Miss Cindy Lim Shin Yee

My research interests are utilising deep learning methods (e.g. Convolutional Neural Networks) to detect phase arrivals of hydraulic fracturing induced seismicity. I work on a continuous dataset containing >38,000 events from the Preston New Road shale gas site. I am particularly interested in the spatio-temporal relationships (e.g. earthquake clustering) that the machine-learning enhanced event catalogues may reveal.