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Ashely Green

  • agreen at bournemouth dot ac dot uk
  • PhD Researcher
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Research

PhD: Creating software to enhance and/or automatically detect grave-like responses in geophysical datasets in order to improve the potential to detect inhumations during the pre-excavation stage of archaeological investigations

Favourites

  • Shine, D., Green, O'Carroll, F., Mandal, S., Mullee, B., 2016. What Lies Beneath - Chasing the Trim Town Wall Circuit. Archaeology Ireland, 30 (1).

Journal Articles

  • Shine, D., Green, O'Carroll, F., Mandal, S., Mullee, B., 2016. What Lies Beneath - Chasing the Trim Town Wall Circuit. Archaeology Ireland, 30 (1).

Conferences

  • Green, Cheetham, P., Darvill, T., 2017. Approaches to Improving the Pre-Excavation Detection of Inhumations. In: Jennings, B., Gaffney, C., Sparrow, T., Gaffney, S., eds. AP2017 - 12th International Conference of Archaeological Prospection 12/09/2017 Bradford, United Kingdom. 12th International Conference of Archaeological Prospection, 90-91 England: Archaeopress Archaeology.
  • Green, Cheetham, P., Darvill, T., 2017. Information systems and ad hoc workflow models as viable applications to improve the pre-excavation detection of characteristic human interments. In: CAA International 14/03/2017 Georgia State University, Atlanta, USA.

Reports

Theses

  • Green, A.. Detecting graves in GPR data: assessing the viability of machine learning for the interpretation of graves in B-scan data using medieval Irish case studies. Bournemouth University, Faculty of Science and Technology.

Posters

  • Green, Cheetham, P., 2016. Reimaging the Black Friary: Recent Approaches to Seeing Beyond Modern Activity at the Dominican Friary, Trim, Co Meath, Republic of Ireland. In: Near Surface Geophysics Group (NSGG) Meeting on Recent Work in Archaeological Geophysics.

Conference Presentations

  • Archaeological Prospection, POSTER: Approaches to Improving the Pre-Excavation Detection of Inhumations, 11 Sep 2017, Bradford, United Kingdom
  • Computer Applications and Quantitative Methods in Archaeology (CAA), Information systems and ad hoc workflow models as viable applications to improve the pre-excavation detection of characteristic human interments, 14 Mar 2017, Georgia State University, Atlanta, GA, USA

Qualifications

  • MSc in Forensic Archaeology (Bournemouth University, 2015)
  • BS in Biological Anthropology, Criminal Justice minor (Appalachian State University, 2014)

Memberships

  • Meath Archaeological & Historical Society, Member (2017-), https://mahs.ie/
  • CAA (Computer Applications and Quantitative Methods in Archaeology), Member (2016-),
  • International Society for Archaeological Prospection, Member,
  • Chartered Institute for Archaeologists, Member,
  • Aerial Archaeology Research Group, Member,
The data on this page was last updated at 05:00 on February 18, 2026.