School of Civil Engineering

Investigating the use of Machine Learning Techniques for Analysing the Surf Zone

This thesis will be concerned with the following: 1. the development of wave pocket tracking software for the surf zone, and 2. investigating machine learning methods to extract information from camera and LIDAR data of the swash zone. For both areas of research, the application of computer vision and machine learning techniques will be explored, particularly the use of deep learning through convolutional neural networks in data extraction processes.



3:00pm - 4:00pm

Tuesday, 5 May 2020


Zoom meeting -