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Personal profile

Research interests

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.



  • seismology
  • Machine Learning
  • statistical modelling
  • earthquakes
  • induced seismicity


Dive into the research topics where Cindy Lim Shin Yee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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