معرفی
Shaoqing Guo is a Doctoral Researcher at the Department of Energy and Mechanical Engineering, School of Engineering. Their research focuses on maritime safety, data analysis, and system identification, particularly leveraging AIS data for trajectory analysis and collision avoidance. They have contributed to advancements in anomaly detection, trajectory compression, and kinematic interpolation techniques.
Research interests include System Identification, Interpolation, Anomaly Detection, and Data Preprocessing, with applications in maritime engineering and transportation systems. Their work emphasizes improving maritime traffic analysis through innovative data processing methods.
Recent publications highlight contributions to maritime traffic optimization, collision avoidance system testing, and AIS trajectory reconstruction. Collaborations involve interdisciplinary approaches to maritime technology challenges.
Currently holds no scientific awards or grants listed, and no advisees are documented. Active in the Marine and Arctic Technology research domain.
