Richard Strange

Richard Strange

Postgraduate

I am a DPhil student researching the applications of machine and deep learning with volcanic sensor data, primarily seismic data. Volcanic seismology is the widest-used tool for volcanic forecasting but in a complex and noisy environment, data can be unreliable and trends can be difficult to identify without hindsight. My work uses AI and signal processing to find trends in data that can be too noisy and too large for effective human analysis, to look at how volcanos build to an eruption and if we can better forecast them.

I am funded by NERC through the Doctoral Training Partnership in Environmental Research and I am a member of Linacre College.