.2024.2431060
  • Shi, J., Abdulah, S., Sun, Y., & Genton, M. G. (2026). Fully decentralized inference for spatial data using low-rank models. Journal of the Royal Statistical Society Series B: Statistical Methodology, qkag113. https://doi.org/10.1093/jrsssb/qkag113

 

Education

  • Ph.D., Fudan University, 2019–2023
  • Master’s degree, Fudan University, 2017–2019

Professional Profile

Postdoctoral researcher, Desalination Research Group (DESAL), KAUST, under Professor Noreddine Ghaffour.

Scientific and Professional Membership


KAUST Affiliations

  • Desalination Research Group (DESAL)

  • King Abdullah University of Science and Technology (KAUST)


Research Interests Keywords

Large-scale spatial data Machine Learning Artificial intelligence Water desalination data