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Shenyang began his PhD in February 2024, focusing on the application of computer vision to detect rip currents—a major coastal hazard worldwide. Rip currents are one of the main contributors to drowning, killing more people than shark attacks, floods, and hurricanes combined. Rip currents are narrow, fast-moving channels of water flowing seaward, often characterised by darker channels with fewer waves, less white foam, and significant water movement.

To address this issue, Shenyang is developing a computer vision-based application that allows beachgoers to identify rip currents simply by capturing and uploading videos via their smartphones. His research aims to enhance beach safety by providing real-time, accessible hazard detection.

Previously, Shenyang completed a Master’s degree in Information Technology from UNSW in 2023. His research interests include computer vision and machine learning.

Supervisors: Associate Professor Yang Song, Associate Professor Mitchell HarleyÌý²¹²Ô»å Dr Imran Razzak.