Greater Oxford Area
I'm the founder & CEO of ArchAI. We use AI to automatically detect risks and opportunities from historic land use practises using earth observation data and historic maps. Our national maps of historic woodlands, orchards, field boundaries, ponds, parkland and ridge and furrow are already being used by the Forestry Commission and National Trust for the efficient and sensitive planning of landscape restoration projects. In 2020 I completed a PhD in Computer Science at the University of Southampton. I started my career with an undergraduate and masters in Archaeology and while writing my dissertation I noted a gap within the research of automated methods for the detection of archaeological sites. Looking beyond the research within archaeology I found that automation can be done for very challenging tasks and so I decided to pursuit a PhD into the most advanced method out there; Deep Learning. The critique by archaeologists towards automation has slowed down research into this field. It is my mission to get automation back on the research agenda and to get computer scientists into the loop. It can be said that archaeologists are faced with one of the most challenging tasks of geolocated object extraction as archaeological sites are some of the most overwritten objects in the landscape. I believe that together with computer scientists we can create robust methods for detection and move both fields forward.
Researching deep learning for the detection of archaeology on remote sensor data within the OS ImageLearn project.