Lindsay's experience ranges from: acoustic emissions recorded in the laboratory; seismic surveys for geotechnical purposes; seismicity induced by shallow and deep level mining; and, seismic reflection data. She has applied state-of-the-art seismic interpretation technology to extract information vital to shaft-sinking, optimal borehole siting, and mine-planning. Lindsay has specialist skills in determining seismic source mechanisms (laboratory tests in rock and concrete and mining seismology) through moment tensor inversion using her own code and expertise in dynamic numerical modelling (2D and 3D) of seismic waves for AE/NDT laboratory tests; mine-seismology problems; geotechnical problems; shaft-sinking, and reflection seismology. Lindsay is an expert user and programmer in mXrap, a geotechnical data analysis and monitoring platform within which data analysis tools have been developed under the ACG’s Mine Seismicity and Rockburst Risk Management project. Current interests are applying machine learning techniques to geophysical wireline and hyperspectral data.
