Personal profile


Nick Dempsey is a Postdoctoral Research Fellow affiliated with both the Department of Forensic Medicine at Monash University and the Academic Division of the Victorian Institute of Forensic Medicine in Southbank, Victoria. His postdoctoral endeavors delve into the integration of AI within forensic medicine, particularly utilizing computer vision tasks to restore disrupted facial anatomy in images of deceased individuals. This AI initiative aims to enhance identification processes and estimate the living facial features of skeletal remains from missing persons involved in armed conflicts. Additionally, Nick collaborates with the Office of the United Nations High Commissioner for Human Rights (OHCHR) as a research advisor. In this capacity, he contributes to enhancing guidelines related to the protection of human remains from unlawful killings, under the purview of the UN Special Rapporteur on extra-judicial, summary, or arbitrary executions (Dr. Morris Tidball-Binz).

Research interests

Forensic Anthropology and Medicine

Machine Learning (Object Detection and Image Classification)

Public Health (Epidemiology and Statistics)


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 16 - Peace, Justice and Strong Institutions

Education/Academic qualification

Forensic Medicine, PhD, The Analysis of Skeletal Trauma in Medicolegal Contexts: Issues, Novel Approaches, and Future Directions., Department of Forensic Medicine

Award Date: 8 Aug 2022

Research area keywords

  • Forensic medicine
  • Artificial Intelligence and Image Processing
  • humanitarian forensic action

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or