Name: Zhongda Ren

Position: visiting PhD student

Supervisor/s: Aaron Lim

Office: Research Office, Ground Floor, Department of Geography

Email Address: 52213904001@stu.ecnu.edu.cn

Biography

I am from East China Normal University in China, currently in my third year of the Ph.D. program. My research interest lies in using deep learning to detect subaqueous disaster geomorphology. I have participated in field measurements six times at the Yangtze River estuary, the middle and lower reaches of the Yangtze River, Huangpu River, and Minjiang River estuary, gaining extensive fieldwork experience. I have been honored with the title of "Excellent Student" at my school and have received the second prize in the Jilin Province Mathematical Modeling competition in China. My Ph.D. thesis will focus on the automatic detection of subaqueous disaster geomorphology based on acoustic multibeam data.

Research

My project primarily focuses on using deep learning to detect subaqueous disaster geomorphology in the middle and lower reaches of the Yangtze River and the Yangtze River estuary. In my research, I am primarily responsible for collecting and preprocessing acoustic multibeam data, training models, and evaluating the accuracy of these models.

Publications

Currently, there is a paper under review in Marine Geology entitled 'Deep learning-based simulation of surface suspended sediment concentration in the Yangtze Estuary during typhoon “In-Fa”.'