Research output per year
Research output per year
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.
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Research output: Contribution to conference › Conference Paper
Student thesis: Master's Thesis › Master of Science by Research (MScR)