Scientific Research & Digitisation
Research Pillars & Technological Innovations
Fusing geophysical science, artificial intelligence, and virtual technologies to reconstruct and preserve Egypt's digital heritage.
Egyptology
Documentation of research, scholarship, and scientific analysis of ancient Egyptian civilisation: analysing heritage sites and outcomes of case studies.
Integrating historical publications, textual records, and epigraphic analyses to establish a comprehensive academic baseline for digital reconstructions.
Archaeology
Documentation of archaeological discoveries, missions, and archaeologists at ancient Egypt, looking at heritage sites, artefacts, and collections.
Connecting onsite discovery coordinates to physical museum collections, enabling global artifact tracking and virtual repatriation.
Geophysics
Registration of geological and geophysical surveys, records and investigations of archaeological and sites of Ancient Egypt.
Map the sub-surface water distribution and rock units at the Hawara cemetery site (burial place of Amenemhat III) using GPR and ERT to map anomalies without excavation.
Digitalisation
Registration of digital records, surveys, and virtual reconstruction of sites, artefacts, and museum collections.
Guided by the 'HeritageCAVE' conceptual framework developed by Professor Mohamed Gamal Abdelmonem to capture, archive, visualise, and engage with spatial datasets.
Methodology Pipeline
Trace the trajectory of archaeological data. Click each node of our digital pipeline to explore the core processes, technologies, and formats.
Field Scan (GPR/LiDAR)
Deploying high-frequency Ground Penetrating Radar (GPR) arrays, terrestrial LiDAR scanners, and UAV photogrammetry teams. This phase registers physical terrain elevation alongside subsurface electromagnetic waves to capture geological anomalies at Hawara.
GPR (Ground Penetrating Radar), ERT (Electrical Resistivity Tomography), TLS (Terrestrial Laser Scanning)
Interact with Egypt's Digital Twin
Access the results of our geophysical investigations, inspect reconstructed artifacts, and query our historical datasets via specialized AI models.