Sheng Xu

Sheng Xu is a Research Fellow at the Department of Technology and Security, UiT The Arctic University of Norway. His postdoctoral research focuses on designing adaptive learning models for maritime education and training (MET), particularly in Arctic navigation contexts. His work integrates risk assessment methodologies, Bayesian network modeling, and data-driven analytics to enhance operational safety in ice-covered waters.

Research interests include autonomous ship systems, collision risk mitigation in ice channels, and the application of probabilistic models to predict navigation hazards. He collaborates on projects analyzing vessel besetting incidents, ice load impacts on offshore structures, and human factors in Arctic navigation decision-making.

Publications span 2012–2025, emphasizing statistical analysis of ice-related maritime risks and software risk modeling for autonomous vessels. His studies frequently utilize AIS data, satellite imagery (e.g., Sentinel), and hybrid causal logic frameworks.

Key technical contributions include frameworks for failure scenario identification in autonomous ship control systems and reviews comparing risk analysis models in ice-covered regions. His work bridges engineering, environmental science, and policy to address challenges in Arctic shipping.